Merge pull request matplotlib#21221 from timhoffm/plot-t

Updates to plot types

Author: story645

doc/sphinxext/gallery_order.py

@@ -68,12 +68,13 @@ def __call__(self, item):
 
     # **Plot Types
     # Basic
-    "plot", "scatter_plot", "bar", "stem", "step", "pie", "fill_between",
+    "plot", "scatter_plot", "bar", "stem", "step", "fill_between",
     # Arrays
-    "imshow", "pcolormesh", "contour", "contourf", "quiver", "streamplot",
+    "imshow", "pcolormesh", "contour", "contourf",
+    "barbs", "quiver", "streamplot",
     # Stats
     "hist_plot", "boxplot_plot", "errorbar_plot", "violin",
-    "barbs", "eventplot", "hist2d", "hexbin",
+    "eventplot", "hist2d", "hexbin", "pie",
     # Unstructured
     "tricontour", "tricontourf", "tripcolor", "triplot",
     ]

plot_types/arrays/barbs.py

@@ -0,0 +1,33 @@
+"""
+================
+barbs(X, Y U, V)
+================
+
+See `~matplotlib.axes.Axes.barbs`.
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.style.use('_mpl-gallery-nogrid')
+
+# make data:
+X, Y = np.meshgrid([1, 2, 3, 4], [1, 2, 3, 4])
+angle = np.pi / 180 * np.array([[15., 30, 35, 45],
+                                [25., 40, 55, 60],
+                                [35., 50, 65, 75],
+                                [45., 60, 75, 90]])
+amplitude = np.array([[5, 10, 25, 50],
+                      [10, 15, 30, 60],
+                      [15, 26, 50, 70],
+                      [20, 45, 80, 100]])
+U = amplitude * np.sin(angle)
+V = amplitude * np.cos(angle)
+
+# plot:
+fig, ax = plt.subplots()
+
+ax.barbs(X, Y, U, V, barbcolor="C0", flagcolor="C0", length=7, linewidth=1.5)
+
+ax.set(xlim=(0, 4.5), ylim=(0, 4.5))
+
+plt.show()

plot_types/arrays/imshow.py

@@ -12,9 +12,8 @@
 plt.style.use('_mpl-gallery-nogrid')
 
 # make data
-X, Y = np.meshgrid(np.linspace(-3, 3, 256), np.linspace(-3, 3, 256))
+X, Y = np.meshgrid(np.linspace(-3, 3, 16), np.linspace(-3, 3, 16))
 Z = (1 - X/2 + X**5 + Y**3) * np.exp(-X**2 - Y**2)
-Z = Z[::16, ::16]
 
 # plot
 fig, ax = plt.subplots()

plot_types/arrays/pcolormesh.py

@@ -12,18 +12,11 @@
 
 plt.style.use('_mpl-gallery-nogrid')
 
-# make full-res data
-X, Y = np.meshgrid(np.linspace(-3, 3, 256), np.linspace(-3, 3, 256))
+# make data with uneven sampling in x
+x = [-3, -2, -1.6, -1.2, -.8, -.5, -.2, .1, .3, .5, .8, 1.1, 1.5, 1.9, 2.3, 3]
+X, Y = np.meshgrid(x, np.linspace(-3, 3, 128))
 Z = (1 - X/2 + X**5 + Y**3) * np.exp(-X**2 - Y**2)
 
-# sample unevenly in x:
-dx = np.sqrt((np.arange(16) - 8)**2) + 6
-dx = np.floor(dx / sum(dx) * 255)
-xint = np.cumsum(dx).astype('int')
-X = X[0, xint]
-Y = Y[::8, 0]
-Z = Z[::8, :][:, xint]
-
 # plot
 fig, ax = plt.subplots()