blackify everything

Tests/test_GeoPandasBokeh.py

@@ -8,17 +8,15 @@
 import pandas_bokeh
 
 directory = os.path.dirname(__file__)
-test_sets_directory = os.path.join(
-    os.path.dirname(directory), "docs", "Testdata"
-)
+test_sets_directory = os.path.join(os.path.dirname(directory), "docs", "Testdata")
 os.makedirs(os.path.join(directory, "Plots"), exist_ok=True)
 
+
 @pytest.fixture
 def df_states():
 
-    return gpd.read_file(
-        os.path.join(test_sets_directory, "states", "states.geojson")
-    )
+    return gpd.read_file(os.path.join(test_sets_directory, "states", "states.geojson"))
+
 
 @pytest.fixture
 def df_cities():
@@ -31,14 +29,13 @@ def df_cities():
         )
     )
 
+
 def test_geolayers_simple(df_states):
     "Tests for simple geoplot"
 
     figure = df_states.plot_bokeh(simplify_shapes=10000, show_figure=False)
 
-    with open(
-        os.path.join(directory, "Plots", "Geolayers_Simple.html"), "w"
-    ) as f:
+    with open(os.path.join(directory, "Plots", "Geolayers_Simple.html"), "w") as f:
         f.write(pandas_bokeh.embedded_html(figure))
 
     assert True
@@ -108,11 +105,12 @@ def test_geolayers_slider(df_states, df_cities):
     ) as f:
         f.write(html_multilayer_slider)
 
+
 def test_hole_geplot():
     "Tests for (multi-)polygones with holes."
 
     df = gpd.GeoDataFrame.from_file(
-        os.path.join(test_sets_directory, 'hole_shapes', 'hole_shapes.geojson')
+        os.path.join(test_sets_directory, "hole_shapes", "hole_shapes.geojson")
     )
     figure = df.plot_bokeh(show_figure=False)
 
@@ -122,4 +120,3 @@ def test_hole_geplot():
         f.write(pandas_bokeh.embedded_html(figure))
 
     assert True
-

Tests/test_PySpark.py

@@ -7,7 +7,7 @@
 import pytest
 
 # only run tests for Python <= 3.7 due to pyspark support:
-if sys.version_info[1] < 8: 
+if sys.version_info[1] < 8:
 
     directory = os.path.dirname(__file__)
     os.makedirs(os.path.join(directory, "Plots"), exist_ok=True)
@@ -16,19 +16,21 @@
     def spark():
         # Start PySpark
         from pyspark.sql import SparkSession
+
         spark = SparkSession.builder.getOrCreate()
         yield spark
         spark.stop()
 
-
     def test_basic_lineplot_pyspark(spark):
         """Test for basic lineplot with Pyspark"""
 
         # Create basic lineplot:
         np.random.seed(42)
         df = pd.DataFrame(
-            {"Google": np.random.randn(1000) + 0.2, 
-            "Apple": np.random.randn(1000) + 0.17},
+            {
+                "Google": np.random.randn(1000) + 0.2,
+                "Apple": np.random.randn(1000) + 0.17,
+            },
             index=pd.date_range("1/1/2000", periods=1000),
         )
         df.index.name = "Date"
@@ -40,7 +42,9 @@ def test_basic_lineplot_pyspark(spark):
 
         # Output plot as HTML:
         output = pandas_bokeh.row([p_basic_lineplot, p_basic_lineplot_accessor])
-        with open(os.path.join(directory, "Plots", "Basic_lineplot_PySpark.html"), "w") as f:
+        with open(
+            os.path.join(directory, "Plots", "Basic_lineplot_PySpark.html"), "w"
+        ) as f:
             f.write(pandas_bokeh.embedded_html(output))
 
-        assert True
+        assert True

docs/github-pages/replace_pictures_with_Bokeh_plots.py

@@ -34,10 +34,14 @@
 for plotname, plot in plots.items():
     print(f"Replace image {plotname}")
     if re.search(r"!\[{plotname}\]\(.+\)".format(plotname=plotname), readme):
-        to_replace = re.search(r"!\[{plotname}\]\(.+\)".format(plotname=plotname), readme).group()
+        to_replace = re.search(
+            r"!\[{plotname}\]\(.+\)".format(plotname=plotname), readme
+        ).group()
         readme = readme.replace(to_replace, f'<div align="center">\n\n{plot}\n\n</div>')
     else:
-        raise KeyError(f"No image with name '{plotname}' has been found in the README file '{readme_file}'.")
+        raise KeyError(
+            f"No image with name '{plotname}' has been found in the README file '{readme_file}'."
+        )
 
 # Replace path to remaining pictures:
 readme = readme.replace(r"![](docs/Images/Pandas-Bokeh-Logo.png)", "")

pandas_bokeh/geoplot.py

@@ -26,7 +26,7 @@
 
 
 def _get_background_tile(provider_name):
-    """Returns a Bokeh WTMS Tile Provider Source from <provider_name>. If 
+    """Returns a Bokeh WTMS Tile Provider Source from <provider_name>. If
     <provider_name is not valid, it returns False."""
 
     if provider_name not in TILE_PROVIDERS:
@@ -38,8 +38,8 @@ def _get_background_tile(provider_name):
 def _add_backgroundtile(
     p, tile_provider, tile_provider_url, tile_attribution, tile_alpha
 ):
-    """Add a background tile to the plot. Either uses predefined Tiles from Bokeh 
-    (parameter: tile_provider) or user passed a tile_provider_url of the form 
+    """Add a background tile to the plot. Either uses predefined Tiles from Bokeh
+    (parameter: tile_provider) or user passed a tile_provider_url of the form
     '<url>/{Z}/{X}/{Y}*.png' or '<url>/{Z}/{Y}/{X}*.png'."""
 
     from bokeh.models import WMTSTileSource
@@ -89,7 +89,7 @@ def _get_figure(col):
 
 
 def convert_geoDataFrame_to_patches(gdf, geometry_column):
-    """Creates from a geoDataFrame with Polygons and Multipolygons a Pandas DataFrame 
+    """Creates from a geoDataFrame with Polygons and Multipolygons a Pandas DataFrame
     with x any y columns specifying the geometry of the Polygons."""
 
     df_new = []

pandas_bokeh/plot.py

@@ -180,18 +180,18 @@ def plot(
     --------
     >>> df.plot_bokeh.line()
     >>> df.plot_bokeh.scatter(x='x',y='y')
-    
+
     These plotting methods can also be accessed by calling the accessor as a
     method with the ``kind`` argument (except of "map" plot):
     ``df.plot_bokeh(kind='line')`` is equivalent to ``df.plot_bokeh.line()``
 
     For more information about the individual plot kind implementations, have a
     look at the underlying method accessors (like df.plot_bokeh.line) or visit
-    https://github.com/PatrikHlobil/Pandas-Bokeh. 
+    https://github.com/PatrikHlobil/Pandas-Bokeh.
 
     If `sizing_mode` is not fixed (default), it will overide the set plot width or height
     depending on which axis it is scaled on.
-    
+
     """
 
     # Make a local copy of the DataFrame:
@@ -1818,7 +1818,7 @@ def line(self, x=None, y=None, **kwargs):
 
         Returns
         -------
-        
+
         Bokeh.plotting.figure or Bokeh.layouts.row
 
         Examples
@@ -1869,7 +1869,7 @@ def step(self, x=None, y=None, **kwargs):
 
         Returns
         -------
-        
+
         Bokeh.plotting.figure or Bokeh.layouts.row
 
         Examples
@@ -1920,7 +1920,7 @@ def point(self, x=None, y=None, **kwargs):
 
         Returns
         -------
-        
+
         Bokeh.plotting.figure or Bokeh.layouts.row
 
         Examples
@@ -2294,9 +2294,9 @@ def scatter(self, x, y, category=None, **kwds):
             The column name or column position to be used as vertical
             coordinates for each point.
 
-        category : str or object 
+        category : str or object
             A column name whose values will be used to color the
-            marker points according to a colormap. 
+            marker points according to a colormap.
 
         **kwds
             Keyword arguments to pass on to :meth:`pandas.DataFrame.plot_bokeh`.
@@ -2422,7 +2422,7 @@ def map(self, x, y, **kwds):
 def _initialize_rangetool(p, x_axis_type, source):
     """
     Initializes the range tool chart and slider.
-    
+
     Parameters
     ----------
     p : Bokeh.plotting.figure

setup.py

@@ -1,6 +1,7 @@
 import setuptools
 
 import pandas_bokeh
+
 version = pandas_bokeh.__version__
 
 long_description = f"""# Pandas Bokeh
@@ -67,7 +68,6 @@
 """
 
 
-
 setuptools.setup(
     name="pandas-bokeh",
     version=version,
@@ -85,9 +85,9 @@
         "Programming Language :: Python :: 3.8",
         "License :: OSI Approved :: MIT License",
         "Operating System :: OS Independent",
-        'Intended Audience :: Science/Research',
-        'Topic :: Scientific/Engineering',
-        'Topic :: Scientific/Engineering :: Visualization'
+        "Intended Audience :: Science/Research",
+        "Topic :: Scientific/Engineering",
+        "Topic :: Scientific/Engineering :: Visualization",
     ],
-    python_requires=">=3.6"
+    python_requires=">=3.6",
 )