diff --git a/CHANGELOG.md b/CHANGELOG.md
index d6b656d456..625c7cb83a 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -11,6 +11,7 @@ This project adheres to [Semantic Versioning](http://semver.org/).
 - Made the Plotly Express `trendline` argument more robust and made it work with datetime `x` values ([#2554](https://github.com/plotly/plotly.py/pull/2554))
 - Plotly Express wide mode now accepts mixed integer and float columns ([#2598](https://github.com/plotly/plotly.py/pull/2598))
 - Plotly Express `range_(x|y)` should not impact the unlinked range of marginal subplots ([#2600](https://github.com/plotly/plotly.py/pull/2600))
+- `px.line` now sets `line_group=<variable>` in wide mode by default ([#2599](https://github.com/plotly/plotly.py/pull/2599))
 
 ## [4.8.1] - 2020-05-28
 
diff --git a/packages/python/plotly/plotly/express/_core.py b/packages/python/plotly/plotly/express/_core.py
index 53688b1050..18ea28d2ab 100644
--- a/packages/python/plotly/plotly/express/_core.py
+++ b/packages/python/plotly/plotly/express/_core.py
@@ -1422,6 +1422,8 @@ def build_dataframe(args, constructor):
             args["y" if orient_v else "x"] = value_name
             if constructor != go.Histogram2d:
                 args["color"] = args["color"] or var_name
+            if "line_group" in args:
+                args["line_group"] = args["line_group"] or var_name
         if constructor == go.Bar:
             if _is_continuous(df_output, value_name):
                 args["x" if orient_v else "y"] = wide_cross_name
diff --git a/packages/python/plotly/plotly/tests/test_core/test_px/test_px_wide.py b/packages/python/plotly/plotly/tests/test_core/test_px/test_px_wide.py
index 87aff6fac2..ebd650371f 100644
--- a/packages/python/plotly/plotly/tests/test_core/test_px/test_px_wide.py
+++ b/packages/python/plotly/plotly/tests/test_core/test_px/test_px_wide.py
@@ -748,3 +748,20 @@ def test_mixed_number_input():
     df = pd.DataFrame(dict(a=[1, 2], b=[1.1, 2.1]))
     fig = px.line(df)
     assert len(fig.data) == 2
+
+
+def test_line_group():
+    df = pd.DataFrame(
+        data={
+            "who": ["a", "a", "b", "b"],
+            "x": [0, 1, 0, 1],
+            "score": [1.0, 2, 3, 4],
+            "miss": [3.2, 2.5, 1.3, 1.5],
+        }
+    )
+    fig = px.line(df, x="x", y=["miss", "score"])
+    assert len(fig.data) == 2
+    fig = px.line(df, x="x", y=["miss", "score"], color="who")
+    assert len(fig.data) == 4
+    fig = px.scatter(df, x="x", y=["miss", "score"], color="who")
+    assert len(fig.data) == 2