Skip to content
This repository has been archived by the owner on Nov 23, 2024. It is now read-only.

Commit

Permalink
docs: set log level to error
Browse files Browse the repository at this point in the history
  • Loading branch information
lars-reimann committed Mar 17, 2023
1 parent 5c90612 commit afdcabe
Show file tree
Hide file tree
Showing 3 changed files with 41 additions and 102 deletions.
9 changes: 9 additions & 0 deletions docs/examples/disable_warnings.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,9 @@
import logging
import warnings


def disable_warnings() -> None:
"""Disable output of warnings."""

logging.root.setLevel(logging.ERROR)
warnings.filterwarnings("ignore")
67 changes: 16 additions & 51 deletions docs/examples/house_sales.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -8,10 +8,7 @@
"The dataset contains house sale prices for King County, USA between May 2014 and May 2015. It is well suited to practice regression techniques."
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
"collapsed": false
}
},
{
Expand All @@ -20,19 +17,17 @@
"## Column descriptions"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
"collapsed": false
}
},
{
"cell_type": "code",
"execution_count": null,
"outputs": [],
"source": [
"import warnings\n",
"warnings.filterwarnings(\"ignore\")\n",
"from disable_warnings import disable_warnings\n",
"\n",
"disable_warnings()\n",
"\n",
"from safeds_examples.tabular import describe_house_sales_columns\n",
"from display_column_description import display_column_descriptions\n",
Expand All @@ -41,10 +36,7 @@
"display_column_descriptions(house_sales_description)"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
"collapsed": false
}
},
{
Expand All @@ -53,10 +45,7 @@
"## Sample"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
"collapsed": false
}
},
{
Expand All @@ -70,10 +59,7 @@
"house_sales.slice(end=10)"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
"collapsed": false
}
},
{
Expand All @@ -82,10 +68,7 @@
"## Schema"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
"collapsed": false
}
},
{
Expand All @@ -96,10 +79,7 @@
"house_sales.schema"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
"collapsed": false
}
},
{
Expand All @@ -108,10 +88,7 @@
"## Statistics"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
"collapsed": false
}
},
{
Expand All @@ -122,10 +99,7 @@
"house_sales.summary()"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
"collapsed": false
}
},
{
Expand All @@ -134,10 +108,7 @@
"## Correlation heatmap"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
"collapsed": false
}
},
{
Expand All @@ -159,10 +130,7 @@
"correlation_heatmap(house_sales_correlation)"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
"collapsed": false
}
},
{
Expand All @@ -175,10 +143,7 @@
"Column descriptions are based on [this Kaggle discussion](https://www.kaggle.com/datasets/harlfoxem/housesalesprediction/discussion/207885).\n"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
"collapsed": false
}
}
],
Expand All @@ -203,4 +168,4 @@
},
"nbformat": 4,
"nbformat_minor": 0
}
}
67 changes: 16 additions & 51 deletions docs/examples/titanic.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -8,10 +8,7 @@
"The dataset contains information about the passengers of the Titanic and whether they survived the accident. It is well suited to practice classification techniques."
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
"collapsed": false
}
},
{
Expand All @@ -20,19 +17,17 @@
"## Column descriptions"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
"collapsed": false
}
},
{
"cell_type": "code",
"execution_count": null,
"outputs": [],
"source": [
"import warnings\n",
"warnings.filterwarnings(\"ignore\")\n",
"from disable_warnings import disable_warnings\n",
"\n",
"disable_warnings()\n",
"\n",
"from safeds_examples.tabular import describe_titanic_columns\n",
"from display_column_description import display_column_descriptions\n",
Expand All @@ -41,10 +36,7 @@
"display_column_descriptions(titanic_description)"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
"collapsed": false
}
},
{
Expand All @@ -53,10 +45,7 @@
"## Sample"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
"collapsed": false
}
},
{
Expand All @@ -70,10 +59,7 @@
"titanic.slice(end=10)"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
"collapsed": false
}
},
{
Expand All @@ -82,10 +68,7 @@
"## Schema"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
"collapsed": false
}
},
{
Expand All @@ -96,10 +79,7 @@
"titanic.schema"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
"collapsed": false
}
},
{
Expand All @@ -108,10 +88,7 @@
"## Statistics"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
"collapsed": false
}
},
{
Expand All @@ -122,10 +99,7 @@
"titanic.summary()"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
"collapsed": false
}
},
{
Expand All @@ -134,10 +108,7 @@
"## Correlation heatmap"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
"collapsed": false
}
},
{
Expand All @@ -154,10 +125,7 @@
"correlation_heatmap(titanic_correlation)"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
"collapsed": false
}
},
{
Expand All @@ -172,10 +140,7 @@
"> Thomas Cason of UVa has greatly updated and improved the titanic data frame using the Encyclopedia Titanica and created the dataset here. Some duplicate passengers have been dropped, many errors corrected, many missing ages filled in, and new variables created.\n"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
"collapsed": false
}
}
],
Expand All @@ -200,4 +165,4 @@
},
"nbformat": 4,
"nbformat_minor": 0
}
}

0 comments on commit afdcabe

Please sign in to comment.