blacken

Author: jonmmease

Diff for: packages/python/plotly/_plotly_utils/tests/validators/test_pandas_series_input.py

@@ -173,7 +173,9 @@ def test_color_validator_categorical(color_validator, color_categorical_pandas):
     np.testing.assert_array_equal(res, np.array(color_categorical_pandas))
 
 
-def test_data_array_validator_dates_series(data_array_validator, datetime_pandas, dates_array):
+def test_data_array_validator_dates_series(
+    data_array_validator, datetime_pandas, dates_array
+):
 
     res = data_array_validator.validate_coerce(datetime_pandas)
 
@@ -187,7 +189,9 @@ def test_data_array_validator_dates_series(data_array_validator, datetime_pandas
     np.testing.assert_array_equal(res, dates_array)
 
 
-def test_data_array_validator_dates_dataframe(data_array_validator, datetime_pandas, dates_array):
+def test_data_array_validator_dates_dataframe(
+    data_array_validator, datetime_pandas, dates_array
+):
 
     df = pd.DataFrame({"d": datetime_pandas})
     res = data_array_validator.validate_coerce(df)

Diff for: packages/python/plotly/plotly/tests/test_optional/test_utils/test_utils.py

@@ -274,13 +274,16 @@ def test_encode_customdata_datetime_series(self):
         )
 
     def test_encode_customdata_datetime_homogenous_dataframe(self):
-        df = pd.DataFrame(dict(
-            t1=pd.to_datetime(["2010-01-01", "2010-01-02"]),
-            t2=pd.to_datetime(["2011-01-01", "2011-01-02"]),
-        ))
+        df = pd.DataFrame(
+            dict(
+                t1=pd.to_datetime(["2010-01-01", "2010-01-02"]),
+                t2=pd.to_datetime(["2011-01-01", "2011-01-02"]),
+            )
+        )
         # 2D customdata
         fig = Figure(
-            Scatter(x=df["t1"], customdata=df[["t1", "t2"]]), layout=dict(template="none")
+            Scatter(x=df["t1"], customdata=df[["t1", "t2"]]),
+            layout=dict(template="none"),
         )
         fig_json = _json.dumps(
             fig, cls=utils.PlotlyJSONEncoder, separators=(",", ":"), sort_keys=True
@@ -294,10 +297,9 @@ def test_encode_customdata_datetime_homogenous_dataframe(self):
         )
 
     def test_encode_customdata_datetime_inhomogenous_dataframe(self):
-        df = pd.DataFrame(dict(
-            t=pd.to_datetime(["2010-01-01", "2010-01-02"]),
-            v=np.arange(2),
-        ))
+        df = pd.DataFrame(
+            dict(t=pd.to_datetime(["2010-01-01", "2010-01-02"]), v=np.arange(2),)
+        )
         # 2D customdata
         fig = Figure(
             Scatter(x=df["t"], customdata=df[["t", "v"]]), layout=dict(template="none")
@@ -337,8 +339,8 @@ def test_numpy_datetime64(self):
         j1 = _json.dumps(a, cls=utils.PlotlyJSONEncoder)
         assert (
             j1 == '["2011-07-11T00:00:00.000000000", '
-                  '"2011-07-12T00:00:00.000000000", '
-                  '"2011-07-13T00:00:00.000000000"]'
+            '"2011-07-12T00:00:00.000000000", '
+            '"2011-07-13T00:00:00.000000000"]'
         )
 
     def test_pil_image_encoding(self):