Release 5.0.0

.github/workflows/python-publish.yml

@@ -22,7 +22,7 @@ jobs:
     - name: Set up Python
       uses: actions/setup-python@v2
       with:
-        python-version: '3.8'
+        python-version: '3.9'
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip

.github/workflows/tox.yml

@@ -8,7 +8,7 @@ jobs:
     strategy:
       max-parallel: 5
       matrix:
-        python-version: ["3.8", "3.9", "3.10"]
+        python-version: ["3.9", "3.10", "3.11"]
 
     steps:
     - uses: actions/checkout@v3

CONTRIBUTING.rst

@@ -81,8 +81,9 @@ Ready to contribute? Here's how to set up `chartify` for local development.
 
    Now you can make your changes locally.
 
-5. When you're done making changes, check that your changes pass flake8 and the tests, including testing other Python versions with tox::
+5. When you're done making changes, format using make black, check that your changes pass flake8 and the tests, including testing other Python versions with tox::
 
+    $ make black
     $ flake8 chartify tests
     $ python setup.py test or py.test
     $ tox
@@ -106,7 +107,7 @@ Before you submit a pull request, check that it meets these guidelines:
 2. If the pull request adds functionality, the docs should be updated. Put
    your new functionality into a function with a docstring, and add the
    feature to the list in README.rst.
-3. The pull request should work for Python 3.8, 3.9 and 3.10. Check
+3. The pull request should work for Python 3.9, 3.10 and 3.11. Check
    https://github.com/spotify/chartify/actions
    and make sure that the tests pass for all supported Python versions.
 

HISTORY.rst

@@ -1,6 +1,13 @@
 =======
 History
 =======
+5.0.0 (2024-10-16)
+
+* Drop support for Python 3.8
+* Add support for Python 3.11
+* Fixes bad cropping in png introduced by changes to chrome webdriver
+* Add support and recommendation to use make black for code formatting
+
 4.0.5 (2023-10-12)
 ------------------
 

Makefile

@@ -84,4 +84,7 @@ release-prod: clean ## package and upload a release
 	twine upload dist/*
 
 install-from-test-pypi:
-	pip3 install --index-url https://test.pypi.org/simple/ chartify
+	pip3 install --index-url https://test.pypi.org/simple/ chartify
+
+black:
+	black chartify tests --line-length 119

README.rst

@@ -4,8 +4,10 @@ Chartify
 |status|  |release|  |python|  |CI|
 
 .. |status| image:: https://img.shields.io/badge/Status-Beta-blue.svg
-.. |release| image:: https://img.shields.io/badge/Release-4.0.3-blue.svg
-.. |python| image:: https://img.shields.io/badge/Python-3.7-blue.svg
+.. |release| image:: https://img.shields.io/badge/Release-5.0.0-blue.svg
+.. |python| image:: https://img.shields.io/badge/Python-3.9-blue.svg
+.. |python| image:: https://img.shields.io/badge/Python-3.10-blue.svg
+.. |python| image:: https://img.shields.io/badge/Python-3.11-blue.svg
 .. |CI| image:: https://github.com/spotify/chartify/workflows/Tox/badge.svg
         :target: https://github.com/spotify/chartify/actions
 

chartify/_core/chart.py

@@ -20,12 +20,11 @@
 from collections import OrderedDict
 from functools import wraps
 import io
-from io import BytesIO
 import tempfile
 import warnings
 
 import bokeh
-from bokeh.io.export import _SVG_SCRIPT, wait_until_render_complete
+from bokeh.io.export import _SVG_SCRIPT, wait_until_render_complete, get_screenshot_as_png
 import bokeh.plotting
 from bokeh.embed import file_html
 
@@ -444,7 +443,7 @@ def _initialize_webdriver(self):
         driver = webdriver.Chrome(options=options)
         return driver
 
-    def _figure_to_png(self):
+    def _figure_to_png(self, force_resize=True, scale_factor=1):
         """Convert figure object to PNG
         Bokeh can only save figure objects as html.
         To convert to PNG the HTML file is opened in a headless browser.
@@ -458,14 +457,14 @@ def _figure_to_png(self):
         # Open html file in the browser.
         driver.get("file:///" + fp.name)
         driver.execute_script("document.body.style.margin = '0px';")
-        png = driver.get_screenshot_as_png()
+        image = get_screenshot_as_png(self.figure, driver=driver, scale_factor=scale_factor)
         driver.quit()
         fp.close()
         # Resize image if necessary.
-        image = Image.open(BytesIO(png))
-        target_dimensions = (self.style.plot_width, self.style.plot_height)
-        if image.size != target_dimensions:
-            image = image.resize(target_dimensions, resample=Resampling.LANCZOS)
+        if force_resize:
+            target_dimensions = (self.style.plot_width, self.style.plot_height)
+            if image.size != target_dimensions:
+                image = image.resize(target_dimensions, resample=Resampling.LANCZOS)
         return image
 
     def _set_svg_backend_decorator(f):

chartify/_core/plot.py

@@ -350,7 +350,9 @@ def line(
             else:
                 sliced_data = data_frame[data_frame[color_column] == color_value]
             # Filter to only relevant columns.
-            sliced_data = sliced_data[[col for col in sliced_data.columns if col in (x_column, y_column, color_column)]]
+            sliced_data = sliced_data[
+                [col for col in sliced_data.columns if col in (x_column, y_column, color_column)]
+            ]
 
             cast_data = self._cast_datetime_axis(sliced_data, x_column)
 
@@ -959,29 +961,20 @@ def _sort_categories_by_value(source, categorical_columns, categorical_order_asc
 
         hierarchical_sort_cols = categorical_columns[:]
         for i, _ in enumerate(hierarchical_sort_cols):
-            row_totals["level_%s" % i] = row_totals.groupby(hierarchical_sort_cols[: i + 1])["_sum"].transform(
-                "sum"
-            )
+            row_totals["level_%s" % i] = row_totals.groupby(hierarchical_sort_cols[: i + 1])["_sum"].transform("sum")
         row_totals = row_totals.sort_values(
             by=["level_%s" % i for i, _ in enumerate(hierarchical_sort_cols)],
             ascending=categorical_order_ascending,
         )
         return source.reindex(row_totals.index)
 
     @staticmethod
-    def _sort_categories(
-            source,
-            categorical_columns,
-            categorical_order_by,
-            categorical_order_ascending
-    ):
-
+    def _sort_categories(source, categorical_columns, categorical_order_by, categorical_order_ascending):
         is_string = isinstance(categorical_order_by, str)
         order_length = getattr(categorical_order_by, "__len__", None)
         # Sort the categories
         if is_string and categorical_order_by == "values":
-            return PlotMixedTypeXY._sort_categories_by_value(
-                source, categorical_columns, categorical_order_ascending)
+            return PlotMixedTypeXY._sort_categories_by_value(source, categorical_columns, categorical_order_ascending)
         elif is_string and categorical_order_by == "labels":
             return source.sort_index(axis=0, ascending=categorical_order_ascending)
         # Manual sort

chartify/_core/radar_chart.py

@@ -149,7 +149,9 @@ def text(
 
             coord_df = sliced_data.copy()
             coord_df[self._THETA_COLUMN] = self._get_thetas(len(coord_df))
-            coord_df[[self._X_COLUMN, self._Y_COLUMN]] = self._to_xy_coords(coord_df, radius_column, self._THETA_COLUMN)
+            coord_df[[self._X_COLUMN, self._Y_COLUMN]] = self._to_xy_coords(
+                coord_df, radius_column, self._THETA_COLUMN
+            )
 
             source = self._named_column_data_source(coord_df, series_name=color_value)
 
@@ -214,7 +216,9 @@ def perimeter(
 
             coord_df = sliced_data[[radius_column]].copy()
             coord_df[self._THETA_COLUMN] = self._get_thetas(len(coord_df))
-            coord_df[[self._X_COLUMN, self._Y_COLUMN]] = self._to_xy_coords(coord_df, radius_column, self._THETA_COLUMN)
+            coord_df[[self._X_COLUMN, self._Y_COLUMN]] = self._to_xy_coords(
+                coord_df, radius_column, self._THETA_COLUMN
+            )
             # Add endpoint
             coord_df = pd.concat([coord_df, pd.DataFrame([coord_df.iloc[0]])])
 
@@ -267,7 +271,9 @@ def area(self, data_frame, radius_column, color_column=None, color_order=None, a
 
             coord_df = sliced_data[[radius_column]].copy()
             coord_df[self._THETA_COLUMN] = self._get_thetas(len(coord_df))
-            coord_df[[self._X_COLUMN, self._Y_COLUMN]] = self._to_xy_coords(coord_df, radius_column, self._THETA_COLUMN)
+            coord_df[[self._X_COLUMN, self._Y_COLUMN]] = self._to_xy_coords(
+                coord_df, radius_column, self._THETA_COLUMN
+            )
             # Add endpoint
             coord_df = pd.concat([coord_df, pd.DataFrame([coord_df.iloc[0]])])
 
@@ -337,7 +343,9 @@ def radius(
 
             coord_df = sliced_data[[radius_column]].copy()
             coord_df[self._THETA_COLUMN] = self._get_thetas(len(coord_df))
-            coord_df[[self._X_COLUMN, self._Y_COLUMN]] = self._to_xy_coords(coord_df, radius_column, self._THETA_COLUMN)
+            coord_df[[self._X_COLUMN, self._Y_COLUMN]] = self._to_xy_coords(
+                coord_df, radius_column, self._THETA_COLUMN
+            )
 
             color_value = str(color_value) if color_value is not None else color_value
 

chartify/examples.py

@@ -1268,7 +1268,7 @@ def style_color_palette_sequential():
         id_vars=["time"],
         value_vars=data.columns[1:],
         value_name="y",
-        var_name=["grouping"],
+        var_name="grouping",
     )
 
     # Plot the data
@@ -1306,7 +1306,7 @@ def style_color_palette_diverging():
         id_vars=["time"],
         value_vars=data.columns[1:],
         value_name="y",
-        var_name=["grouping"],
+        var_name="grouping",
     )
 
     # Plot the data

examples/Examples.ipynb

@@ -4908,7 +4908,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.13"
+   "version": "3.9.2"
   },
   "toc": {
    "nav_menu": {},

requirements.txt

@@ -3,7 +3,7 @@ Pillow>=9.1.0
 # Avoid selenium bug:
 # https://github.com/SeleniumHQ/selenium/issues/5296
 selenium>=4.0.0
-bokeh>=3.0.0
+bokeh>=3.4.2
 scipy>=1.6.0
 ipykernel>=6.0
 ipython>=7.17.0

setup.py

@@ -104,13 +104,13 @@ def find_meta(meta):
         'Development Status :: 4 - Beta',
         'Intended Audience :: Science/Research',
         'Natural Language :: English',
-        "Programming Language :: Python :: 3.8",
         "Programming Language :: Python :: 3.9",
         "Programming Language :: Python :: 3.10",
+        "Programming Language :: Python :: 3.11",
         "License :: OSI Approved :: Apache Software License"
     ],
     test_suite='tests',
     tests_require=test_requirements,
     setup_requires=setup_requirements,
-    python_requires='>=3.8,<4',
+    python_requires='>=3.9,<4',
     license="Apache 2")