matplotlib · dstansby · Apr 12, 2017 · Mar 19, 2017 · Mar 23, 2017 · Mar 28, 2017
diff --git a/doc/users/prev_whats_new/whats_new_1.2.rst b/doc/users/prev_whats_new/whats_new_1.2.rst
@@ -153,7 +153,7 @@ In addition to simply plotting the streamlines of the vector field,
 line widths of the streamlines to a separate parameter, such as the speed or
 local intensity of the vector field.
 
-.. plot:: gallery/images_contours_and_fields/streamplot_features.py
+.. plot:: mpl_examples/images_contours_and_fields/plot_streamplot.py
 
 
 New hist functionality

diff --git a/doc/users/screenshots.rst b/doc/users/screenshots.rst
@@ -71,7 +71,7 @@ a vector field. In addition to simply plotting the streamlines, it allows you
 to map the colors and/or line widths of streamlines to a separate parameter,
 such as the speed or local intensity of the vector field.
 
-.. plot:: gallery/images_contours_and_fields/streamplot_features.py
+.. plot:: mpl_examples/images_contours_and_fields/plot_streamplot.py
 
 This feature complements the :meth:`~matplotlib.pyplot.quiver` function for
 plotting vector fields. Thanks to Tom Flannaghan and Tony Yu for adding the

diff --git a/examples/images_contours_and_fields/plot_streamplot.py b/examples/images_contours_and_fields/plot_streamplot.py
@@ -0,0 +1,73 @@
+"""
+==========
+Streamplot
+==========
+
+A stream plot, or streamline plot, is used to display 2D vector fields. This
+example shows a few features of the streamplot function:
+
+    * Varying the color along a streamline.
+    * Varying the density of streamlines.
+    * Varying the line width along a streamline.
+    * Controlling the starting points of streamlines.
+    * Streamlines skipping masked regions and NaN values.
+"""
+import numpy as np
+import matplotlib.pyplot as plt
+import matplotlib.gridspec as gridspec
+
+w = 3
+Y, X = np.mgrid[-w:w:100j, -w:w:100j]
+U = -1 - X**2 + Y
+V = 1 + X - Y**2
+speed = np.sqrt(U*U + V*V)
+
+fig = plt.figure(figsize=(7, 9))
+gs = gridspec.GridSpec(nrows=3, ncols=2, height_ratios=[1, 1, 2])
+
+#  Varying density along a streamline
+ax0 = fig.add_subplot(gs[0, 0])
+ax0.streamplot(X, Y, U, V, density=[0.5, 1])
+ax0.set_title('Varying Density')
+
+# Varying color along a streamline
+ax1 = fig.add_subplot(gs[0, 1])
+strm = ax1.streamplot(X, Y, U, V, color=U, linewidth=2, cmap='autumn')
+fig.colorbar(strm.lines)
+ax1.set_title('Varying Color')
+
+#  Varying line width along a streamline
+ax2 = fig.add_subplot(gs[1, 0])
+lw = 5*speed / speed.max()
+ax2.streamplot(X, Y, U, V, density=0.6, color='k', linewidth=lw)
+ax2.set_title('Varying Line Width')
+
+# Controlling the starting points of the streamlines
+seed_points = np.array([[-2, -1, 0, 1, 2, -1], [-2, -1,  0, 1, 2, 2]])
+
+ax3 = fig.add_subplot(gs[1, 1])
+strm = ax3.streamplot(X, Y, U, V, color=U, linewidth=2,
+                     cmap='autumn', start_points=seed_points.T)
+fig.colorbar(strm.lines)
+ax3.set_title('Controlling Starting Points')
+
+# Displaying the starting points with blue symbols.
+ax3.plot(seed_points[0], seed_points[1], 'bo')
+ax3.axis((-w, w, -w, w))
+
+# Create a mask
+mask = np.zeros(U.shape, dtype=bool)
+mask[40:60, 40:60] = True
+U[:20, :20] = np.nan
+U = np.ma.array(U, mask=mask)
+
+ax4 = fig.add_subplot(gs[2:, :])
+ax4.streamplot(X, Y, U, V, color='r')
+ax4.set_title('Streamplot with Masking')
+
+ax4.imshow(~mask, extent=(-w, w, -w, w), alpha=0.5,
+          interpolation='nearest', cmap='gray', aspect='auto')
+ax4.set_aspect('equal')
+
+plt.tight_layout()
+plt.show()
diff --git a/examples/images_contours_and_fields/streamplot_features.py b/examples/images_contours_and_fields/streamplot_features.py
diff --git a/examples/images_contours_and_fields/streamplot_masking.py b/examples/images_contours_and_fields/streamplot_masking.py
diff --git a/examples/images_contours_and_fields/streamplot_start_points.py b/examples/images_contours_and_fields/streamplot_start_points.py