Merge pull request #37 from zssherman/example_bars

ADD: Example plot cvd colorbars.py

ci/environment-docs.yml

@@ -3,6 +3,7 @@ channels:
   - conda-forge
 dependencies:
   - numpydoc
+  - matplotlib
   - pydata-sphinx-theme
   - nbsphinx
   - ipython
@@ -13,7 +14,11 @@ dependencies:
   - myst-nb
   - myst-parser
   - sphinx-design
+  - sphinx-gallery
+  - sphinx-copybutton
+  - sphinx<7.2
   - pip
   - pip:
+      - ablog
       - sphinxext-opengraph
       - -e ..

docs/source/conf.py

@@ -40,14 +40,22 @@
     'sphinx.ext.doctest',
     'sphinx.ext.intersphinx',
     'sphinx.ext.extlinks',
+    'sphinx_gallery.gen_gallery',
     'numpydoc',
     'myst_nb',
     'IPython.sphinxext.ipython_console_highlighting',
     'IPython.sphinxext.ipython_directive',
     'nbsphinx',
     'sphinx_design',
+    'myst_nb',
+    'ablog',
 ]
 
+sphinx_gallery_conf = {
+    'examples_dirs': '../../examples',
+    'gallery_dirs': 'source/auto_examples',
+    'abort_on_example_error': True,
+}
 
 # MyST config
 myst_enable_extensions = ['amsmath', 'colon_fence', 'deflist', 'html_image']

docs/source/index.md

@@ -10,6 +10,7 @@ hidden:
 ---
 usage
 api
+source/auto_examples/index.rst
 contributing
 ```
 

examples/README.rst

@@ -0,0 +1,4 @@
+Example Gallery
+===============
+
+This gallery houses examples on the different colormaps present in cmweather.

examples/plot_cvd_colorbars.py

@@ -0,0 +1,102 @@
+"""
+===================================
+Choose a CVD Colormap for your Plot
+===================================
+
+This is an example of some of the CVD friendly colormaps in cmweather,
+and how to add them to your own plots.
+
+"""
+print(__doc__)
+
+# Author: Max Grover and Zach Sherman
+# License: BSD 3 clause
+
+import matplotlib
+import matplotlib.pyplot as plt
+import numpy as np
+
+import cmweather  # noqa
+
+matplotlib.rcParams.update({'font.family': 'Arial'})
+
+######################################
+# **Plot the available colormaps**
+#
+# Let's see which CVD colormaps are available directly from cmweather!
+# We use a helper function from matplotlib to plot this.
+
+# Setup some helper functions and ranges to visualize our colormaps, from matplotlib
+gradient = np.linspace(0, 1, 256)
+gradient = np.vstack((gradient, gradient))
+
+
+def plot_color_gradients(cmap_category, cmap_list):
+    # Create figure and adjust figure height to number of colormaps
+    nrows = len(cmap_list)
+    figh = 0.35 + 0.15 + (nrows + (nrows - 1) * 0.1) * 0.22
+    fig, axs = plt.subplots(nrows=nrows, figsize=(6.4, figh))
+    fig.subplots_adjust(top=1 - 0.35 / figh, bottom=0.15 / figh, left=0.4, right=0.99)
+
+    axs[0].set_title(cmap_category, fontsize=14)
+
+    for ax, cmap_name in zip(axs, cmap_list):
+        ax.imshow(gradient, aspect='auto', cmap=f"{cmap_name}")
+        if cmap_name == 'plasmidis':
+            ax.text(
+                -0.01,
+                0.5,
+                f"{'plasmidis'}",
+                va='center',
+                ha='right',
+                fontsize=10,
+                transform=ax.transAxes,
+            )
+        else:
+            ax.text(
+                -0.01,
+                0.5,
+                f"{cmap_name}",
+                va='center',
+                ha='right',
+                fontsize=10,
+                transform=ax.transAxes,
+            )
+
+    # Turn off *all* ticks & spines, not just the ones with colormaps.
+    for ax in axs:
+        ax.set_axis_off()
+
+
+######################################
+# **Color Vision Deficiency (CVD) Friendly Colormaps**
+#
+# We recommend starting with these CVD friendly colormaps.
+# These colormaps are the most inclusive, and should be used where
+# possible.
+
+#######################################
+# **Reflectivity Colormaps**
+#
+# These CVD colormaps were created for equivalent reflectivity factor.
+
+(r'$H_{2}$')
+plot_color_gradients(
+    r'CVD-Friendly $Z_{e}$ Colormaps',
+    ['LangRainbow12', 'HomeyerRainbow', 'ChaseSpectral', 'SpectralExtended'],
+)
+
+########################################
+# **Velocity Colormaps**
+#
+# These CVD colormaps were created for mean Doppler velocity.
+
+plot_color_gradients('CVD-Friendly Velocity Colormaps', ['balance', 'twilight_shifted'])
+
+########################################
+# **Polarization Colormaps**
+#
+# These CVD colormaps were created for polarization moments such as
+# differential reflectivity and depolarization ratio.
+
+plot_color_gradients('CVD-Friendly Polarization Colormaps', ['CM_depol', 'plasmidis'])