Use axs.flat instead of ax.ravel()

timhoffm · timhoffm · commit f3564cdd38d3 · 2021-07-18T22:54:43.000+02:00
diff --git a/examples/color/custom_cmap.py b/examples/color/custom_cmap.py
@@ -88,7 +88,7 @@
 cmap_name = 'my_list'
 fig, axs = plt.subplots(2, 2, figsize=(6, 9))
 fig.subplots_adjust(left=0.02, bottom=0.06, right=0.95, top=0.94, wspace=0.05)
-for n_bin, ax in zip(n_bins, axs.ravel()):
+for n_bin, ax in zip(n_bins, axs.flat):
     # Create the colormap
     cmap = LinearSegmentedColormap.from_list(cmap_name, colors, N=n_bin)
     # Fewer bins will result in "coarser" colomap interpolation
diff --git a/examples/images_contours_and_fields/contourf_demo.py b/examples/images_contours_and_fields/contourf_demo.py
@@ -96,7 +96,7 @@
 
 fig, axs = plt.subplots(2, 2, constrained_layout=True)
 
-for ax, extend in zip(axs.ravel(), extends):
+for ax, extend in zip(axs.flat, extends):
     cs = ax.contourf(X, Y, Z, levels, cmap=cmap, extend=extend, origin=origin)
     fig.colorbar(cs, ax=ax, shrink=0.9)
     ax.set_title("extend = %s" % extend)
diff --git a/examples/style_sheets/ggplot.py b/examples/style_sheets/ggplot.py
@@ -23,7 +23,7 @@
 np.random.seed(19680801)
 
 fig, axs = plt.subplots(ncols=2, nrows=2)
-ax1, ax2, ax3, ax4 = axs.ravel()
+ax1, ax2, ax3, ax4 = axs.flat
 
 # scatter plot (Note: `plt.scatter` doesn't use default colors)
 x, y = np.random.normal(size=(2, 200))
