From 3caf3a12469d017428d5e2bb94143185e8770038 Mon Sep 17 00:00:00 2001 From: Jim Crist-Harif Date: Wed, 29 Mar 2023 16:39:54 -0500 Subject: [PATCH] feat(api): replace `suffixes` in `join` with `lname`/`rname` BREAKING CHANGE: the `suffixes` argument in all join methods has been removed in favor of `lname`/`rname` args. The default renaming scheme for duplicate columns has also changed. To get the exact same behavior as before, pass in `lname="{name}_x", rname="{name}_y"`. --- docs/how_to/chain-expressions.md | 2 +- docs/how_to/memtable-join.md | 31 +- docs/ibis-for-pandas-users.ipynb | 2102 +---------------- ibis/backends/clickhouse/tests/test_select.py | 8 +- ibis/backends/tests/test_join.py | 8 +- ibis/expr/operations/relations.py | 8 +- ibis/expr/types/relations.py | 111 +- ibis/tests/expr/test_struct.py | 8 +- ibis/tests/expr/test_table.py | 57 +- .../test_limit_with_self_join/decompiled.py | 52 +- .../test_limit_with_self_join/out.sql | 35 +- .../test_multiple_joins/decompiled.py | 4 +- .../test_multiple_joins/out.sql | 4 +- .../test_subquery_used_for_self_join/out.sql | 6 +- .../test_no_cross_join/out.sql | 4 +- 15 files changed, 305 insertions(+), 2135 deletions(-) diff --git a/docs/how_to/chain-expressions.md b/docs/how_to/chain-expressions.md index 29614f99dd1a..652d8cad985d 100644 --- a/docs/how_to/chain-expressions.md +++ b/docs/how_to/chain-expressions.md @@ -59,7 +59,7 @@ join = ( # _ is the filtered result, and re-create xmod in t2 using modf: .join(t2, _.xmod == modf(t2)) # _ is the second join result: - .join(t1, _.xmod == modf(t1), suffixes=('', '_x')) + .join(t1, _.xmod == modf(t1)) # _ is the third join result: .select(_.x, _.y, _.z) # Finally, _ is the selection result: diff --git a/docs/how_to/memtable-join.md b/docs/how_to/memtable-join.md index 57725311823f..f67e7e52cfd1 100644 --- a/docs/how_to/memtable-join.md +++ b/docs/how_to/memtable-join.md @@ -87,24 +87,23 @@ and joining is the same as joining any two TableExpressions: ```python In [11]: # Join as you would two table expressions ...: measures.join( - ...: mem_events - ...: ,measures['event_id'] == mem_events['event_id'] - ...: ,suffixes=('', '__x') + ...: mem_events, + ...: measures['event_id'] == mem_events['event_id'] ...: ).execute() Out[11]: - event_id measured_on measurement event_id__x event_name - 0 0 2021-06-01 NaN 0 e0 - 1 0 2021-06-02 5.0 0 e0 - 2 1 2021-06-03 NaN 1 e1 - 3 1 2021-06-04 NaN 1 e1 - 4 1 2021-05-05 42.0 1 e1 - 5 2 2021-05-06 42.0 2 e2 - 6 2 2021-05-07 NaN 2 e2 - 7 2 2021-05-08 11.0 2 e2 - 8 2 2021-05-09 NaN 2 e2 - 9 2 2021-05-10 NaN 2 e2 - 10 3 2021-07-11 NaN 3 e3 - 11 3 2021-07-12 NaN 3 e3 + event_id measured_on measurement event_name + 0 0 2021-06-01 NaN e0 + 1 0 2021-06-02 5.0 e0 + 2 1 2021-06-03 NaN e1 + 3 1 2021-06-04 NaN e1 + 4 1 2021-05-05 42.0 e1 + 5 2 2021-05-06 42.0 e2 + 6 2 2021-05-07 NaN e2 + 7 2 2021-05-08 11.0 e2 + 8 2 2021-05-09 NaN e2 + 9 2 2021-05-10 NaN e2 + 10 3 2021-07-11 NaN e3 + 11 3 2021-07-12 NaN e3 ``` Note that the return result of the `join` is a TableExpression and that `execute` returns a pandas DataFrame. diff --git a/docs/ibis-for-pandas-users.ipynb b/docs/ibis-for-pandas-users.ipynb index 6752aa55157f..14d3c750e8f4 100644 --- a/docs/ibis-for-pandas-users.ipynb +++ b/docs/ibis-for-pandas-users.ipynb @@ -30,7 +30,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "bd23750c-bc6b-46db-a6d3-017f73a1d436", "metadata": {}, "outputs": [], @@ -51,64 +51,10 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "ba8432fc-8423-459a-8b56-c4720db65407", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
onetwothree
5a12
6b34
\n", - "
" - ], - "text/plain": [ - " one two three\n", - "5 a 1 2\n", - "6 b 3 4" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "df = pd.DataFrame(\n", " [\n", @@ -122,7 +68,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "2a226ff0-f1b4-49d8-b6bd-8a8bf5cae109", "metadata": {}, @@ -136,39 +81,10 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "62e08de9-ad4b-453a-b862-429d11b0432a", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
┏━━━━━━━━┳━━━━━━━┳━━━━━━━┓\n",
-       "┃ one    ┃ two   ┃ three ┃\n",
-       "┡━━━━━━━━╇━━━━━━━╇━━━━━━━┩\n",
-       "│ string │ int64 │ int64 │\n",
-       "├────────┼───────┼───────┤\n",
-       "│ a      │     1 │     2 │\n",
-       "│ b      │     3 │     4 │\n",
-       "└────────┴───────┴───────┘\n",
-       "
\n" - ], - "text/plain": [ - "┏━━━━━━━━┳━━━━━━━┳━━━━━━━┓\n", - "┃\u001b[1m \u001b[0m\u001b[1mone\u001b[0m\u001b[1m \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mtwo\u001b[0m\u001b[1m \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mthree\u001b[0m\u001b[1m \u001b[0m┃\n", - "┡━━━━━━━━╇━━━━━━━╇━━━━━━━┩\n", - "│ \u001b[2mstring\u001b[0m │ \u001b[2mint64\u001b[0m │ \u001b[2mint64\u001b[0m │\n", - "├────────┼───────┼───────┤\n", - "│ a │ \u001b[1;36m1\u001b[0m │ \u001b[1;36m2\u001b[0m │\n", - "│ b │ \u001b[1;36m3\u001b[0m │ \u001b[1;36m4\u001b[0m │\n", - "└────────┴───────┴───────┘" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "t = ibis.pandas.connect({'t': df}).table('t')\n", "t" @@ -187,24 +103,10 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "94ddeaf0-efb9-4be8-9a60-af26dd657ff6", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "one object\n", - "two int64\n", - "three int64\n", - "dtype: object" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "df.dtypes" ] @@ -219,25 +121,10 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "11770743-e66f-4001-988d-d5c7a5b40cd6", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "ibis.Schema {\n", - " one string\n", - " two int64\n", - " three int64\n", - "}" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "t.schema()" ] @@ -252,21 +139,10 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "68da325b-d549-4564-845a-20e3d99b5df7", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[('one', dtype('O')), ('two', dtype('int64')), ('three', dtype('int64'))]" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "t.schema().to_pandas()" ] @@ -285,21 +161,10 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "1d58bd48-1b20-4d06-917d-e10aa5ca5a62", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "3" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "len(t.schema())" ] @@ -314,31 +179,10 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "b1c45c64-9c2f-4d74-8c6b-847e6e94bf59", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "\u001b[1;36m2\u001b[0m"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "t.count()"
    ]
@@ -354,42 +198,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "id": "21af7477-0f2a-4c3b-8d00-fcbe4a82bf71",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(2, 3)"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "(t.count().execute(), len(t.schema()))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "id": "6970d109-a4ad-4f5a-9263-6361f71f2b2f",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(2, 3)"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "df.shape"
    ]
@@ -406,39 +228,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "id": "77d9bde4-8465-4ec4-b1a6-b69b32ea0398",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━┳━━━━━━━┓\n",
-       "┃ one    ┃ two   ┃\n",
-       "┡━━━━━━━━╇━━━━━━━┩\n",
-       "│ string │ int64 │\n",
-       "├────────┼───────┤\n",
-       "│ a      │     1 │\n",
-       "│ b      │     3 │\n",
-       "└────────┴───────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━┳━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1mone\u001b[0m\u001b[1m   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mtwo\u001b[0m\u001b[1m  \u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━╇━━━━━━━┩\n",
-       "│ \u001b[2mstring\u001b[0m │ \u001b[2mint64\u001b[0m │\n",
-       "├────────┼───────┤\n",
-       "│ a      │     \u001b[1;36m1\u001b[0m │\n",
-       "│ b      │     \u001b[1;36m3\u001b[0m │\n",
-       "└────────┴───────┘"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "t[['one', 'two']]"
    ]
@@ -453,39 +246,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "id": "9e9770c3-9aae-4aec-b426-84a435e74159",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━┳━━━━━━━┓\n",
-       "┃ one    ┃ two   ┃\n",
-       "┡━━━━━━━━╇━━━━━━━┩\n",
-       "│ string │ int64 │\n",
-       "├────────┼───────┤\n",
-       "│ a      │     1 │\n",
-       "│ b      │     3 │\n",
-       "└────────┴───────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━┳━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1mone\u001b[0m\u001b[1m   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mtwo\u001b[0m\u001b[1m  \u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━╇━━━━━━━┩\n",
-       "│ \u001b[2mstring\u001b[0m │ \u001b[2mint64\u001b[0m │\n",
-       "├────────┼───────┤\n",
-       "│ a      │     \u001b[1;36m1\u001b[0m │\n",
-       "│ b      │     \u001b[1;36m3\u001b[0m │\n",
-       "└────────┴───────┘"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "t['one', 'two']"
    ]
@@ -503,39 +267,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "id": "7ce3128c-a722-4948-be5d-a2f38873acf5",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━┓\n",
-       "┃ one    ┃\n",
-       "┡━━━━━━━━┩\n",
-       "│ string │\n",
-       "├────────┤\n",
-       "│ a      │\n",
-       "│ b      │\n",
-       "└────────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1mone\u001b[0m\u001b[1m   \u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━┩\n",
-       "│ \u001b[2mstring\u001b[0m │\n",
-       "├────────┤\n",
-       "│ a      │\n",
-       "│ b      │\n",
-       "└────────┘"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "t['one']"
    ]
@@ -550,39 +285,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "id": "7af612e6-dfee-40a5-a3df-788566fdd4eb",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━┓\n",
-       "┃ one    ┃\n",
-       "┡━━━━━━━━┩\n",
-       "│ string │\n",
-       "├────────┤\n",
-       "│ a      │\n",
-       "│ b      │\n",
-       "└────────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1mone\u001b[0m\u001b[1m   \u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━┩\n",
-       "│ \u001b[2mstring\u001b[0m │\n",
-       "├────────┤\n",
-       "│ a      │\n",
-       "│ b      │\n",
-       "└────────┘"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "t.one"
    ]
@@ -612,39 +318,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "id": "6f1f91bb-ea6c-4d0f-9344-1dae83d8e40e",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━━━┓\n",
-       "┃ one    ┃ two   ┃ three ┃ new_col ┃\n",
-       "┡━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━━━┩\n",
-       "│ string │ int64 │ int64 │ int64   │\n",
-       "├────────┼───────┼───────┼─────────┤\n",
-       "│ a      │     1 │     2 │       4 │\n",
-       "│ b      │     3 │     4 │       8 │\n",
-       "└────────┴───────┴───────┴─────────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1mone\u001b[0m\u001b[1m   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mtwo\u001b[0m\u001b[1m  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mthree\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mnew_col\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━━━┩\n",
-       "│ \u001b[2mstring\u001b[0m │ \u001b[2mint64\u001b[0m │ \u001b[2mint64\u001b[0m │ \u001b[2mint64\u001b[0m   │\n",
-       "├────────┼───────┼───────┼─────────┤\n",
-       "│ a      │     \u001b[1;36m1\u001b[0m │     \u001b[1;36m2\u001b[0m │       \u001b[1;36m4\u001b[0m │\n",
-       "│ b      │     \u001b[1;36m3\u001b[0m │     \u001b[1;36m4\u001b[0m │       \u001b[1;36m8\u001b[0m │\n",
-       "└────────┴───────┴───────┴─────────┘"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "mutated = t.mutate(new_col=t.three * 2)\n",
     "mutated"
@@ -661,45 +338,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "id": "84a0722d-2f84-4997-a4b6-ee44bb3dbcac",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━┳━━━━━━━┳━━━━━━━┓\n",
-       "┃ one    ┃ two   ┃ three ┃\n",
-       "┡━━━━━━━━╇━━━━━━━╇━━━━━━━┩\n",
-       "│ string │ int64 │ int64 │\n",
-       "├────────┼───────┼───────┤\n",
-       "│ a      │     1 │     2 │\n",
-       "│ b      │     3 │     4 │\n",
-       "└────────┴───────┴───────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━┳━━━━━━━┳━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1mone\u001b[0m\u001b[1m   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mtwo\u001b[0m\u001b[1m  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mthree\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━╇━━━━━━━╇━━━━━━━┩\n",
-       "│ \u001b[2mstring\u001b[0m │ \u001b[2mint64\u001b[0m │ \u001b[2mint64\u001b[0m │\n",
-       "├────────┼───────┼───────┤\n",
-       "│ a      │     \u001b[1;36m1\u001b[0m │     \u001b[1;36m2\u001b[0m │\n",
-       "│ b      │     \u001b[1;36m3\u001b[0m │     \u001b[1;36m4\u001b[0m │\n",
-       "└────────┴───────┴───────┘"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "t"
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "id": "6cc7fb9f-6720-454c-87e3-e0aad3baa3a5",
    "metadata": {},
@@ -710,46 +357,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "id": "cbb0190d-b9af-4d94-a395-254ef31854fe",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━━━━━━━━━━━━━┓\n",
-       "┃ Multiply(three, 2) ┃\n",
-       "┡━━━━━━━━━━━━━━━━━━━━┩\n",
-       "│ int64              │\n",
-       "├────────────────────┤\n",
-       "│                  4 │\n",
-       "│                  8 │\n",
-       "└────────────────────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━━━━━━━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1mMultiply(three, 2)\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━━━━━━━━━━━━━┩\n",
-       "│ \u001b[2mint64\u001b[0m              │\n",
-       "├────────────────────┤\n",
-       "│                  \u001b[1;36m4\u001b[0m │\n",
-       "│                  \u001b[1;36m8\u001b[0m │\n",
-       "└────────────────────┘"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "unnamed = (t.three * 2)\n",
     "unnamed"
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "id": "1a55f051",
    "metadata": {},
@@ -759,39 +376,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "id": "2e5a51d8",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━━┓\n",
-       "┃ new_col ┃\n",
-       "┡━━━━━━━━━┩\n",
-       "│ int64   │\n",
-       "├─────────┤\n",
-       "│       4 │\n",
-       "│       8 │\n",
-       "└─────────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1mnew_col\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━━┩\n",
-       "│ \u001b[2mint64\u001b[0m   │\n",
-       "├─────────┤\n",
-       "│       \u001b[1;36m4\u001b[0m │\n",
-       "│       \u001b[1;36m8\u001b[0m │\n",
-       "└─────────┘"
-      ]
-     },
-     "execution_count": 18,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "new_col = unnamed.name(\"new_col\")\n",
     "new_col"
@@ -807,39 +395,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "id": "28dbf1e2-f6db-48d1-a61c-e174a8be79bf",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━┳━━━━━━━┳━━━━━━━━━┓\n",
-       "┃ one    ┃ two   ┃ new_col ┃\n",
-       "┡━━━━━━━━╇━━━━━━━╇━━━━━━━━━┩\n",
-       "│ string │ int64 │ int64   │\n",
-       "├────────┼───────┼─────────┤\n",
-       "│ a      │     1 │       4 │\n",
-       "│ b      │     3 │       8 │\n",
-       "└────────┴───────┴─────────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━┳━━━━━━━┳━━━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1mone\u001b[0m\u001b[1m   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mtwo\u001b[0m\u001b[1m  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mnew_col\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━╇━━━━━━━╇━━━━━━━━━┩\n",
-       "│ \u001b[2mstring\u001b[0m │ \u001b[2mint64\u001b[0m │ \u001b[2mint64\u001b[0m   │\n",
-       "├────────┼───────┼─────────┤\n",
-       "│ a      │     \u001b[1;36m1\u001b[0m │       \u001b[1;36m4\u001b[0m │\n",
-       "│ b      │     \u001b[1;36m3\u001b[0m │       \u001b[1;36m8\u001b[0m │\n",
-       "└────────┴───────┴─────────┘"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "proj = t['one', 'two', new_col]\n",
     "proj"
@@ -857,42 +416,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": null,
    "id": "7abe3596-8eb7-480e-86f9-7303953c02ae",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['one', 'two', 'three']"
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "t.columns"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": null,
    "id": "e9ea485e-f433-4487-8c32-dac86fa19db2",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['three']"
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "subset = t.drop('one', 'two')\n",
     "subset.columns"
@@ -908,21 +445,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": null,
    "id": "b7d2b972-aa19-4647-8fb5-511062cfc8fd",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['two', 'three']"
-      ]
-     },
-     "execution_count": 22,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "subset = t['two', 'three']\n",
     "subset.columns"
@@ -941,78 +467,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": null,
    "id": "5ba58de0-78a6-4c59-ab72-6a55355ef2cb",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━┳━━━━━━━┳━━━━━━━┓\n",
-       "┃ one    ┃ two   ┃ three ┃\n",
-       "┡━━━━━━━━╇━━━━━━━╇━━━━━━━┩\n",
-       "│ string │ int64 │ int64 │\n",
-       "├────────┼───────┼───────┤\n",
-       "│ a      │     1 │     2 │\n",
-       "│ b      │     3 │     4 │\n",
-       "└────────┴───────┴───────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━┳━━━━━━━┳━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1mone\u001b[0m\u001b[1m   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mtwo\u001b[0m\u001b[1m  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mthree\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━╇━━━━━━━╇━━━━━━━┩\n",
-       "│ \u001b[2mstring\u001b[0m │ \u001b[2mint64\u001b[0m │ \u001b[2mint64\u001b[0m │\n",
-       "├────────┼───────┼───────┤\n",
-       "│ a      │     \u001b[1;36m1\u001b[0m │     \u001b[1;36m2\u001b[0m │\n",
-       "│ b      │     \u001b[1;36m3\u001b[0m │     \u001b[1;36m4\u001b[0m │\n",
-       "└────────┴───────┴───────┘"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "t"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": null,
    "id": "90bdae99-f2d1-4d81-bbe6-bc3de62923a0",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━┳━━━━━━━┳━━━━━━━┓\n",
-       "┃ one    ┃ two   ┃ three ┃\n",
-       "┡━━━━━━━━╇━━━━━━━╇━━━━━━━┩\n",
-       "│ string │ int64 │ int64 │\n",
-       "├────────┼───────┼───────┤\n",
-       "│ a      │     2 │     2 │\n",
-       "│ b      │     6 │     4 │\n",
-       "└────────┴───────┴───────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━┳━━━━━━━┳━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1mone\u001b[0m\u001b[1m   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mtwo\u001b[0m\u001b[1m  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mthree\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━╇━━━━━━━╇━━━━━━━┩\n",
-       "│ \u001b[2mstring\u001b[0m │ \u001b[2mint64\u001b[0m │ \u001b[2mint64\u001b[0m │\n",
-       "├────────┼───────┼───────┤\n",
-       "│ a      │     \u001b[1;36m2\u001b[0m │     \u001b[1;36m2\u001b[0m │\n",
-       "│ b      │     \u001b[1;36m6\u001b[0m │     \u001b[1;36m4\u001b[0m │\n",
-       "└────────┴───────┴───────┘"
-      ]
-     },
-     "execution_count": 24,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "mutated = t.mutate(two=t.two * 2)\n",
     "mutated"
@@ -1031,39 +499,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": null,
    "id": "8d5b4242-fb10-4574-88c6-d341826b8f6c",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━┳━━━━━━━┳━━━━━━━┓\n",
-       "┃ a      ┃ b     ┃ three ┃\n",
-       "┡━━━━━━━━╇━━━━━━━╇━━━━━━━┩\n",
-       "│ string │ int64 │ int64 │\n",
-       "├────────┼───────┼───────┤\n",
-       "│ a      │     1 │     2 │\n",
-       "│ b      │     3 │     4 │\n",
-       "└────────┴───────┴───────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━┳━━━━━━━┳━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1ma\u001b[0m\u001b[1m     \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mb\u001b[0m\u001b[1m    \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mthree\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━╇━━━━━━━╇━━━━━━━┩\n",
-       "│ \u001b[2mstring\u001b[0m │ \u001b[2mint64\u001b[0m │ \u001b[2mint64\u001b[0m │\n",
-       "├────────┼───────┼───────┤\n",
-       "│ a      │     \u001b[1;36m1\u001b[0m │     \u001b[1;36m2\u001b[0m │\n",
-       "│ b      │     \u001b[1;36m3\u001b[0m │     \u001b[1;36m4\u001b[0m │\n",
-       "└────────┴───────┴───────┘"
-      ]
-     },
-     "execution_count": 25,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "relabeled = t.relabel(dict(\n",
     "    one='a',\n",
@@ -1085,97 +524,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": null,
    "id": "8ce004ee-7723-4e97-a4c5-dff42693d6a0",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "\n",
-       "\n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "
sepal_lengthsepal_widthpetal_lengthpetal_widthspecies
05.13.51.40.2setosa
14.93.01.40.2setosa
24.73.21.30.2setosa
34.63.11.50.2setosa
45.03.61.40.2setosa
\n",
-       "
"
-      ],
-      "text/plain": [
-       "   sepal_length  sepal_width  petal_length  petal_width species\n",
-       "0           5.1          3.5           1.4          0.2  setosa\n",
-       "1           4.9          3.0           1.4          0.2  setosa\n",
-       "2           4.7          3.2           1.3          0.2  setosa\n",
-       "3           4.6          3.1           1.5          0.2  setosa\n",
-       "4           5.0          3.6           1.4          0.2  setosa"
-      ]
-     },
-     "execution_count": 26,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "df = pd.read_csv('https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv')\n",
     "df.head()"
@@ -1191,57 +543,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": null,
    "id": "3dd069d5-c2c6-4241-a648-76dcdf20cc37",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┓\n",
-       "┃ sepal_length ┃ sepal_width ┃ petal_length ┃ petal_width ┃ species ┃\n",
-       "┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━┩\n",
-       "│ float64      │ float64     │ float64      │ float64     │ string  │\n",
-       "├──────────────┼─────────────┼──────────────┼─────────────┼─────────┤\n",
-       "│          5.1 │         3.5 │          1.4 │         0.2 │ setosa  │\n",
-       "│          4.9 │         3.0 │          1.4 │         0.2 │ setosa  │\n",
-       "│          4.7 │         3.2 │          1.3 │         0.2 │ setosa  │\n",
-       "│          4.6 │         3.1 │          1.5 │         0.2 │ setosa  │\n",
-       "│          5.0 │         3.6 │          1.4 │         0.2 │ setosa  │\n",
-       "│          5.4 │         3.9 │          1.7 │         0.4 │ setosa  │\n",
-       "│          4.6 │         3.4 │          1.4 │         0.3 │ setosa  │\n",
-       "│          5.0 │         3.4 │          1.5 │         0.2 │ setosa  │\n",
-       "│          4.4 │         2.9 │          1.4 │         0.2 │ setosa  │\n",
-       "│          4.9 │         3.1 │          1.5 │         0.1 │ setosa  │\n",
-       "│            … │           … │            … │           … │ …       │\n",
-       "└──────────────┴─────────────┴──────────────┴─────────────┴─────────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1msepal_length\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1msepal_width\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mpetal_length\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mpetal_width\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mspecies\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━┩\n",
-       "│ \u001b[2mfloat64\u001b[0m      │ \u001b[2mfloat64\u001b[0m     │ \u001b[2mfloat64\u001b[0m      │ \u001b[2mfloat64\u001b[0m     │ \u001b[2mstring\u001b[0m  │\n",
-       "├──────────────┼─────────────┼──────────────┼─────────────┼─────────┤\n",
-       "│          \u001b[1;36m5.1\u001b[0m │         \u001b[1;36m3.5\u001b[0m │          \u001b[1;36m1.4\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m4.9\u001b[0m │         \u001b[1;36m3.0\u001b[0m │          \u001b[1;36m1.4\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m4.7\u001b[0m │         \u001b[1;36m3.2\u001b[0m │          \u001b[1;36m1.3\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m4.6\u001b[0m │         \u001b[1;36m3.1\u001b[0m │          \u001b[1;36m1.5\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m5.0\u001b[0m │         \u001b[1;36m3.6\u001b[0m │          \u001b[1;36m1.4\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m5.4\u001b[0m │         \u001b[1;36m3.9\u001b[0m │          \u001b[1;36m1.7\u001b[0m │         \u001b[1;36m0.4\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m4.6\u001b[0m │         \u001b[1;36m3.4\u001b[0m │          \u001b[1;36m1.4\u001b[0m │         \u001b[1;36m0.3\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m5.0\u001b[0m │         \u001b[1;36m3.4\u001b[0m │          \u001b[1;36m1.5\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m4.4\u001b[0m │         \u001b[1;36m2.9\u001b[0m │          \u001b[1;36m1.4\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m4.9\u001b[0m │         \u001b[1;36m3.1\u001b[0m │          \u001b[1;36m1.5\u001b[0m │         \u001b[1;36m0.1\u001b[0m │ setosa  │\n",
-       "│            \u001b[2m…\u001b[0m │           \u001b[2m…\u001b[0m │            \u001b[2m…\u001b[0m │           \u001b[2m…\u001b[0m │ \u001b[2m…\u001b[0m       │\n",
-       "└──────────────┴─────────────┴──────────────┴─────────────┴─────────┘"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "t = ibis.pandas.connect({'t': df}).table('t')\n",
     "t"
@@ -1261,45 +566,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": null,
    "id": "c668f96b-db88-4407-92da-06867024988b",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┓\n",
-       "┃ sepal_length ┃ sepal_width ┃ petal_length ┃ petal_width ┃ species ┃\n",
-       "┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━┩\n",
-       "│ float64      │ float64     │ float64      │ float64     │ string  │\n",
-       "├──────────────┼─────────────┼──────────────┼─────────────┼─────────┤\n",
-       "│          5.1 │         3.5 │          1.4 │         0.2 │ setosa  │\n",
-       "│          4.9 │         3.0 │          1.4 │         0.2 │ setosa  │\n",
-       "│          4.7 │         3.2 │          1.3 │         0.2 │ setosa  │\n",
-       "│          4.6 │         3.1 │          1.5 │         0.2 │ setosa  │\n",
-       "│          5.0 │         3.6 │          1.4 │         0.2 │ setosa  │\n",
-       "└──────────────┴─────────────┴──────────────┴─────────────┴─────────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1msepal_length\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1msepal_width\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mpetal_length\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mpetal_width\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mspecies\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━┩\n",
-       "│ \u001b[2mfloat64\u001b[0m      │ \u001b[2mfloat64\u001b[0m     │ \u001b[2mfloat64\u001b[0m      │ \u001b[2mfloat64\u001b[0m     │ \u001b[2mstring\u001b[0m  │\n",
-       "├──────────────┼─────────────┼──────────────┼─────────────┼─────────┤\n",
-       "│          \u001b[1;36m5.1\u001b[0m │         \u001b[1;36m3.5\u001b[0m │          \u001b[1;36m1.4\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m4.9\u001b[0m │         \u001b[1;36m3.0\u001b[0m │          \u001b[1;36m1.4\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m4.7\u001b[0m │         \u001b[1;36m3.2\u001b[0m │          \u001b[1;36m1.3\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m4.6\u001b[0m │         \u001b[1;36m3.1\u001b[0m │          \u001b[1;36m1.5\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m5.0\u001b[0m │         \u001b[1;36m3.6\u001b[0m │          \u001b[1;36m1.4\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "└──────────────┴─────────────┴──────────────┴─────────────┴─────────┘"
-      ]
-     },
-     "execution_count": 28,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "t.head(5)"
    ]
@@ -1326,45 +596,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": null,
    "id": "92455eef-6f15-48b9-b49b-2d3f8b38c6a7",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┓\n",
-       "┃ sepal_length ┃ sepal_width ┃ petal_length ┃ petal_width ┃ species ┃\n",
-       "┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━┩\n",
-       "│ float64      │ float64     │ float64      │ float64     │ string  │\n",
-       "├──────────────┼─────────────┼──────────────┼─────────────┼─────────┤\n",
-       "│          5.1 │         3.5 │          1.4 │         0.2 │ setosa  │\n",
-       "│          4.9 │         3.0 │          1.4 │         0.2 │ setosa  │\n",
-       "│          4.7 │         3.2 │          1.3 │         0.2 │ setosa  │\n",
-       "│          4.6 │         3.1 │          1.5 │         0.2 │ setosa  │\n",
-       "│          5.0 │         3.6 │          1.4 │         0.2 │ setosa  │\n",
-       "└──────────────┴─────────────┴──────────────┴─────────────┴─────────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1msepal_length\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1msepal_width\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mpetal_length\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mpetal_width\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mspecies\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━┩\n",
-       "│ \u001b[2mfloat64\u001b[0m      │ \u001b[2mfloat64\u001b[0m     │ \u001b[2mfloat64\u001b[0m      │ \u001b[2mfloat64\u001b[0m     │ \u001b[2mstring\u001b[0m  │\n",
-       "├──────────────┼─────────────┼──────────────┼─────────────┼─────────┤\n",
-       "│          \u001b[1;36m5.1\u001b[0m │         \u001b[1;36m3.5\u001b[0m │          \u001b[1;36m1.4\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m4.9\u001b[0m │         \u001b[1;36m3.0\u001b[0m │          \u001b[1;36m1.4\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m4.7\u001b[0m │         \u001b[1;36m3.2\u001b[0m │          \u001b[1;36m1.3\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m4.6\u001b[0m │         \u001b[1;36m3.1\u001b[0m │          \u001b[1;36m1.5\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m5.0\u001b[0m │         \u001b[1;36m3.6\u001b[0m │          \u001b[1;36m1.4\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "└──────────────┴─────────────┴──────────────┴─────────────┴─────────┘"
-      ]
-     },
-     "execution_count": 29,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "t.limit(5)"
    ]
@@ -1379,45 +614,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": null,
    "id": "8b1baecc-a88f-4415-9d64-9bc94cabdc20",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┓\n",
-       "┃ sepal_length ┃ sepal_width ┃ petal_length ┃ petal_width ┃ species ┃\n",
-       "┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━┩\n",
-       "│ float64      │ float64     │ float64      │ float64     │ string  │\n",
-       "├──────────────┼─────────────┼──────────────┼─────────────┼─────────┤\n",
-       "│          5.0 │         3.6 │          1.4 │         0.2 │ setosa  │\n",
-       "│          5.4 │         3.9 │          1.7 │         0.4 │ setosa  │\n",
-       "│          4.6 │         3.4 │          1.4 │         0.3 │ setosa  │\n",
-       "│          5.0 │         3.4 │          1.5 │         0.2 │ setosa  │\n",
-       "│          4.4 │         2.9 │          1.4 │         0.2 │ setosa  │\n",
-       "└──────────────┴─────────────┴──────────────┴─────────────┴─────────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1msepal_length\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1msepal_width\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mpetal_length\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mpetal_width\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mspecies\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━┩\n",
-       "│ \u001b[2mfloat64\u001b[0m      │ \u001b[2mfloat64\u001b[0m     │ \u001b[2mfloat64\u001b[0m      │ \u001b[2mfloat64\u001b[0m     │ \u001b[2mstring\u001b[0m  │\n",
-       "├──────────────┼─────────────┼──────────────┼─────────────┼─────────┤\n",
-       "│          \u001b[1;36m5.0\u001b[0m │         \u001b[1;36m3.6\u001b[0m │          \u001b[1;36m1.4\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m5.4\u001b[0m │         \u001b[1;36m3.9\u001b[0m │          \u001b[1;36m1.7\u001b[0m │         \u001b[1;36m0.4\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m4.6\u001b[0m │         \u001b[1;36m3.4\u001b[0m │          \u001b[1;36m1.4\u001b[0m │         \u001b[1;36m0.3\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m5.0\u001b[0m │         \u001b[1;36m3.4\u001b[0m │          \u001b[1;36m1.5\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m4.4\u001b[0m │         \u001b[1;36m2.9\u001b[0m │          \u001b[1;36m1.4\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "└──────────────┴─────────────┴──────────────┴─────────────┴─────────┘"
-      ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "t.limit(5, offset=4)"
    ]
@@ -1437,57 +637,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": null,
    "id": "ccf4e5da-06cd-4331-8ccf-897acc4405e2",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
-       "┃ Greater(sepal_width, 3.8) ┃\n",
-       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
-       "│ boolean                   │\n",
-       "├───────────────────────────┤\n",
-       "│ False                     │\n",
-       "│ False                     │\n",
-       "│ False                     │\n",
-       "│ False                     │\n",
-       "│ False                     │\n",
-       "│ True                      │\n",
-       "│ False                     │\n",
-       "│ False                     │\n",
-       "│ False                     │\n",
-       "│ False                     │\n",
-       "│ …                         │\n",
-       "└───────────────────────────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1mGreater(sepal_width, 3.8)\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
-       "│ \u001b[2mboolean\u001b[0m                   │\n",
-       "├───────────────────────────┤\n",
-       "│ False                     │\n",
-       "│ False                     │\n",
-       "│ False                     │\n",
-       "│ False                     │\n",
-       "│ False                     │\n",
-       "│ True                      │\n",
-       "│ False                     │\n",
-       "│ False                     │\n",
-       "│ False                     │\n",
-       "│ False                     │\n",
-       "│ \u001b[2m…\u001b[0m                         │\n",
-       "└───────────────────────────┘"
-      ]
-     },
-     "execution_count": 31,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "expr = t.sepal_width > 3.8\n",
     "expr"
@@ -1503,39 +656,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": null,
    "id": "180b2d01-84a0-4042-9d2e-07cbdbe5c8b5",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓\n",
-       "┃ Greater(sepal_width, 3.8) ┃ count ┃\n",
-       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩\n",
-       "│ boolean                   │ int64 │\n",
-       "├───────────────────────────┼───────┤\n",
-       "│ False                     │   144 │\n",
-       "│ True                      │     6 │\n",
-       "└───────────────────────────┴───────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1mGreater(sepal_width, 3.8)\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mcount\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩\n",
-       "│ \u001b[2mboolean\u001b[0m                   │ \u001b[2mint64\u001b[0m │\n",
-       "├───────────────────────────┼───────┤\n",
-       "│ False                     │   \u001b[1;36m144\u001b[0m │\n",
-       "│ True                      │     \u001b[1;36m6\u001b[0m │\n",
-       "└───────────────────────────┴───────┘"
-      ]
-     },
-     "execution_count": 32,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "expr.value_counts()"
    ]
@@ -1551,47 +675,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": null,
    "id": "63ff3e0d-2775-432a-8ecb-947d2c8cc0a5",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┓\n",
-       "┃ sepal_length ┃ sepal_width ┃ petal_length ┃ petal_width ┃ species ┃\n",
-       "┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━┩\n",
-       "│ float64      │ float64     │ float64      │ float64     │ string  │\n",
-       "├──────────────┼─────────────┼──────────────┼─────────────┼─────────┤\n",
-       "│          5.4 │         3.9 │          1.7 │         0.4 │ setosa  │\n",
-       "│          5.8 │         4.0 │          1.2 │         0.2 │ setosa  │\n",
-       "│          5.7 │         4.4 │          1.5 │         0.4 │ setosa  │\n",
-       "│          5.4 │         3.9 │          1.3 │         0.4 │ setosa  │\n",
-       "│          5.2 │         4.1 │          1.5 │         0.1 │ setosa  │\n",
-       "│          5.5 │         4.2 │          1.4 │         0.2 │ setosa  │\n",
-       "└──────────────┴─────────────┴──────────────┴─────────────┴─────────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1msepal_length\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1msepal_width\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mpetal_length\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mpetal_width\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mspecies\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━┩\n",
-       "│ \u001b[2mfloat64\u001b[0m      │ \u001b[2mfloat64\u001b[0m     │ \u001b[2mfloat64\u001b[0m      │ \u001b[2mfloat64\u001b[0m     │ \u001b[2mstring\u001b[0m  │\n",
-       "├──────────────┼─────────────┼──────────────┼─────────────┼─────────┤\n",
-       "│          \u001b[1;36m5.4\u001b[0m │         \u001b[1;36m3.9\u001b[0m │          \u001b[1;36m1.7\u001b[0m │         \u001b[1;36m0.4\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m5.8\u001b[0m │         \u001b[1;36m4.0\u001b[0m │          \u001b[1;36m1.2\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m5.7\u001b[0m │         \u001b[1;36m4.4\u001b[0m │          \u001b[1;36m1.5\u001b[0m │         \u001b[1;36m0.4\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m5.4\u001b[0m │         \u001b[1;36m3.9\u001b[0m │          \u001b[1;36m1.3\u001b[0m │         \u001b[1;36m0.4\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m5.2\u001b[0m │         \u001b[1;36m4.1\u001b[0m │          \u001b[1;36m1.5\u001b[0m │         \u001b[1;36m0.1\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m5.5\u001b[0m │         \u001b[1;36m4.2\u001b[0m │          \u001b[1;36m1.4\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "└──────────────┴─────────────┴──────────────┴─────────────┴─────────┘"
-      ]
-     },
-     "execution_count": 33,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "filtered = t[expr]\n",
     "filtered"
@@ -1607,47 +694,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": null,
    "id": "240ca8c8-b8ba-4826-831e-e2390cb6fbbb",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┓\n",
-       "┃ sepal_length ┃ sepal_width ┃ petal_length ┃ petal_width ┃ species ┃\n",
-       "┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━┩\n",
-       "│ float64      │ float64     │ float64      │ float64     │ string  │\n",
-       "├──────────────┼─────────────┼──────────────┼─────────────┼─────────┤\n",
-       "│          5.4 │         3.9 │          1.7 │         0.4 │ setosa  │\n",
-       "│          5.8 │         4.0 │          1.2 │         0.2 │ setosa  │\n",
-       "│          5.7 │         4.4 │          1.5 │         0.4 │ setosa  │\n",
-       "│          5.4 │         3.9 │          1.3 │         0.4 │ setosa  │\n",
-       "│          5.2 │         4.1 │          1.5 │         0.1 │ setosa  │\n",
-       "│          5.5 │         4.2 │          1.4 │         0.2 │ setosa  │\n",
-       "└──────────────┴─────────────┴──────────────┴─────────────┴─────────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1msepal_length\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1msepal_width\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mpetal_length\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mpetal_width\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mspecies\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━┩\n",
-       "│ \u001b[2mfloat64\u001b[0m      │ \u001b[2mfloat64\u001b[0m     │ \u001b[2mfloat64\u001b[0m      │ \u001b[2mfloat64\u001b[0m     │ \u001b[2mstring\u001b[0m  │\n",
-       "├──────────────┼─────────────┼──────────────┼─────────────┼─────────┤\n",
-       "│          \u001b[1;36m5.4\u001b[0m │         \u001b[1;36m3.9\u001b[0m │          \u001b[1;36m1.7\u001b[0m │         \u001b[1;36m0.4\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m5.8\u001b[0m │         \u001b[1;36m4.0\u001b[0m │          \u001b[1;36m1.2\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m5.7\u001b[0m │         \u001b[1;36m4.4\u001b[0m │          \u001b[1;36m1.5\u001b[0m │         \u001b[1;36m0.4\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m5.4\u001b[0m │         \u001b[1;36m3.9\u001b[0m │          \u001b[1;36m1.3\u001b[0m │         \u001b[1;36m0.4\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m5.2\u001b[0m │         \u001b[1;36m4.1\u001b[0m │          \u001b[1;36m1.5\u001b[0m │         \u001b[1;36m0.1\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m5.5\u001b[0m │         \u001b[1;36m4.2\u001b[0m │          \u001b[1;36m1.4\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "└──────────────┴─────────────┴──────────────┴─────────────┴─────────┘"
-      ]
-     },
-     "execution_count": 34,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "filtered = t[t.sepal_width > 3.8]\n",
     "filtered"
@@ -1664,39 +714,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": null,
    "id": "f971ed4e-c0de-4ebc-8be6-60eff433399f",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┓\n",
-       "┃ sepal_length ┃ sepal_width ┃ petal_length ┃ petal_width ┃ species ┃\n",
-       "┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━┩\n",
-       "│ float64      │ float64     │ float64      │ float64     │ string  │\n",
-       "├──────────────┼─────────────┼──────────────┼─────────────┼─────────┤\n",
-       "│          5.8 │         4.0 │          1.2 │         0.2 │ setosa  │\n",
-       "│          5.7 │         4.4 │          1.5 │         0.4 │ setosa  │\n",
-       "└──────────────┴─────────────┴──────────────┴─────────────┴─────────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1msepal_length\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1msepal_width\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mpetal_length\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mpetal_width\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mspecies\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━┩\n",
-       "│ \u001b[2mfloat64\u001b[0m      │ \u001b[2mfloat64\u001b[0m     │ \u001b[2mfloat64\u001b[0m      │ \u001b[2mfloat64\u001b[0m     │ \u001b[2mstring\u001b[0m  │\n",
-       "├──────────────┼─────────────┼──────────────┼─────────────┼─────────┤\n",
-       "│          \u001b[1;36m5.8\u001b[0m │         \u001b[1;36m4.0\u001b[0m │          \u001b[1;36m1.2\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m5.7\u001b[0m │         \u001b[1;36m4.4\u001b[0m │          \u001b[1;36m1.5\u001b[0m │         \u001b[1;36m0.4\u001b[0m │ setosa  │\n",
-       "└──────────────┴─────────────┴──────────────┴─────────────┴─────────┘"
-      ]
-     },
-     "execution_count": 35,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "filtered = t[(t.sepal_width > 3.8) & (t.sepal_length > 5.5)]\n",
     "filtered"
@@ -1712,39 +733,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": null,
    "id": "827c5756-a770-4106-9fb5-8eb98050aed9",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┓\n",
-       "┃ sepal_length ┃ sepal_width ┃ petal_length ┃ petal_width ┃ species ┃\n",
-       "┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━┩\n",
-       "│ float64      │ float64     │ float64      │ float64     │ string  │\n",
-       "├──────────────┼─────────────┼──────────────┼─────────────┼─────────┤\n",
-       "│          5.8 │         4.0 │          1.2 │         0.2 │ setosa  │\n",
-       "│          5.7 │         4.4 │          1.5 │         0.4 │ setosa  │\n",
-       "└──────────────┴─────────────┴──────────────┴─────────────┴─────────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1msepal_length\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1msepal_width\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mpetal_length\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mpetal_width\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mspecies\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━┩\n",
-       "│ \u001b[2mfloat64\u001b[0m      │ \u001b[2mfloat64\u001b[0m     │ \u001b[2mfloat64\u001b[0m      │ \u001b[2mfloat64\u001b[0m     │ \u001b[2mstring\u001b[0m  │\n",
-       "├──────────────┼─────────────┼──────────────┼─────────────┼─────────┤\n",
-       "│          \u001b[1;36m5.8\u001b[0m │         \u001b[1;36m4.0\u001b[0m │          \u001b[1;36m1.2\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m5.7\u001b[0m │         \u001b[1;36m4.4\u001b[0m │          \u001b[1;36m1.5\u001b[0m │         \u001b[1;36m0.4\u001b[0m │ setosa  │\n",
-       "└──────────────┴─────────────┴──────────────┴─────────────┴─────────┘"
-      ]
-     },
-     "execution_count": 36,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "filtered = t[t.sepal_width > 3.8][t.sepal_length > 5.5]\n",
     "filtered"
@@ -1762,64 +754,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": null,
    "id": "b33a1e2b-e297-46c5-a163-91ae8e62f7de",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┓\n",
-       "┃ sepal_length ┃ sepal_width ┃ petal_length ┃ petal_width ┃ species ┃\n",
-       "┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━┩\n",
-       "│ float64      │ float64     │ float64      │ float64     │ string  │\n",
-       "├──────────────┼─────────────┼──────────────┼─────────────┼─────────┤\n",
-       "│          5.1 │         3.5 │          1.4 │         0.2 │ setosa  │\n",
-       "│          4.7 │         3.2 │          1.3 │         0.2 │ setosa  │\n",
-       "│          4.6 │         3.1 │          1.5 │         0.2 │ setosa  │\n",
-       "│          5.0 │         3.6 │          1.4 │         0.2 │ setosa  │\n",
-       "│          5.4 │         3.9 │          1.7 │         0.4 │ setosa  │\n",
-       "│          4.6 │         3.4 │          1.4 │         0.3 │ setosa  │\n",
-       "│          5.0 │         3.4 │          1.5 │         0.2 │ setosa  │\n",
-       "│          4.9 │         3.1 │          1.5 │         0.1 │ setosa  │\n",
-       "│          5.4 │         3.7 │          1.5 │         0.2 │ setosa  │\n",
-       "│          4.8 │         3.4 │          1.6 │         0.2 │ setosa  │\n",
-       "│            … │           … │            … │           … │ …       │\n",
-       "└──────────────┴─────────────┴──────────────┴─────────────┴─────────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1msepal_length\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1msepal_width\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mpetal_length\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mpetal_width\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mspecies\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━┩\n",
-       "│ \u001b[2mfloat64\u001b[0m      │ \u001b[2mfloat64\u001b[0m     │ \u001b[2mfloat64\u001b[0m      │ \u001b[2mfloat64\u001b[0m     │ \u001b[2mstring\u001b[0m  │\n",
-       "├──────────────┼─────────────┼──────────────┼─────────────┼─────────┤\n",
-       "│          \u001b[1;36m5.1\u001b[0m │         \u001b[1;36m3.5\u001b[0m │          \u001b[1;36m1.4\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m4.7\u001b[0m │         \u001b[1;36m3.2\u001b[0m │          \u001b[1;36m1.3\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m4.6\u001b[0m │         \u001b[1;36m3.1\u001b[0m │          \u001b[1;36m1.5\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m5.0\u001b[0m │         \u001b[1;36m3.6\u001b[0m │          \u001b[1;36m1.4\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m5.4\u001b[0m │         \u001b[1;36m3.9\u001b[0m │          \u001b[1;36m1.7\u001b[0m │         \u001b[1;36m0.4\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m4.6\u001b[0m │         \u001b[1;36m3.4\u001b[0m │          \u001b[1;36m1.4\u001b[0m │         \u001b[1;36m0.3\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m5.0\u001b[0m │         \u001b[1;36m3.4\u001b[0m │          \u001b[1;36m1.5\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m4.9\u001b[0m │         \u001b[1;36m3.1\u001b[0m │          \u001b[1;36m1.5\u001b[0m │         \u001b[1;36m0.1\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m5.4\u001b[0m │         \u001b[1;36m3.7\u001b[0m │          \u001b[1;36m1.5\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m4.8\u001b[0m │         \u001b[1;36m3.4\u001b[0m │          \u001b[1;36m1.6\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│            \u001b[2m…\u001b[0m │           \u001b[2m…\u001b[0m │            \u001b[2m…\u001b[0m │           \u001b[2m…\u001b[0m │ \u001b[2m…\u001b[0m       │\n",
-       "└──────────────┴─────────────┴──────────────┴─────────────┴─────────┘"
-      ]
-     },
-     "execution_count": 37,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "filtered = t[t.sepal_width > t.sepal_width.mean()]\n",
     "filtered"
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "id": "441cc820",
    "metadata": {},
@@ -1835,57 +779,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": null,
    "id": "85f7e6b5",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓\n",
-       "┃ sepal_length ┃ sepal_width ┃ petal_length ┃ petal_width ┃ species ┃ species_modified ┃\n",
-       "┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩\n",
-       "│ float64      │ float64     │ float64      │ float64     │ string  │ string           │\n",
-       "├──────────────┼─────────────┼──────────────┼─────────────┼─────────┼──────────────────┤\n",
-       "│          5.1 │         3.5 │          1.4 │         0.2 │ setosa  │ wide             │\n",
-       "│          4.9 │         3.0 │          1.4 │         0.2 │ setosa  │ setosa           │\n",
-       "│          4.7 │         3.2 │          1.3 │         0.2 │ setosa  │ setosa           │\n",
-       "│          4.6 │         3.1 │          1.5 │         0.2 │ setosa  │ setosa           │\n",
-       "│          5.0 │         3.6 │          1.4 │         0.2 │ setosa  │ wide             │\n",
-       "│          5.4 │         3.9 │          1.7 │         0.4 │ setosa  │ wide             │\n",
-       "│          4.6 │         3.4 │          1.4 │         0.3 │ setosa  │ wide             │\n",
-       "│          5.0 │         3.4 │          1.5 │         0.2 │ setosa  │ wide             │\n",
-       "│          4.4 │         2.9 │          1.4 │         0.2 │ setosa  │ setosa           │\n",
-       "│          4.9 │         3.1 │          1.5 │         0.1 │ setosa  │ setosa           │\n",
-       "│            … │           … │            … │           … │ …       │ …                │\n",
-       "└──────────────┴─────────────┴──────────────┴─────────────┴─────────┴──────────────────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1msepal_length\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1msepal_width\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mpetal_length\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mpetal_width\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mspecies\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mspecies_modified\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩\n",
-       "│ \u001b[2mfloat64\u001b[0m      │ \u001b[2mfloat64\u001b[0m     │ \u001b[2mfloat64\u001b[0m      │ \u001b[2mfloat64\u001b[0m     │ \u001b[2mstring\u001b[0m  │ \u001b[2mstring\u001b[0m           │\n",
-       "├──────────────┼─────────────┼──────────────┼─────────────┼─────────┼──────────────────┤\n",
-       "│          \u001b[1;36m5.1\u001b[0m │         \u001b[1;36m3.5\u001b[0m │          \u001b[1;36m1.4\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │ wide             │\n",
-       "│          \u001b[1;36m4.9\u001b[0m │         \u001b[1;36m3.0\u001b[0m │          \u001b[1;36m1.4\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │ setosa           │\n",
-       "│          \u001b[1;36m4.7\u001b[0m │         \u001b[1;36m3.2\u001b[0m │          \u001b[1;36m1.3\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │ setosa           │\n",
-       "│          \u001b[1;36m4.6\u001b[0m │         \u001b[1;36m3.1\u001b[0m │          \u001b[1;36m1.5\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │ setosa           │\n",
-       "│          \u001b[1;36m5.0\u001b[0m │         \u001b[1;36m3.6\u001b[0m │          \u001b[1;36m1.4\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │ wide             │\n",
-       "│          \u001b[1;36m5.4\u001b[0m │         \u001b[1;36m3.9\u001b[0m │          \u001b[1;36m1.7\u001b[0m │         \u001b[1;36m0.4\u001b[0m │ setosa  │ wide             │\n",
-       "│          \u001b[1;36m4.6\u001b[0m │         \u001b[1;36m3.4\u001b[0m │          \u001b[1;36m1.4\u001b[0m │         \u001b[1;36m0.3\u001b[0m │ setosa  │ wide             │\n",
-       "│          \u001b[1;36m5.0\u001b[0m │         \u001b[1;36m3.4\u001b[0m │          \u001b[1;36m1.5\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │ wide             │\n",
-       "│          \u001b[1;36m4.4\u001b[0m │         \u001b[1;36m2.9\u001b[0m │          \u001b[1;36m1.4\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │ setosa           │\n",
-       "│          \u001b[1;36m4.9\u001b[0m │         \u001b[1;36m3.1\u001b[0m │          \u001b[1;36m1.5\u001b[0m │         \u001b[1;36m0.1\u001b[0m │ setosa  │ setosa           │\n",
-       "│            \u001b[2m…\u001b[0m │           \u001b[2m…\u001b[0m │            \u001b[2m…\u001b[0m │           \u001b[2m…\u001b[0m │ \u001b[2m…\u001b[0m       │ \u001b[2m…\u001b[0m                │\n",
-       "└──────────────┴─────────────┴──────────────┴─────────────┴─────────┴──────────────────┘"
-      ]
-     },
-     "execution_count": 38,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "wide_sepals = t.sepal_width > 3.3\n",
     "species_modified = wide_sepals.ifelse('wide', t.species)\n",
@@ -1912,97 +809,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": null,
    "id": "3fca2921-2f93-403e-aabd-ba941f374a02",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "\n",
-       "\n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "
sepal_lengthsepal_widthpetal_lengthpetal_widthspecies
134.33.01.10.1setosa
424.43.21.30.2setosa
384.43.01.30.2setosa
84.42.91.40.2setosa
414.52.31.30.3setosa
\n",
-       "
"
-      ],
-      "text/plain": [
-       "    sepal_length  sepal_width  petal_length  petal_width species\n",
-       "13           4.3          3.0           1.1          0.1  setosa\n",
-       "42           4.4          3.2           1.3          0.2  setosa\n",
-       "38           4.4          3.0           1.3          0.2  setosa\n",
-       "8            4.4          2.9           1.4          0.2  setosa\n",
-       "41           4.5          2.3           1.3          0.3  setosa"
-      ]
-     },
-     "execution_count": 39,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "df.sort_values(['sepal_length', 'sepal_width'], ascending=[True, False]).head(5)"
    ]
@@ -2020,45 +830,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": null,
    "id": "b984cc38-d235-431f-98bf-5cd3eaa401fd",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┓\n",
-       "┃ sepal_length ┃ sepal_width ┃ petal_length ┃ petal_width ┃ species ┃\n",
-       "┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━┩\n",
-       "│ float64      │ float64     │ float64      │ float64     │ string  │\n",
-       "├──────────────┼─────────────┼──────────────┼─────────────┼─────────┤\n",
-       "│          4.3 │         3.0 │          1.1 │         0.1 │ setosa  │\n",
-       "│          4.4 │         3.2 │          1.3 │         0.2 │ setosa  │\n",
-       "│          4.4 │         3.0 │          1.3 │         0.2 │ setosa  │\n",
-       "│          4.4 │         2.9 │          1.4 │         0.2 │ setosa  │\n",
-       "│          4.5 │         2.3 │          1.3 │         0.3 │ setosa  │\n",
-       "└──────────────┴─────────────┴──────────────┴─────────────┴─────────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1msepal_length\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1msepal_width\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mpetal_length\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mpetal_width\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mspecies\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━┩\n",
-       "│ \u001b[2mfloat64\u001b[0m      │ \u001b[2mfloat64\u001b[0m     │ \u001b[2mfloat64\u001b[0m      │ \u001b[2mfloat64\u001b[0m     │ \u001b[2mstring\u001b[0m  │\n",
-       "├──────────────┼─────────────┼──────────────┼─────────────┼─────────┤\n",
-       "│          \u001b[1;36m4.3\u001b[0m │         \u001b[1;36m3.0\u001b[0m │          \u001b[1;36m1.1\u001b[0m │         \u001b[1;36m0.1\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m4.4\u001b[0m │         \u001b[1;36m3.2\u001b[0m │          \u001b[1;36m1.3\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m4.4\u001b[0m │         \u001b[1;36m3.0\u001b[0m │          \u001b[1;36m1.3\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m4.4\u001b[0m │         \u001b[1;36m2.9\u001b[0m │          \u001b[1;36m1.4\u001b[0m │         \u001b[1;36m0.2\u001b[0m │ setosa  │\n",
-       "│          \u001b[1;36m4.5\u001b[0m │         \u001b[1;36m2.3\u001b[0m │          \u001b[1;36m1.3\u001b[0m │         \u001b[1;36m0.3\u001b[0m │ setosa  │\n",
-       "└──────────────┴─────────────┴──────────────┴─────────────┴─────────┘"
-      ]
-     },
-     "execution_count": 40,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "sorted = t.order_by(['sepal_length', ibis.desc('sepal_width')]).head(5)\n",
     "sorted"
@@ -2076,55 +851,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": null,
    "id": "fbd2705f-1fbb-4ba4-9273-ed6e9e89ec9c",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "\n",
-       "\n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "
total_sepal_widthavg.sepal_length
0458.65.843333
\n",
-       "
"
-      ],
-      "text/plain": [
-       "   total_sepal_width  avg.sepal_length\n",
-       "0              458.6          5.843333"
-      ]
-     },
-     "execution_count": 41,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "stats = [df.sepal_width.sum(), df.sepal_length.mean()]\n",
     "pd.DataFrame([stats], columns=['total_sepal_width', 'avg.sepal_length'])"
@@ -2140,37 +870,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": null,
    "id": "04090b90-3e2b-4cfe-ac57-52a652e45609",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓\n",
-       "┃ total_sepal_width ┃ avg_sepal_length ┃\n",
-       "┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩\n",
-       "│ float64           │ float64          │\n",
-       "├───────────────────┼──────────────────┤\n",
-       "│             458.6 │         5.843333 │\n",
-       "└───────────────────┴──────────────────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1mtotal_sepal_width\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mavg_sepal_length\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩\n",
-       "│ \u001b[2mfloat64\u001b[0m           │ \u001b[2mfloat64\u001b[0m          │\n",
-       "├───────────────────┼──────────────────┤\n",
-       "│             \u001b[1;36m458.6\u001b[0m │         \u001b[1;36m5.843333\u001b[0m │\n",
-       "└───────────────────┴──────────────────┘"
-      ]
-     },
-     "execution_count": 42,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "stats = [t.sepal_width.sum().name('total_sepal_width'), t.sepal_length.mean().name('avg_sepal_length')]\n",
     "agged = t.aggregate(stats)\n",
@@ -2187,37 +890,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": null,
    "id": "ac9dd0ba-fbe9-4a5f-b4d6-ab2b127e5a89",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓\n",
-       "┃ total_sepal_width ┃ avg_sepal_length ┃\n",
-       "┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩\n",
-       "│ float64           │ float64          │\n",
-       "├───────────────────┼──────────────────┤\n",
-       "│             458.6 │         5.843333 │\n",
-       "└───────────────────┴──────────────────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1mtotal_sepal_width\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mavg_sepal_length\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩\n",
-       "│ \u001b[2mfloat64\u001b[0m           │ \u001b[2mfloat64\u001b[0m          │\n",
-       "├───────────────────┼──────────────────┤\n",
-       "│             \u001b[1;36m458.6\u001b[0m │         \u001b[1;36m5.843333\u001b[0m │\n",
-       "└───────────────────┴──────────────────┘"
-      ]
-     },
-     "execution_count": 43,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "agged = t.aggregate(\n",
     "    total_sepal_width=t.sepal_width.sum(),\n",
@@ -2238,41 +914,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": null,
    "id": "3e773759-77ca-4eb5-a858-81d489399059",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓\n",
-       "┃ species    ┃ total_sepal_width ┃ avg_sepal_length ┃\n",
-       "┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩\n",
-       "│ string     │ float64           │ float64          │\n",
-       "├────────────┼───────────────────┼──────────────────┤\n",
-       "│ setosa     │             171.4 │            5.006 │\n",
-       "│ versicolor │             138.5 │            5.936 │\n",
-       "│ virginica  │             148.7 │            6.588 │\n",
-       "└────────────┴───────────────────┴──────────────────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1mspecies\u001b[0m\u001b[1m   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mtotal_sepal_width\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mavg_sepal_length\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩\n",
-       "│ \u001b[2mstring\u001b[0m     │ \u001b[2mfloat64\u001b[0m           │ \u001b[2mfloat64\u001b[0m          │\n",
-       "├────────────┼───────────────────┼──────────────────┤\n",
-       "│ setosa     │             \u001b[1;36m171.4\u001b[0m │            \u001b[1;36m5.006\u001b[0m │\n",
-       "│ versicolor │             \u001b[1;36m138.5\u001b[0m │            \u001b[1;36m5.936\u001b[0m │\n",
-       "│ virginica  │             \u001b[1;36m148.7\u001b[0m │            \u001b[1;36m6.588\u001b[0m │\n",
-       "└────────────┴───────────────────┴──────────────────┘"
-      ]
-     },
-     "execution_count": 44,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "agged = t.aggregate(\n",
     "    by='species',\n",
@@ -2292,41 +937,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": null,
    "id": "ca4ed3a8-d788-40f1-ae8e-52f691eaeb40",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓\n",
-       "┃ species    ┃ total_sepal_width ┃ avg_sepal_length ┃\n",
-       "┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩\n",
-       "│ string     │ float64           │ float64          │\n",
-       "├────────────┼───────────────────┼──────────────────┤\n",
-       "│ setosa     │             171.4 │            5.006 │\n",
-       "│ versicolor │             138.5 │            5.936 │\n",
-       "│ virginica  │             148.7 │            6.588 │\n",
-       "└────────────┴───────────────────┴──────────────────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1mspecies\u001b[0m\u001b[1m   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mtotal_sepal_width\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mavg_sepal_length\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩\n",
-       "│ \u001b[2mstring\u001b[0m     │ \u001b[2mfloat64\u001b[0m           │ \u001b[2mfloat64\u001b[0m          │\n",
-       "├────────────┼───────────────────┼──────────────────┤\n",
-       "│ setosa     │             \u001b[1;36m171.4\u001b[0m │            \u001b[1;36m5.006\u001b[0m │\n",
-       "│ versicolor │             \u001b[1;36m138.5\u001b[0m │            \u001b[1;36m5.936\u001b[0m │\n",
-       "│ virginica  │             \u001b[1;36m148.7\u001b[0m │            \u001b[1;36m6.588\u001b[0m │\n",
-       "└────────────┴───────────────────┴──────────────────┘"
-      ]
-     },
-     "execution_count": 45,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "agged = t.group_by('species').aggregate(\n",
     "    total_sepal_width=t.sepal_width.sum(),\n",
@@ -2351,7 +965,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": null,
    "id": "170fd8e7-4c2d-4981-8969-e064b2d8b176",
    "metadata": {},
    "outputs": [],
@@ -2373,7 +987,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": null,
    "id": "a5eb4117-c843-401d-8ca6-3b29c00f62da",
    "metadata": {},
    "outputs": [],
@@ -2403,32 +1017,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": null,
    "id": "dc002f3f-efaf-43e5-9f1f-e3a0bf683baf",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0      3.5\n",
-       "1      3.0\n",
-       "2      3.2\n",
-       "3      3.1\n",
-       "4      3.6\n",
-       "      ... \n",
-       "145    3.0\n",
-       "146    2.5\n",
-       "147    3.0\n",
-       "148    3.4\n",
-       "149    3.0\n",
-       "Name: sepal_width, Length: 150, dtype: object"
-      ]
-     },
-     "execution_count": 48,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "df.sepal_width.astype(str)"
    ]
@@ -2443,57 +1035,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": null,
    "id": "4537f3eb-7b94-4605-b409-8926e16608de",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
-       "┃ Cast(sepal_width, int64) ┃\n",
-       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
-       "│ int64                    │\n",
-       "├──────────────────────────┤\n",
-       "│                        3 │\n",
-       "│                        3 │\n",
-       "│                        3 │\n",
-       "│                        3 │\n",
-       "│                        3 │\n",
-       "│                        3 │\n",
-       "│                        3 │\n",
-       "│                        3 │\n",
-       "│                        2 │\n",
-       "│                        3 │\n",
-       "│                        … │\n",
-       "└──────────────────────────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1mCast(sepal_width, int64)\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
-       "│ \u001b[2mint64\u001b[0m                    │\n",
-       "├──────────────────────────┤\n",
-       "│                        \u001b[1;36m3\u001b[0m │\n",
-       "│                        \u001b[1;36m3\u001b[0m │\n",
-       "│                        \u001b[1;36m3\u001b[0m │\n",
-       "│                        \u001b[1;36m3\u001b[0m │\n",
-       "│                        \u001b[1;36m3\u001b[0m │\n",
-       "│                        \u001b[1;36m3\u001b[0m │\n",
-       "│                        \u001b[1;36m3\u001b[0m │\n",
-       "│                        \u001b[1;36m3\u001b[0m │\n",
-       "│                        \u001b[1;36m2\u001b[0m │\n",
-       "│                        \u001b[1;36m3\u001b[0m │\n",
-       "│                        \u001b[2m…\u001b[0m │\n",
-       "└──────────────────────────┘"
-      ]
-     },
-     "execution_count": 49,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "t.sepal_width.cast('int')"
    ]
@@ -2508,27 +1053,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": null,
    "id": "68dcb03c-6b97-4278-bb8a-13dda3da70dc",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "ibis.Schema {\n",
-       "  sepal_length  int64\n",
-       "  sepal_width   int64\n",
-       "  petal_length  float64\n",
-       "  petal_width   float64\n",
-       "  species       string\n",
-       "}"
-      ]
-     },
-     "execution_count": 50,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "casted = t.mutate(\n",
     "    sepal_width=t.sepal_width.cast('int'),\n",
@@ -2550,7 +1078,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": null,
    "id": "1a280ac1-0639-4757-9941-fad657ee04a9",
    "metadata": {},
    "outputs": [],
@@ -2572,80 +1100,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": null,
    "id": "58f0795e-43d9-4497-b484-4f74f60b3d3a",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━━━━━┳━━━━━━━┓\n",
-       "┃ species    ┃ count ┃\n",
-       "┡━━━━━━━━━━━━╇━━━━━━━┩\n",
-       "│ string     │ int64 │\n",
-       "├────────────┼───────┤\n",
-       "│ setosa     │    50 │\n",
-       "│ versicolor │    50 │\n",
-       "│ virginica  │    50 │\n",
-       "└────────────┴───────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━━━━━┳━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1mspecies\u001b[0m\u001b[1m   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mcount\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━━━━━╇━━━━━━━┩\n",
-       "│ \u001b[2mstring\u001b[0m     │ \u001b[2mint64\u001b[0m │\n",
-       "├────────────┼───────┤\n",
-       "│ setosa     │    \u001b[1;36m50\u001b[0m │\n",
-       "│ versicolor │    \u001b[1;36m50\u001b[0m │\n",
-       "│ virginica  │    \u001b[1;36m50\u001b[0m │\n",
-       "└────────────┴───────┘"
-      ]
-     },
-     "execution_count": 52,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "t.species.value_counts()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": null,
    "id": "a942ae68-8cc6-42b6-9676-2e2c5bbc6633",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓\n",
-       "┃ Contains(species) ┃ count ┃\n",
-       "┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩\n",
-       "│ boolean           │ int64 │\n",
-       "├───────────────────┼───────┤\n",
-       "│ False             │    50 │\n",
-       "│ True              │   100 │\n",
-       "└───────────────────┴───────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1mContains(species)\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mcount\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━┩\n",
-       "│ \u001b[2mboolean\u001b[0m           │ \u001b[2mint64\u001b[0m │\n",
-       "├───────────────────┼───────┤\n",
-       "│ False             │    \u001b[1;36m50\u001b[0m │\n",
-       "│ True              │   \u001b[1;36m100\u001b[0m │\n",
-       "└───────────────────┴───────┘"
-      ]
-     },
-     "execution_count": 53,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "refined = t.species.isin(['versicolor', 'virginica'])\n",
     "refined.value_counts()"
@@ -2659,12 +1127,7 @@
     "## Merging tables\n",
     "\n",
     "While pandas uses the `merge` method to combine data from multiple `DataFrames`, Ibis uses the\n",
-    "`join` method. They both have similar capabilities. The signature for the `join` method in Ibis\n",
-    "is: `join(right, predicates=(), how='inner', *, suffixes=('_x', '_y'))`. The `merge` method on\n",
-    "pandas' `DataFrame` allows many more parameters, but the signature with the corresponding\n",
-    "parameters would be: `join(right, on=(), how='inner', *, suffixes=('_x', '_y'))`. The valid values\n",
-    "of the `how=` parameter will vary depending on the backend, but common values are 'inner', 'outer',\n",
-    "'left', and 'right'.\n",
+    "`join` method. They both have similar capabilities.\n",
     "\n",
     "The biggest difference between Ibis' `join` method and pandas' `merge` method is that pandas only\n",
     "accepts column names or index levels to join on, whereas Ibis can merge on expressions.\n",
@@ -2674,7 +1137,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": null,
    "id": "1d244188-0e5d-441d-b9ed-e6bed6ebf287",
    "metadata": {},
    "outputs": [],
@@ -2694,158 +1157,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": null,
    "id": "25e4c74f-178b-4c77-877d-2057e91f393a",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "\n",
-       "\n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "
namexyx_100y_100
0a12100200
\n",
-       "
"
-      ],
-      "text/plain": [
-       "  name  x  y  x_100  y_100\n",
-       "0    a  1  2    100    200"
-      ]
-     },
-     "execution_count": 55,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "df_left.merge(df_right, on='name')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": null,
    "id": "f28d2c44-1ec6-4e38-af40-527936db6a6d",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "\n",
-       "\n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "
namexyx_100y_100
0a1.02.0100.0200.0
1b3.04.0NaNNaN
2c4.06.0NaNNaN
3mNaNNaN300.0400.0
4nNaNNaN400.0600.0
\n",
-       "
"
-      ],
-      "text/plain": [
-       "  name    x    y  x_100  y_100\n",
-       "0    a  1.0  2.0  100.0  200.0\n",
-       "1    b  3.0  4.0    NaN    NaN\n",
-       "2    c  4.0  6.0    NaN    NaN\n",
-       "3    m  NaN  NaN  300.0  400.0\n",
-       "4    n  NaN  NaN  400.0  600.0"
-      ]
-     },
-     "execution_count": 56,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "df_left.merge(df_right, on='name', how='outer')"
    ]
@@ -2860,7 +1185,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": null,
    "id": "e1cbaa65-7c76-4e2f-bf29-dff02c05dc25",
    "metadata": {},
    "outputs": [],
@@ -2872,37 +1197,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": null,
    "id": "45cc37a6-601f-48e5-a266-39380c165bff",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┓\n",
-       "┃ name   ┃ x     ┃ y     ┃ x_100 ┃ y_100 ┃\n",
-       "┡━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━┩\n",
-       "│ string │ int64 │ int64 │ int64 │ int64 │\n",
-       "├────────┼───────┼───────┼───────┼───────┤\n",
-       "│ a      │     1 │     2 │   100 │   200 │\n",
-       "└────────┴───────┴───────┴───────┴───────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1mname\u001b[0m\u001b[1m  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mx\u001b[0m\u001b[1m    \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1my\u001b[0m\u001b[1m    \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mx_100\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1my_100\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━┩\n",
-       "│ \u001b[2mstring\u001b[0m │ \u001b[2mint64\u001b[0m │ \u001b[2mint64\u001b[0m │ \u001b[2mint64\u001b[0m │ \u001b[2mint64\u001b[0m │\n",
-       "├────────┼───────┼───────┼───────┼───────┤\n",
-       "│ a      │     \u001b[1;36m1\u001b[0m │     \u001b[1;36m2\u001b[0m │   \u001b[1;36m100\u001b[0m │   \u001b[1;36m200\u001b[0m │\n",
-       "└────────┴───────┴───────┴───────┴───────┘"
-      ]
-     },
-     "execution_count": 58,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "t_left.join(t_right, t_left.name == t_right.name)"
    ]
@@ -2912,54 +1210,15 @@
    "id": "4597efd7-5bcf-4c78-9fa9-f60cbd893ea4",
    "metadata": {},
    "source": [
-    "You may notice that in Ibis joins, even if the predicate is an equality expression and both tables\n",
-    "have the same column name, you will still get multiple output columns with suffixes added.\n",
-    "This may change in a future version to match the pandas behavior.\n",
-    "\n",
     "Below is an outer join where missing values are filled with `NaN`."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": null,
    "id": "6142e659-d60b-4f0c-8d37-7ac53d4a7a5b",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━┓\n",
-       "┃ name_x ┃ x     ┃ y     ┃ name_y ┃ x_100 ┃ y_100 ┃\n",
-       "┡━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━┩\n",
-       "│ string │ int64 │ int64 │ string │ int64 │ int64 │\n",
-       "├────────┼───────┼───────┼────────┼───────┼───────┤\n",
-       "│ a      │     1 │     2 │ a      │   100 │   200 │\n",
-       "│ b      │     3 │     4 │ b      │     ∅ │     ∅ │\n",
-       "│ c      │     4 │     6 │ c      │     ∅ │     ∅ │\n",
-       "│ m      │     ∅ │     ∅ │ m      │   300 │   400 │\n",
-       "│ n      │     ∅ │     ∅ │ n      │   400 │   600 │\n",
-       "└────────┴───────┴───────┴────────┴───────┴───────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1mname_x\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mx\u001b[0m\u001b[1m    \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1my\u001b[0m\u001b[1m    \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mname_y\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mx_100\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1my_100\u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━┩\n",
-       "│ \u001b[2mstring\u001b[0m │ \u001b[2mint64\u001b[0m │ \u001b[2mint64\u001b[0m │ \u001b[2mstring\u001b[0m │ \u001b[2mint64\u001b[0m │ \u001b[2mint64\u001b[0m │\n",
-       "├────────┼───────┼───────┼────────┼───────┼───────┤\n",
-       "│ a      │     \u001b[1;36m1\u001b[0m │     \u001b[1;36m2\u001b[0m │ a      │   \u001b[1;36m100\u001b[0m │   \u001b[1;36m200\u001b[0m │\n",
-       "│ b      │     \u001b[1;36m3\u001b[0m │     \u001b[1;36m4\u001b[0m │ b      │     \u001b[2m∅\u001b[0m │     \u001b[2m∅\u001b[0m │\n",
-       "│ c      │     \u001b[1;36m4\u001b[0m │     \u001b[1;36m6\u001b[0m │ c      │     \u001b[2m∅\u001b[0m │     \u001b[2m∅\u001b[0m │\n",
-       "│ m      │     \u001b[2m∅\u001b[0m │     \u001b[2m∅\u001b[0m │ m      │   \u001b[1;36m300\u001b[0m │   \u001b[1;36m400\u001b[0m │\n",
-       "│ n      │     \u001b[2m∅\u001b[0m │     \u001b[2m∅\u001b[0m │ n      │   \u001b[1;36m400\u001b[0m │   \u001b[1;36m600\u001b[0m │\n",
-       "└────────┴───────┴───────┴────────┴───────┴───────┘"
-      ]
-     },
-     "execution_count": 59,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "t_left.join(t_right, t_left.name == t_right.name, how='outer')"
    ]
@@ -2983,7 +1242,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": null,
    "id": "0aa28ac6-bf75-4b47-8986-0ecb1e7ff28e",
    "metadata": {},
    "outputs": [],
@@ -3003,92 +1262,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": null,
    "id": "19482224-2a86-4925-be2a-c5412f3d488d",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "\n",
-       "\n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "
namexy
0a12
1b34
2c46
0a100200
1m300400
2n400600
\n",
-       "
"
-      ],
-      "text/plain": [
-       "  name    x    y\n",
-       "0    a    1    2\n",
-       "1    b    3    4\n",
-       "2    c    4    6\n",
-       "0    a  100  200\n",
-       "1    m  300  400\n",
-       "2    n  400  600"
-      ]
-     },
-     "execution_count": 61,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "pd.concat([df_1, df_2])"
    ]
@@ -3103,7 +1280,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": null,
    "id": "efbbb4b4-ef7e-4e8a-a8e2-359ffc70db58",
    "metadata": {},
    "outputs": [],
@@ -3115,47 +1292,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": null,
    "id": "56f6ab13-be06-4779-8289-dd838bde2ece",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
┏━━━━━━━━┳━━━━━━━┳━━━━━━━┓\n",
-       "┃ name   ┃ x     ┃ y     ┃\n",
-       "┡━━━━━━━━╇━━━━━━━╇━━━━━━━┩\n",
-       "│ string │ int64 │ int64 │\n",
-       "├────────┼───────┼───────┤\n",
-       "│ a      │     1 │     2 │\n",
-       "│ b      │     3 │     4 │\n",
-       "│ c      │     4 │     6 │\n",
-       "│ a      │   100 │   200 │\n",
-       "│ m      │   300 │   400 │\n",
-       "│ n      │   400 │   600 │\n",
-       "└────────┴───────┴───────┘\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "┏━━━━━━━━┳━━━━━━━┳━━━━━━━┓\n",
-       "┃\u001b[1m \u001b[0m\u001b[1mname\u001b[0m\u001b[1m  \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mx\u001b[0m\u001b[1m    \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1my\u001b[0m\u001b[1m    \u001b[0m\u001b[1m \u001b[0m┃\n",
-       "┡━━━━━━━━╇━━━━━━━╇━━━━━━━┩\n",
-       "│ \u001b[2mstring\u001b[0m │ \u001b[2mint64\u001b[0m │ \u001b[2mint64\u001b[0m │\n",
-       "├────────┼───────┼───────┤\n",
-       "│ a      │     \u001b[1;36m1\u001b[0m │     \u001b[1;36m2\u001b[0m │\n",
-       "│ b      │     \u001b[1;36m3\u001b[0m │     \u001b[1;36m4\u001b[0m │\n",
-       "│ c      │     \u001b[1;36m4\u001b[0m │     \u001b[1;36m6\u001b[0m │\n",
-       "│ a      │   \u001b[1;36m100\u001b[0m │   \u001b[1;36m200\u001b[0m │\n",
-       "│ m      │   \u001b[1;36m300\u001b[0m │   \u001b[1;36m400\u001b[0m │\n",
-       "│ n      │   \u001b[1;36m400\u001b[0m │   \u001b[1;36m600\u001b[0m │\n",
-       "└────────┴───────┴───────┘"
-      ]
-     },
-     "execution_count": 63,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "unioned = ibis.union(t_1, t_2)\n",
     "unioned"
@@ -3164,7 +1304,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": ".venv",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -3178,7 +1318,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.10.10"
   },
   "vscode": {
    "interpreter": {
diff --git a/ibis/backends/clickhouse/tests/test_select.py b/ibis/backends/clickhouse/tests/test_select.py
index c8a23b76c201..281b296a5818 100644
--- a/ibis/backends/clickhouse/tests/test_select.py
+++ b/ibis/backends/clickhouse/tests/test_select.py
@@ -373,9 +373,9 @@ def test_asof_join(time_left, time_right):
             time_left['key'] == time_right['key'],
             time_left['time'] >= time_right['time'],
         ],
-    )
+    ).drop("time_right")
     result = expr.execute()
-    result['time'] = result['time_x']
-    result.drop(['time_x', 'time_y'], axis=1, inplace=True)
-    expected = pd.merge_asof(time_left.execute(), time_right.execute(), on='time')
+    expected = pd.merge_asof(
+        time_left.execute(), time_right.execute(), on='time', suffixes=("", "_right")
+    )
     tm.assert_frame_equal(result[expected.columns], expected)
diff --git a/ibis/backends/tests/test_join.py b/ibis/backends/tests/test_join.py
index 8df8bc4ecb46..754ff7154de0 100644
--- a/ibis/backends/tests/test_join.py
+++ b/ibis/backends/tests/test_join.py
@@ -101,12 +101,12 @@ def test_mutating_join(backend, batting, awards_players, how):
             expr.execute()
             .fillna(np.nan)
             .assign(
-                playerID=lambda df: df.playerID_x.where(
-                    df.playerID_x.notnull(),
-                    df.playerID_y,
+                playerID=lambda df: df.playerID.where(
+                    df.playerID.notnull(),
+                    df.playerID_right,
                 )
             )
-            .drop(['playerID_x', 'playerID_y'], axis=1)[left.columns]
+            .drop(['playerID_right'], axis=1)[left.columns]
             .sort_values(result_order)
             .reset_index(drop=True)
         )
diff --git a/ibis/expr/operations/relations.py b/ibis/expr/operations/relations.py
index 71e870ebb0a8..b0bebfeb940e 100644
--- a/ibis/expr/operations/relations.py
+++ b/ibis/expr/operations/relations.py
@@ -611,7 +611,7 @@ def schema(self):
         return backend._get_schema_using_query(self.query)
 
 
-def _dedup_join_columns(expr, suffixes: tuple[str, str]):
+def _dedup_join_columns(expr, lname: str, rname: str):
     op = expr.op()
     left = op.left.to_expr()
     right = op.right.to_expr()
@@ -639,12 +639,10 @@ def _dedup_join_columns(expr, suffixes: tuple[str, str]):
     if not overlap:
         return expr
 
-    left_suffix, right_suffix = suffixes
-
     # Rename columns in the left table that overlap, unless they're known to be
     # equal to a column in the right
     left_projections = [
-        left[column].name(f"{column}{left_suffix}")
+        left[column].name(lname.format(name=column) if lname else column)
         if column in overlap and column not in equal
         else left[column]
         for column in left.columns
@@ -653,7 +651,7 @@ def _dedup_join_columns(expr, suffixes: tuple[str, str]):
     # Rename columns in the right table that overlap, dropping any columns that
     # are known to be equal to those in the left table
     right_projections = [
-        right[column].name(f"{column}{right_suffix}")
+        right[column].name(rname.format(name=column) if rname else column)
         if column in overlap
         else right[column]
         for column in right.columns
diff --git a/ibis/expr/types/relations.py b/ibis/expr/types/relations.py
index 71a227a522fb..a8c61dc788c9 100644
--- a/ibis/expr/types/relations.py
+++ b/ibis/expr/types/relations.py
@@ -6,7 +6,6 @@
 import itertools
 import operator
 import re
-import warnings
 from keyword import iskeyword
 from typing import TYPE_CHECKING, Callable, Iterable, Literal, Mapping, Sequence
 
@@ -70,7 +69,9 @@ def f(  # noqa: D417
         | Sequence[
             str | tuple[str | ir.Column, str | ir.Column] | ir.BooleanValue
         ] = (),
-        suffixes: tuple[str, str] = ("_x", "_y"),
+        *,
+        lname: str = "",
+        rname: str = "{name}_right",
     ) -> Table:
         """Perform a join between two tables.
 
@@ -80,16 +81,19 @@ def f(  # noqa: D417
             Right table to join
         predicates
             Boolean or column names to join on
-        suffixes
-            Left and right suffixes that will be used to rename overlapping
-            columns.
+        lname
+            A format string to use to rename overlapping columns in the left
+            table (e.g. ``"left_{name}"``).
+        rname
+            A format string to use to rename overlapping columns in the right
+            table (e.g. ``"right_{name}"``).
 
         Returns
         -------
         Table
             Joined table
         """
-        return self.join(right, predicates, how=how, suffixes=suffixes)
+        return self.join(right, predicates, how=how, lname=lname, rname=rname)
 
     f.__name__ = name
     return f
@@ -2366,7 +2370,8 @@ def join(
             'left_semi',
         ] = 'inner',
         *,
-        suffixes: tuple[str, str] = ("_x", "_y"),
+        lname: str = "",
+        rname: str = "{name}_right",
     ) -> Table:
         """Perform a join between two tables.
 
@@ -2380,9 +2385,12 @@ def join(
             Boolean or column names to join on
         how
             Join method
-        suffixes
-            Left and right suffixes that will be used to rename overlapping
-            columns.
+        lname
+            A format string to use to rename overlapping columns in the left
+            table (e.g. ``"left_{name}"``).
+        rname
+            A format string to use to rename overlapping columns in the right
+            table (e.g. ``"right_{name}"``).
 
         Examples
         --------
@@ -2484,7 +2492,7 @@ def join(
         if how in ("semi", "anti"):
             return expr
 
-        return ops.relations._dedup_join_columns(expr, suffixes=suffixes)
+        return ops.relations._dedup_join_columns(expr, lname=lname, rname=rname)
 
     def asof_join(
         left: Table,
@@ -2493,7 +2501,8 @@ def asof_join(
         by: str | ir.Column | Sequence[str | ir.Column] = (),
         tolerance: str | ir.IntervalScalar | None = None,
         *,
-        suffixes: tuple[str, str] = ("_x", "_y"),
+        lname: str = "",
+        rname: str = "{name}_right",
     ) -> Table:
         """Perform an "as-of" join between `left` and `right`.
 
@@ -2514,9 +2523,12 @@ def asof_join(
             column to group by before joining
         tolerance
             Amount of time to look behind when joining
-        suffixes
-            Left and right suffixes that will be used to rename overlapping
-            columns.
+        lname
+            A format string to use to rename overlapping columns in the left
+            table (e.g. ``"left_{name}"``).
+        rname
+            A format string to use to rename overlapping columns in the right
+            table (e.g. ``"right_{name}"``).
 
         Returns
         -------
@@ -2530,13 +2542,14 @@ def asof_join(
             by=by,
             tolerance=tolerance,
         )
-        return ops.relations._dedup_join_columns(op.to_expr(), suffixes=suffixes)
+        return ops.relations._dedup_join_columns(op.to_expr(), lname=lname, rname=rname)
 
     def cross_join(
         left: Table,
         right: Table,
         *rest: Table,
-        suffixes: tuple[str, str] = ("_x", "_y"),
+        lname: str = "",
+        rname: str = "{name}_right",
     ) -> Table:
         """Compute the cross join of a sequence of tables.
 
@@ -2548,9 +2561,12 @@ def cross_join(
             Right table
         rest
             Additional tables to cross join
-        suffixes
-            Left and right suffixes that will be used to rename overlapping
-            columns.
+        lname
+            A format string to use to rename overlapping columns in the left
+            table (e.g. ``"left_{name}"``).
+        rname
+            A format string to use to rename overlapping columns in the right
+            table (e.g. ``"right_{name}"``).
 
         Returns
         -------
@@ -2567,37 +2583,36 @@ def cross_join(
         >>> agg = t.drop("year").agg(s.across(s.numeric(), _.mean()))
         >>> expr = t.cross_join(agg)
         >>> expr
-        ┏━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━┓
-        ┃ species ┃ island    ┃ bill_length_mm_x ┃ bill_depth_mm_x ┃ … ┃
-        ┡━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━┩
-        │ string  │ string    │ float64          │ float64         │ … │
-        ├─────────┼───────────┼──────────────────┼─────────────────┼───┤
-        │ Adelie  │ Torgersen │             39.1 │            18.7 │ … │
-        │ Adelie  │ Torgersen │             39.5 │            17.4 │ … │
-        │ Adelie  │ Torgersen │             40.3 │            18.0 │ … │
-        │ Adelie  │ Torgersen │              nan │             nan │ … │
-        │ Adelie  │ Torgersen │             36.7 │            19.3 │ … │
-        │ Adelie  │ Torgersen │             39.3 │            20.6 │ … │
-        │ Adelie  │ Torgersen │             38.9 │            17.8 │ … │
-        │ Adelie  │ Torgersen │             39.2 │            19.6 │ … │
-        │ Adelie  │ Torgersen │             34.1 │            18.1 │ … │
-        │ Adelie  │ Torgersen │             42.0 │            20.2 │ … │
-        │ …       │ …         │                … │               … │ … │
-        └─────────┴───────────┴──────────────────┴─────────────────┴───┘
-        >>> from pprint import pprint
-        >>> pprint(expr.columns)
+        ┏━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━┓
+        ┃ species ┃ island    ┃ bill_length_mm ┃ bill_depth_mm ┃ flipper_length_mm ┃ … ┃
+        ┡━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━┩
+        │ string  │ string    │ float64        │ float64       │ int64             │ … │
+        ├─────────┼───────────┼────────────────┼───────────────┼───────────────────┼───┤
+        │ Adelie  │ Torgersen │           39.1 │          18.7 │               181 │ … │
+        │ Adelie  │ Torgersen │           39.5 │          17.4 │               186 │ … │
+        │ Adelie  │ Torgersen │           40.3 │          18.0 │               195 │ … │
+        │ Adelie  │ Torgersen │            nan │           nan │                 ∅ │ … │
+        │ Adelie  │ Torgersen │           36.7 │          19.3 │               193 │ … │
+        │ Adelie  │ Torgersen │           39.3 │          20.6 │               190 │ … │
+        │ Adelie  │ Torgersen │           38.9 │          17.8 │               181 │ … │
+        │ Adelie  │ Torgersen │           39.2 │          19.6 │               195 │ … │
+        │ Adelie  │ Torgersen │           34.1 │          18.1 │               193 │ … │
+        │ Adelie  │ Torgersen │           42.0 │          20.2 │               190 │ … │
+        │ …       │ …         │              … │             … │                 … │ … │
+        └─────────┴───────────┴────────────────┴───────────────┴───────────────────┴───┘
+        >>> expr.columns
         ['species',
          'island',
-         'bill_length_mm_x',
-         'bill_depth_mm_x',
-         'flipper_length_mm_x',
-         'body_mass_g_x',
+         'bill_length_mm',
+         'bill_depth_mm',
+         'flipper_length_mm',
+         'body_mass_g',
          'sex',
          'year',
-         'bill_length_mm_y',
-         'bill_depth_mm_y',
-         'flipper_length_mm_y',
-         'body_mass_g_y']
+         'bill_length_mm_right',
+         'bill_depth_mm_right',
+         'flipper_length_mm_right',
+         'body_mass_g_right']
         >>> expr.count()
         344
         >>> t.count()
@@ -2608,7 +2623,7 @@ def cross_join(
             functools.reduce(Table.cross_join, rest, right),
             [],
         )
-        return ops.relations._dedup_join_columns(op.to_expr(), suffixes=suffixes)
+        return ops.relations._dedup_join_columns(op.to_expr(), lname=lname, rname=rname)
 
     inner_join = _regular_join_method("inner_join", "inner")
     left_join = _regular_join_method("left_join", "left")
diff --git a/ibis/tests/expr/test_struct.py b/ibis/tests/expr/test_struct.py
index cce3b9c1897f..56ffe7e65b5c 100644
--- a/ibis/tests/expr/test_struct.py
+++ b/ibis/tests/expr/test_struct.py
@@ -68,15 +68,15 @@ def test_unpack_from_table(t):
 
 def test_lift_join(t, s):
     join = t.join(s, t.d == s.a.g)
-    result = join.a_y.lift()
-    expected = join[_.a_y.f, _.a_y.g]
+    result = join.a_right.lift()
+    expected = join[_.a_right.f, _.a_right.g]
     assert result.equals(expected)
 
 
 def test_unpack_join_from_table(t, s):
     join = t.join(s, t.d == s.a.g)
-    result = join.unpack("a_y")
-    expected = join[_.a_x, _.d, _.a_y.f, _.a_y.g]
+    result = join.unpack("a_right")
+    expected = join[_.a, _.d, _.a_right.f, _.a_right.g]
     assert result.equals(expected)
 
 
diff --git a/ibis/tests/expr/test_table.py b/ibis/tests/expr/test_table.py
index f63c513fb92b..7029a074c51c 100644
--- a/ibis/tests/expr/test_table.py
+++ b/ibis/tests/expr/test_table.py
@@ -794,9 +794,9 @@ def test_asof_join():
     joined = api.asof_join(left, right, 'time')
 
     assert joined.columns == [
-        "time_x",
+        "time",
         "value",
-        "time_y",
+        "time_right",
         "value2",
     ]
     pred = joined.op().table.predicates[0]
@@ -808,11 +808,11 @@ def test_asof_join_with_by():
     right = ibis.table([('time', 'int32'), ('key', 'int32'), ('value2', 'double')])
     joined = api.asof_join(left, right, 'time', by='key')
     assert joined.columns == [
-        "time_x",
-        "key_x",
+        "time",
+        "key",
         "value",
-        "time_y",
-        "key_y",
+        "time_right",
+        "key_right",
         "value2",
     ]
     by = joined.op().table.by[0]
@@ -931,8 +931,8 @@ def test_self_join_no_view_convenience(table):
     # column names to join on rather than referentially-valid expressions
 
     result = table.join(table, [('g', 'g')])
-    expected_cols = [f"{c}_x" if c != 'g' else 'g' for c in table.columns]
-    expected_cols.extend(f"{c}_y" for c in table.columns if c != 'g')
+    expected_cols = list(table.columns)
+    expected_cols.extend(f"{c}_right" for c in table.columns if c != 'g')
     assert result.columns == expected_cols
 
 
@@ -1027,7 +1027,7 @@ def test_inner_join_overlapping_column_names():
     joined = t1.join(t2, 'foo')
     expected = t1.join(t2, t1.foo == t2.foo)
     assert_equal(joined, expected)
-    assert joined.columns == ["foo", "bar_x", "value1", "bar_y", "value2"]
+    assert joined.columns == ["foo", "bar", "value1", "bar_right", "value2"]
 
     joined = t1.join(t2, ['foo', 'bar'])
     expected = t1.join(t2, [t1.foo == t2.foo, t1.bar == t2.bar])
@@ -1036,11 +1036,25 @@ def test_inner_join_overlapping_column_names():
 
     # Equality predicates don't have same name, need to rename
     joined = t1.join(t2, t1.foo == t2.bar)
-    assert joined.columns == ["foo_x", "bar_x", "value1", "foo_y", "bar_y", "value2"]
+    assert joined.columns == [
+        "foo",
+        "bar",
+        "value1",
+        "foo_right",
+        "bar_right",
+        "value2",
+    ]
 
     # Not all predicates are equality, still need to rename
     joined = t1.join(t2, ["foo", t1.value1 < t2.value2])
-    assert joined.columns == ["foo_x", "bar_x", "value1", "foo_y", "bar_y", "value2"]
+    assert joined.columns == [
+        "foo",
+        "bar",
+        "value1",
+        "foo_right",
+        "bar_right",
+        "value2",
+    ]
 
 
 def test_join_key_alternatives(con):
@@ -1542,10 +1556,10 @@ def test_merge_as_of_allows_overlapping_columns():
     merged = ibis.api.asof_join(signal_one, signal_two, 'timestamp_received')
     assert merged.columns == [
         'current',
-        'timestamp_received_x',
+        'timestamp_received',
         'signal_one',
         'voltage',
-        'timestamp_received_y',
+        'timestamp_received_right',
         'signal_two',
     ]
 
@@ -1572,13 +1586,22 @@ def test_filter_applied_to_join():
 
 
 @pytest.mark.parametrize("how", ["inner", "left", "outer", "right"])
-def test_join_suffixes(how):
+def test_join_lname_rname(how):
     left = ibis.table([("id", "int64"), ("first_name", "string")])
     right = ibis.table([("id", "int64"), ("last_name", "string")])
-
     method = getattr(left, f"{how}_join")
-    expr = method(right, suffixes=("_left", "_right"))
-    assert expr.columns == ["id_left", "first_name", "id_right", "last_name"]
+
+    expr = method(right)
+    assert expr.columns == ["id", "first_name", "id_right", "last_name"]
+
+    expr = method(right, rname="right_{name}")
+    assert expr.columns == ["id", "first_name", "right_id", "last_name"]
+
+    expr = method(right, lname="left_{name}", rname="")
+    assert expr.columns == ["left_id", "first_name", "id", "last_name"]
+
+    expr = method(right, rname="right_{name}", lname="left_{name}")
+    assert expr.columns == ["left_id", "first_name", "right_id", "last_name"]
 
 
 def test_drop():
diff --git a/ibis/tests/sql/snapshots/test_select_sql/test_limit_with_self_join/decompiled.py b/ibis/tests/sql/snapshots/test_select_sql/test_limit_with_self_join/decompiled.py
index 41c57a5dbf7a..1acf1eee15a7 100644
--- a/ibis/tests/sql/snapshots/test_select_sql/test_limit_with_self_join/decompiled.py
+++ b/ibis/tests/sql/snapshots/test_select_sql/test_limit_with_self_join/decompiled.py
@@ -28,32 +28,32 @@
     )
     .select(
         [
-            functional_alltypes.id.name("id_x"),
-            functional_alltypes.bool_col.name("bool_col_x"),
-            functional_alltypes.tinyint_col.name("tinyint_col_x"),
-            functional_alltypes.smallint_col.name("smallint_col_x"),
-            functional_alltypes.int_col.name("int_col_x"),
-            functional_alltypes.bigint_col.name("bigint_col_x"),
-            functional_alltypes.float_col.name("float_col_x"),
-            functional_alltypes.double_col.name("double_col_x"),
-            functional_alltypes.date_string_col.name("date_string_col_x"),
-            functional_alltypes.string_col.name("string_col_x"),
-            functional_alltypes.timestamp_col.name("timestamp_col_x"),
-            functional_alltypes.year.name("year_x"),
-            functional_alltypes.month.name("month_x"),
-            selfreference.id.name("id_y"),
-            selfreference.bool_col.name("bool_col_y"),
-            selfreference.tinyint_col.name("tinyint_col_y"),
-            selfreference.smallint_col.name("smallint_col_y"),
-            selfreference.int_col.name("int_col_y"),
-            selfreference.bigint_col.name("bigint_col_y"),
-            selfreference.float_col.name("float_col_y"),
-            selfreference.double_col.name("double_col_y"),
-            selfreference.date_string_col.name("date_string_col_y"),
-            selfreference.string_col.name("string_col_y"),
-            selfreference.timestamp_col.name("timestamp_col_y"),
-            selfreference.year.name("year_y"),
-            selfreference.month.name("month_y"),
+            functional_alltypes.id,
+            functional_alltypes.bool_col,
+            functional_alltypes.tinyint_col,
+            functional_alltypes.smallint_col,
+            functional_alltypes.int_col,
+            functional_alltypes.bigint_col,
+            functional_alltypes.float_col,
+            functional_alltypes.double_col,
+            functional_alltypes.date_string_col,
+            functional_alltypes.string_col,
+            functional_alltypes.timestamp_col,
+            functional_alltypes.year,
+            functional_alltypes.month,
+            selfreference.id.name("id_right"),
+            selfreference.bool_col.name("bool_col_right"),
+            selfreference.tinyint_col.name("tinyint_col_right"),
+            selfreference.smallint_col.name("smallint_col_right"),
+            selfreference.int_col.name("int_col_right"),
+            selfreference.bigint_col.name("bigint_col_right"),
+            selfreference.float_col.name("float_col_right"),
+            selfreference.double_col.name("double_col_right"),
+            selfreference.date_string_col.name("date_string_col_right"),
+            selfreference.string_col.name("string_col_right"),
+            selfreference.timestamp_col.name("timestamp_col_right"),
+            selfreference.year.name("year_right"),
+            selfreference.month.name("month_right"),
         ]
     )
     .count()
diff --git a/ibis/tests/sql/snapshots/test_select_sql/test_limit_with_self_join/out.sql b/ibis/tests/sql/snapshots/test_select_sql/test_limit_with_self_join/out.sql
index dda04195721c..03e07fe224f3 100644
--- a/ibis/tests/sql/snapshots/test_select_sql/test_limit_with_self_join/out.sql
+++ b/ibis/tests/sql/snapshots/test_select_sql/test_limit_with_self_join/out.sql
@@ -1,25 +1,20 @@
 SELECT count(1) AS `count`
 FROM (
-  SELECT t1.`id` AS `id_x`, t1.`bool_col` AS `bool_col_x`,
-         t1.`tinyint_col` AS `tinyint_col_x`,
-         t1.`smallint_col` AS `smallint_col_x`,
-         t1.`int_col` AS `int_col_x`, t1.`bigint_col` AS `bigint_col_x`,
-         t1.`float_col` AS `float_col_x`,
-         t1.`double_col` AS `double_col_x`,
-         t1.`date_string_col` AS `date_string_col_x`,
-         t1.`string_col` AS `string_col_x`,
-         t1.`timestamp_col` AS `timestamp_col_x`, t1.`year` AS `year_x`,
-         t1.`month` AS `month_x`, t2.`id` AS `id_y`,
-         t2.`bool_col` AS `bool_col_y`,
-         t2.`tinyint_col` AS `tinyint_col_y`,
-         t2.`smallint_col` AS `smallint_col_y`,
-         t2.`int_col` AS `int_col_y`, t2.`bigint_col` AS `bigint_col_y`,
-         t2.`float_col` AS `float_col_y`,
-         t2.`double_col` AS `double_col_y`,
-         t2.`date_string_col` AS `date_string_col_y`,
-         t2.`string_col` AS `string_col_y`,
-         t2.`timestamp_col` AS `timestamp_col_y`, t2.`year` AS `year_y`,
-         t2.`month` AS `month_y`
+  SELECT t1.`id`, t1.`bool_col`, t1.`tinyint_col`, t1.`smallint_col`,
+         t1.`int_col`, t1.`bigint_col`, t1.`float_col`, t1.`double_col`,
+         t1.`date_string_col`, t1.`string_col`, t1.`timestamp_col`,
+         t1.`year`, t1.`month`, t2.`id` AS `id_right`,
+         t2.`bool_col` AS `bool_col_right`,
+         t2.`tinyint_col` AS `tinyint_col_right`,
+         t2.`smallint_col` AS `smallint_col_right`,
+         t2.`int_col` AS `int_col_right`,
+         t2.`bigint_col` AS `bigint_col_right`,
+         t2.`float_col` AS `float_col_right`,
+         t2.`double_col` AS `double_col_right`,
+         t2.`date_string_col` AS `date_string_col_right`,
+         t2.`string_col` AS `string_col_right`,
+         t2.`timestamp_col` AS `timestamp_col_right`,
+         t2.`year` AS `year_right`, t2.`month` AS `month_right`
   FROM functional_alltypes t1
     INNER JOIN functional_alltypes t2
       ON t1.`tinyint_col` < extract(t2.`timestamp_col`, 'minute')
diff --git a/ibis/tests/sql/snapshots/test_select_sql/test_multiple_joins/decompiled.py b/ibis/tests/sql/snapshots/test_select_sql/test_multiple_joins/decompiled.py
index 11ab2633cb61..da8275915ad4 100644
--- a/ibis/tests/sql/snapshots/test_select_sql/test_multiple_joins/decompiled.py
+++ b/ibis/tests/sql/snapshots/test_select_sql/test_multiple_joins/decompiled.py
@@ -16,9 +16,9 @@
         [
             star1.c,
             star1.f,
-            star1.foo_id.name("foo_id_x"),
+            star1.foo_id,
             star1.bar_id,
-            star2.foo_id.name("foo_id_y"),
+            star2.foo_id.name("foo_id_right"),
             star2.value1,
             star2.value3,
         ]
diff --git a/ibis/tests/sql/snapshots/test_select_sql/test_multiple_joins/out.sql b/ibis/tests/sql/snapshots/test_select_sql/test_multiple_joins/out.sql
index 51205b83304d..2e4276f4463e 100644
--- a/ibis/tests/sql/snapshots/test_select_sql/test_multiple_joins/out.sql
+++ b/ibis/tests/sql/snapshots/test_select_sql/test_multiple_joins/out.sql
@@ -1,7 +1,7 @@
 SELECT *, `value1`, t1.`value2`
 FROM (
-  SELECT t2.`c`, t2.`f`, t2.`foo_id` AS `foo_id_x`, t2.`bar_id`,
-         t3.`foo_id` AS `foo_id_y`, t3.`value1`, t3.`value3`
+  SELECT t2.`c`, t2.`f`, t2.`foo_id`, t2.`bar_id`,
+         t3.`foo_id` AS `foo_id_right`, t3.`value1`, t3.`value3`
   FROM star1 t2
     LEFT OUTER JOIN star2 t3
       ON t2.`foo_id` = t3.`foo_id`
diff --git a/ibis/tests/sql/snapshots/test_select_sql/test_subquery_used_for_self_join/out.sql b/ibis/tests/sql/snapshots/test_select_sql/test_subquery_used_for_self_join/out.sql
index 2db1cf1b6332..a59687794a8a 100644
--- a/ibis/tests/sql/snapshots/test_select_sql/test_subquery_used_for_self_join/out.sql
+++ b/ibis/tests/sql/snapshots/test_select_sql/test_subquery_used_for_self_join/out.sql
@@ -5,9 +5,9 @@ WITH t0 AS (
 )
 SELECT t0.`g`, max(t0.`total` - `total`) AS `metric`
 FROM (
-  SELECT t0.`g` AS `g_x`, t0.`a` AS `a_x`, t0.`b` AS `b_x`,
-         t0.`total` AS `total_x`, t2.`g` AS `g_y`, t2.`a` AS `a_y`,
-         t2.`b` AS `b_y`, t2.`total` AS `total_y`
+  SELECT t0.`g`, t0.`a`, t0.`b`, t0.`total`, t2.`g` AS `g_right`,
+         t2.`a` AS `a_right`, t2.`b` AS `b_right`,
+         t2.`total` AS `total_right`
   FROM t0
     INNER JOIN t0 t2
       ON t0.`a` = t2.`b`
diff --git a/ibis/tests/sql/snapshots/test_sqlalchemy/test_no_cross_join/out.sql b/ibis/tests/sql/snapshots/test_sqlalchemy/test_no_cross_join/out.sql
index b2e37eefab1c..693af5a03d6c 100644
--- a/ibis/tests/sql/snapshots/test_sqlalchemy/test_no_cross_join/out.sql
+++ b/ibis/tests/sql/snapshots/test_sqlalchemy/test_no_cross_join/out.sql
@@ -1,12 +1,12 @@
 SELECT
-  t0.id AS id_x,
+  t0.id,
   t0.personal,
   t0.family,
   t1.taken,
   t1.person,
   t1.quant,
   t1.reading,
-  t2.id AS id_y,
+  t2.id AS id_right,
   t2.site,
   t2.dated
 FROM person AS t0