ENH: Update the cb_friendly to match cvd_friendly.

act/plotting/timeseriesdisplay.py

@@ -319,7 +319,7 @@ def plot(
         cbar_h_adjust=None,
         y_axis_flag_meanings=False,
         colorbar_labels=None,
-        cb_friendly=False,
+        cvd_friendly=False,
         match_line_label_color=False,
         **kwargs,
     ):
@@ -412,8 +412,8 @@ def plot(
                 1: {'text': 'Liquid', 'color': 'green'},
                 2: {'text': 'Ice', 'color': 'blue'},
                 3: {'text': 'Mixed phase', 'color': 'purple'}}
-        cb_friendly : boolean
-            Set to true if you want to use the integrated colorblind friendly
+        cvd_friendly : boolean
+            Set to true if you want to use the integrated color vision deficiency (CVD) friendly
             colors for green/red based on the Homeyer colormap.
         match_line_label_color : boolean
             Will set the y label to match the line color in the plot. This
@@ -440,7 +440,7 @@ def plot(
         if y_axis_flag_meanings:
             kwargs['linestyle'] = ''
 
-        if cb_friendly:
+        if cvd_friendly:
             cmap = 'HomeyerRainbow'
             assessment_overplot_category_color['Bad'] = (
                 0.9285714285714286,
@@ -1278,7 +1278,7 @@ def time_height_scatter(
         cb_label=None,
         subplot_index=(0,),
         plot_alt_field=False,
-        cb_friendly=False,
+        cvd_friendly=False,
         day_night_background=False,
         set_title=None,
         **kwargs,
@@ -1309,7 +1309,7 @@ def time_height_scatter(
             The index of the subplot to set the x range of.
         plot_alt_field : boolean
             Set to true to plot the altitude field on the secondary y-axis
-        cb_friendly : boolean
+        cvd_friendly : boolean
             If set to True will use the Homeyer colormap
         day_night_background : boolean
             If set to True will plot the day_night_background
@@ -1339,7 +1339,7 @@ def time_height_scatter(
             self.axes = np.array([plt.axes()])
             self.fig.add_axes(self.axes[0])
 
-        if cb_friendly:
+        if cvd_friendly:
             cmap = 'HomeyerRainbow'
 
         ax = self.axes[subplot_index]
@@ -1436,7 +1436,7 @@ def qc_flag_block_plot(
         assessment_color=None,
         edgecolor='face',
         set_shading='auto',
-        cb_friendly=False,
+        cvd_friendly=False,
         **kwargs,
     ):
         """
@@ -1465,8 +1465,8 @@ def qc_flag_block_plot(
         set_shading : string
             Option to to set the matplotlib.pcolormesh shading parameter.
             Default to 'auto'
-        cb_friendly : boolean
-            Set to true if you want to use the integrated colorblind friendly
+        cvd_friendly : boolean
+            Set to true if you want to use the integrated color vision deficiency (CVD) friendly
             colors for green/red based on the Homeyer colormap
         **kwargs : keyword arguments
             The keyword arguments for :func:`plt.broken_barh`.
@@ -1482,7 +1482,7 @@ def qc_flag_block_plot(
             'Not Failing': 'green',
             'Acceptable': 'green',
         }
-        if cb_friendly:
+        if cvd_friendly:
             color_lookup['Bad'] = (0.9285714285714286, 0.7130901016453677, 0.7130901016453677)
             color_lookup['Incorrect'] = (0.9285714285714286, 0.7130901016453677, 0.7130901016453677)
             color_lookup['Not Failing'] = (0.0, 0.4240129715562796, 0.4240129715562796)

examples/io/plot_sodar.py

@@ -28,6 +28,6 @@
 
 # Plot shear with a wind barb overlay, while using a color vision
 # deficiency (CVD) colormap.
-display.plot('shear', subplot_index=(0,), cb_friendly=True)
+display.plot('shear', subplot_index=(0,), cvd_friendly=True)
 display.plot_barbs_from_spd_dir('speed', 'dir')
 plt.show()

examples/plotting/plot_ceil.py

@@ -33,8 +33,8 @@
 # Adjust ceilometer data for plotting
 ceil_ds = act.corrections.ceil.correct_ceil(ceil_ds, -9999.0)
 
-# Plot up ceilometer backscatter using HomeyerRainbow cb friendly colormap
+# Plot up ceilometer backscatter using HomeyerRainbow CVD friendly colormap
 # The same could be done with keyword 'cmap='HomeyerRainbow'
 display = act.plotting.TimeSeriesDisplay(ceil_ds, subplot_shape=(1,), figsize=(15, 5))
-display.plot('backscatter', subplot_index=(0,), cb_friendly=True)
+display.plot('backscatter', subplot_index=(0,), cvd_friendly=True)
 plt.show()

examples/plotting/plot_time_height_scatter.py

@@ -16,7 +16,7 @@
 # Create scatter plots of the sonde data
 display = act.plotting.TimeSeriesDisplay(ds, figsize=(7, 6), subplot_shape=(2,))
 display.time_height_scatter('tdry', plot_alt_field=True, subplot_index=(0,))
-display.time_height_scatter('rh', subplot_index=(1,), cb_friendly=True, day_night_background=True)
+display.time_height_scatter('rh', subplot_index=(1,), cvd_friendly=True, day_night_background=True)
 plt.tight_layout()
 ds.close()
 

examples/qc/plot_qc_bsrn.py

@@ -25,10 +25,10 @@
 display = act.plotting.TimeSeriesDisplay(ds, figsize=(15, 10), subplot_shape=(2,))
 
 # Plot radiation data in top plot
-display.plot(variable, subplot_index=(0,), day_night_background=True, cb_friendly=True)
+display.plot(variable, subplot_index=(0,), day_night_background=True, cvd_friendly=True)
 
 # Plot ancillary QC data in bottom plot
-display.qc_flag_block_plot(variable, subplot_index=(1,), cb_friendly=True)
+display.qc_flag_block_plot(variable, subplot_index=(1,), cvd_friendly=True)
 plt.show()
 
 # Add initial BSRN QC tests to ancillary QC varialbles. Use defualts for
@@ -74,9 +74,9 @@
     subplot_index=(0,),
     day_night_background=True,
     assessment_overplot=True,
-    cb_friendly=True,
+    cvd_friendly=True,
 )
 
 # Plot ancillary QC data in bottom plot
-display.qc_flag_block_plot(variable, subplot_index=(1,), cb_friendly=True)
+display.qc_flag_block_plot(variable, subplot_index=(1,), cvd_friendly=True)
 plt.show()

examples/templates/notebook_and_blog_template.ipynb

@@ -255,7 +255,7 @@
     "\n",
     "# Plot shear with a wind barb overlay, while using a color vision\n",
     "# deficiency (CVD) colormap.\n",
-    "display.plot('shear', subplot_index=(0,), cb_friendly=True)\n",
+    "display.plot('shear', subplot_index=(0,), cvd_friendly=True)\n",
     "display.plot_barbs_from_spd_dir('speed', 'dir')\n",
     "plt.show()"
    ]

tests/plotting/test_timeseriesdisplay.py

@@ -220,10 +220,10 @@ def test_time_height_scatter2():
         {'sgpsondewnpnC1.b1': sonde_ds}, figsize=(8, 10), subplot_shape=(2,)
     )
     display.time_height_scatter(
-        'tdry', day_night_background=True, subplot_index=(0,), cb_friendly=True, plot_alt_field=True
+        'tdry', day_night_background=True, subplot_index=(0,), cvd_friendly=True, plot_alt_field=True
     )
     display.time_height_scatter(
-        'rh', day_night_background=True, subplot_index=(1,), cb_friendly=True
+        'rh', day_night_background=True, subplot_index=(1,), cvd_friendly=True
     )
 
     sonde_ds.close()
@@ -310,7 +310,7 @@ def test_qc_flag_block_plot():
     display.plot('surface_albedo_mfr_narrowband_10m', force_line_plot=True, labels=True)
 
     display.qc_flag_block_plot(
-        'surface_albedo_mfr_narrowband_10m', subplot_index=(1,), cb_friendly=True
+        'surface_albedo_mfr_narrowband_10m', subplot_index=(1,), cvd_friendly=True
     )
 
     ds.close()