Remove interpolation="nearest" from most examples.

anntzer · anntzer · commit c6e185d2e0ad · 2019-11-09T22:20:36.000+01:00
It is now the default interpolation method (well, actually the default
is "antialiased" but for the cases here they're the same).

The explicit kwarg was left for examples actually illustrating the
interpolation kwarg.
diff --git a/examples/axes_grid1/demo_axes_divider.py b/examples/axes_grid1/demo_axes_divider.py
@@ -21,7 +21,7 @@ def get_demo_image():
 def demo_simple_image(ax):
     Z, extent = get_demo_image()
 
-    im = ax.imshow(Z, extent=extent, interpolation="nearest")
+    im = ax.imshow(Z, extent=extent)
     cb = plt.colorbar(im)
     plt.setp(cb.ax.get_yticklabels(), visible=False)
 
@@ -60,7 +60,7 @@ def demo_locatable_axes_hard(fig):
 
     Z, extent = get_demo_image()
 
-    im = ax.imshow(Z, extent=extent, interpolation="nearest")
+    im = ax.imshow(Z, extent=extent)
     plt.colorbar(im, cax=ax_cb)
     plt.setp(ax_cb.get_yticklabels(), visible=False)
 
@@ -75,7 +75,7 @@ def demo_locatable_axes_easy(ax):
     fig.add_axes(ax_cb)
 
     Z, extent = get_demo_image()
-    im = ax.imshow(Z, extent=extent, interpolation="nearest")
+    im = ax.imshow(Z, extent=extent)
 
     plt.colorbar(im, cax=ax_cb)
     ax_cb.yaxis.tick_right()
@@ -92,8 +92,8 @@ def demo_images_side_by_side(ax):
     fig1 = ax.get_figure()
     fig1.add_axes(ax2)
 
-    ax.imshow(Z, extent=extent, interpolation="nearest")
-    ax2.imshow(Z, extent=extent, interpolation="nearest")
+    ax.imshow(Z, extent=extent)
+    ax2.imshow(Z, extent=extent)
     ax2.yaxis.set_tick_params(labelleft=False)
 
 
diff --git a/examples/axes_grid1/demo_axes_grid.py b/examples/axes_grid1/demo_axes_grid.py
@@ -34,7 +34,7 @@ def demo_simple_grid(fig):
                      )
     Z, extent = get_demo_image()
     for ax in grid:
-        ax.imshow(Z, extent=extent, interpolation="nearest")
+        ax.imshow(Z, extent=extent)
     # This only affects axes in first column and second row as share_all=False.
     grid.axes_llc.set_xticks([-2, 0, 2])
     grid.axes_llc.set_yticks([-2, 0, 2])
@@ -55,7 +55,7 @@ def demo_grid_with_single_cbar(fig):
 
     Z, extent = get_demo_image()
     for ax in grid:
-        im = ax.imshow(Z, extent=extent, interpolation="nearest")
+        im = ax.imshow(Z, extent=extent)
     grid.cbar_axes[0].colorbar(im)
 
     for cax in grid.cbar_axes:
@@ -82,7 +82,7 @@ def demo_grid_with_each_cbar(fig):
                      )
     Z, extent = get_demo_image()
     for ax, cax in zip(grid, grid.cbar_axes):
-        im = ax.imshow(Z, extent=extent, interpolation="nearest")
+        im = ax.imshow(Z, extent=extent)
         cax.colorbar(im)
         cax.toggle_label(False)
 
@@ -110,8 +110,7 @@ def demo_grid_with_each_cbar_labelled(fig):
     # Use a different colorbar range every time
     limits = ((0, 1), (-2, 2), (-1.7, 1.4), (-1.5, 1))
     for ax, cax, vlim in zip(grid, grid.cbar_axes, limits):
-        im = ax.imshow(Z, extent=extent, interpolation="nearest",
-                       vmin=vlim[0], vmax=vlim[1])
+        im = ax.imshow(Z, extent=extent, vmin=vlim[0], vmax=vlim[1])
         cb = cax.colorbar(im)
         cb.set_ticks((vlim[0], vlim[1]))
 
diff --git a/examples/axes_grid1/demo_axes_grid2.py b/examples/axes_grid1/demo_axes_grid2.py
@@ -58,8 +58,7 @@ def add_inner_title(ax, title, loc, **kwargs):
                  )
 
 for i, (ax, z) in enumerate(zip(grid, ZS)):
-    im = ax.imshow(
-        z, origin="lower", extent=extent, interpolation="nearest")
+    im = ax.imshow(z, origin="lower", extent=extent)
     cb = ax.cax.colorbar(im)
     # Changing the colorbar ticks
     if i in [1, 2]:
@@ -100,9 +99,7 @@ def add_inner_title(ax, title, loc, **kwargs):
 norm = matplotlib.colors.Normalize(vmax=vmax, vmin=vmin)
 
 for ax, z in zip(grid2, ZS):
-    im = ax.imshow(z, norm=norm,
-                   origin="lower", extent=extent,
-                   interpolation="nearest")
+    im = ax.imshow(z, norm=norm, origin="lower", extent=extent)
 
 # With cbar_mode="single", cax attribute of all axes are identical.
 ax.cax.colorbar(im)
diff --git a/examples/axes_grid1/demo_axes_hbox_divider.py b/examples/axes_grid1/demo_axes_hbox_divider.py
@@ -34,8 +34,8 @@ def make_heights_equal(fig, rect, ax1, ax2, pad):
     arr2 = np.arange(20).reshape((5, 4))
 
     fig, (ax1, ax2) = plt.subplots(1, 2)
-    ax1.imshow(arr1, interpolation="nearest")
-    ax2.imshow(arr2, interpolation="nearest")
+    ax1.imshow(arr1)
+    ax2.imshow(arr2)
 
     rect = 111  # subplot param for combined axes
     make_heights_equal(fig, rect, ax1, ax2, pad=0.5)  # pad in inches
diff --git a/examples/axes_grid1/demo_axes_rgb.py b/examples/axes_grid1/demo_axes_rgb.py
@@ -52,23 +52,18 @@ def demo_rgb():
 
     r, g, b = get_rgb()
     im_r, im_g, im_b, im_rgb = make_cube(r, g, b)
-    kwargs = dict(origin="lower", interpolation="nearest")
-    ax.imshow(im_rgb, **kwargs)
-    ax_r.imshow(im_r, **kwargs)
-    ax_g.imshow(im_g, **kwargs)
-    ax_b.imshow(im_b, **kwargs)
+    ax.imshow(im_rgb)
+    ax_r.imshow(im_r)
+    ax_g.imshow(im_g)
+    ax_b.imshow(im_b)
 
 
 def demo_rgb2():
     fig = plt.figure()
     ax = RGBAxes(fig, [0.1, 0.1, 0.8, 0.8], pad=0.0)
 
     r, g, b = get_rgb()
-    kwargs = dict(origin="lower", interpolation="nearest")
-    ax.imshow_rgb(r, g, b, **kwargs)
-
-    ax.RGB.set_xlim(0., 9.5)
-    ax.RGB.set_ylim(0.9, 10.6)
+    ax.imshow_rgb(r, g, b)
 
     for ax1 in [ax.RGB, ax.R, ax.G, ax.B]:
         ax1.tick_params(axis='both', direction='in')
diff --git a/examples/axes_grid1/demo_colorbar_of_inset_axes.py b/examples/axes_grid1/demo_colorbar_of_inset_axes.py
@@ -28,8 +28,7 @@ def get_demo_image():
 
 
 axins = zoomed_inset_axes(ax, zoom=2, loc='upper left')
-im = axins.imshow(Z, extent=extent, interpolation="nearest",
-                  origin="lower")
+im = axins.imshow(Z, extent=extent, origin="lower")
 
 plt.xticks(visible=False)
 plt.yticks(visible=False)
diff --git a/examples/axes_grid1/demo_edge_colorbar.py b/examples/axes_grid1/demo_edge_colorbar.py
@@ -6,10 +6,14 @@
 This example shows how to use one common colorbar for each row or column
 of an image grid.
 """
+
 import matplotlib.pyplot as plt
 from mpl_toolkits.axes_grid1 import AxesGrid
 
 
+plt.rcParams["mpl_toolkits.legacy_colorbar"] = False
+
+
 def get_demo_image():
     import numpy as np
     from matplotlib.cbook import get_sample_data
@@ -38,8 +42,7 @@ def demo_bottom_cbar(fig):
     Z, extent = get_demo_image()
     cmaps = [plt.get_cmap("autumn"), plt.get_cmap("summer")]
     for i in range(4):
-        im = grid[i].imshow(Z, extent=extent, interpolation="nearest",
-                            cmap=cmaps[i//2])
+        im = grid[i].imshow(Z, extent=extent, cmap=cmaps[i//2])
         if i % 2:
             grid.cbar_axes[i//2].colorbar(im)
 
@@ -69,8 +72,7 @@ def demo_right_cbar(fig):
     Z, extent = get_demo_image()
     cmaps = [plt.get_cmap("spring"), plt.get_cmap("winter")]
     for i in range(4):
-        im = grid[i].imshow(Z, extent=extent, interpolation="nearest",
-                            cmap=cmaps[i//2])
+        im = grid[i].imshow(Z, extent=extent, cmap=cmaps[i//2])
         if i % 2:
             grid.cbar_axes[i//2].colorbar(im)
 
diff --git a/examples/axes_grid1/inset_locator_demo2.py b/examples/axes_grid1/inset_locator_demo2.py
@@ -61,13 +61,11 @@ def add_sizebar(ax, size):
 Z2[30:30 + ny, 30:30 + nx] = Z
 
 # extent = [-3, 4, -4, 3]
-ax2.imshow(Z2, extent=extent, interpolation="nearest",
-          origin="lower")
+ax2.imshow(Z2, extent=extent, origin="lower")
 
 
 axins2 = zoomed_inset_axes(ax2, 6, loc=1)  # zoom = 6
-axins2.imshow(Z2, extent=extent, interpolation="nearest",
-              origin="lower")
+axins2.imshow(Z2, extent=extent, origin="lower")
 
 # sub region of the original image
 x1, x2, y1, y2 = -1.5, -0.9, -2.5, -1.9
diff --git a/examples/axes_grid1/simple_axesgrid2.py b/examples/axes_grid1/simple_axesgrid2.py
@@ -34,7 +34,6 @@ def get_demo_image():
 im3 = Z[:, 10:]
 vmin, vmax = Z.min(), Z.max()
 for ax, im in zip(grid, [im1, im2, im3]):
-    ax.imshow(im, origin="lower", vmin=vmin, vmax=vmax,
-              interpolation="nearest")
+    ax.imshow(im, origin="lower", vmin=vmin, vmax=vmax)
 
 plt.show()
diff --git a/examples/axes_grid1/simple_rgb.py b/examples/axes_grid1/simple_rgb.py
@@ -35,8 +35,7 @@ def get_rgb():
 ax = RGBAxes(fig, [0.1, 0.1, 0.8, 0.8])
 
 r, g, b = get_rgb()
-kwargs = dict(origin="lower", interpolation="nearest")
-ax.imshow_rgb(r, g, b, **kwargs)
+ax.imshow_rgb(r, g, b, origin="lower")
 
 ax.RGB.set_xlim(0., 9.5)
 ax.RGB.set_ylim(0.9, 10.6)
diff --git a/examples/axisartist/demo_curvelinear_grid2.py b/examples/axisartist/demo_curvelinear_grid2.py
@@ -57,9 +57,7 @@ def inv_tr(x, y):
     fig.add_subplot(ax1)
 
     ax1.imshow(np.arange(25).reshape(5, 5),
-               vmax=50, cmap=plt.cm.gray_r,
-               interpolation="nearest",
-               origin="lower")
+               vmax=50, cmap=plt.cm.gray_r, origin="lower")
 
 
 if __name__ == "__main__":
diff --git a/examples/color/custom_cmap.py b/examples/color/custom_cmap.py
@@ -92,10 +92,9 @@
 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()):
     # Create the colormap
-    cm = LinearSegmentedColormap.from_list(
-        cmap_name, colors, N=n_bin)
+    cm = LinearSegmentedColormap.from_list(cmap_name, colors, N=n_bin)
     # Fewer bins will result in "coarser" colomap interpolation
-    im = ax.imshow(Z, interpolation='nearest', origin='lower', cmap=cm)
+    im = ax.imshow(Z, origin='lower', cmap=cm)
     ax.set_title("N bins: %s" % n_bin)
     fig.colorbar(im, ax=ax)
 
@@ -188,11 +187,11 @@
 
 # Make 4 subplots:
 
-im1 = axs[0, 0].imshow(Z, interpolation='nearest', cmap=blue_red1)
+im1 = axs[0, 0].imshow(Z, cmap=blue_red1)
 fig.colorbar(im1, ax=axs[0, 0])
 
 cmap = plt.get_cmap('BlueRed2')
-im2 = axs[1, 0].imshow(Z, interpolation='nearest', cmap=cmap)
+im2 = axs[1, 0].imshow(Z, cmap=cmap)
 fig.colorbar(im2, ax=axs[1, 0])
 
 # Now we will set the third cmap as the default.  One would
@@ -201,7 +200,7 @@
 
 plt.rcParams['image.cmap'] = 'BlueRed3'
 
-im3 = axs[0, 1].imshow(Z, interpolation='nearest')
+im3 = axs[0, 1].imshow(Z)
 fig.colorbar(im3, ax=axs[0, 1])
 axs[0, 1].set_title("Alpha = 1")
 
@@ -215,7 +214,7 @@
 # Draw a line with low zorder so it will be behind the image.
 axs[1, 1].plot([0, 10 * np.pi], [0, 20 * np.pi], color='c', lw=20, zorder=-1)
 
-im4 = axs[1, 1].imshow(Z, interpolation='nearest')
+im4 = axs[1, 1].imshow(Z)
 fig.colorbar(im4, ax=axs[1, 1])
 
 # Here it is: changing the colormap for the current image and its
diff --git a/examples/images_contours_and_fields/image_zcoord.py b/examples/images_contours_and_fields/image_zcoord.py
@@ -19,7 +19,7 @@
 X = 10*np.random.rand(5, 3)
 
 fig, ax = plt.subplots()
-ax.imshow(X, interpolation='nearest')
+ax.imshow(X)
 
 numrows, numcols = X.shape
 
diff --git a/examples/images_contours_and_fields/plot_streamplot.py b/examples/images_contours_and_fields/plot_streamplot.py
@@ -65,8 +65,7 @@
 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.imshow(~mask, extent=(-w, w, -w, w), alpha=0.5, cmap='gray', aspect='auto')
 ax4.set_aspect('equal')
 
 plt.tight_layout()
diff --git a/examples/pyplots/whats_new_99_axes_grid.py b/examples/pyplots/whats_new_99_axes_grid.py
@@ -42,8 +42,7 @@ def get_rgb():
 ax = RGBAxes(fig, [0.1, 0.1, 0.8, 0.8])
 
 r, g, b = get_rgb()
-kwargs = dict(origin="lower", interpolation="nearest")
-ax.imshow_rgb(r, g, b, **kwargs)
+ax.imshow_rgb(r, g, b, origin="lower")
 
 ax.RGB.set_xlim(0., 9.5)
 ax.RGB.set_ylim(0.9, 10.6)
diff --git a/examples/subplots_axes_and_figures/zoom_inset_axes.py b/examples/subplots_axes_and_figures/zoom_inset_axes.py
@@ -27,13 +27,11 @@ def get_demo_image():
 ny, nx = Z.shape
 Z2[30:30 + ny, 30:30 + nx] = Z
 
-ax.imshow(Z2, extent=extent, interpolation="nearest",
-          origin="lower")
+ax.imshow(Z2, extent=extent, origin="lower")
 
 # inset axes....
 axins = ax.inset_axes([0.5, 0.5, 0.47, 0.47])
-axins.imshow(Z2, extent=extent, interpolation="nearest",
-          origin="lower")
+axins.imshow(Z2, extent=extent, origin="lower")
 # sub region of the original image
 x1, x2, y1, y2 = -1.5, -0.9, -2.5, -1.9
 axins.set_xlim(x1, x2)
diff --git a/examples/ticks_and_spines/colorbar_tick_labelling_demo.py b/examples/ticks_and_spines/colorbar_tick_labelling_demo.py
@@ -20,7 +20,7 @@
 
 data = np.clip(randn(250, 250), -1, 1)
 
-cax = ax.imshow(data, interpolation='nearest', cmap=cm.coolwarm)
+cax = ax.imshow(data, cmap=cm.coolwarm)
 ax.set_title('Gaussian noise with vertical colorbar')
 
 # Add colorbar, make sure to specify tick locations to match desired ticklabels
@@ -34,7 +34,7 @@
 
 data = np.clip(randn(250, 250), -1, 1)
 
-cax = ax.imshow(data, interpolation='nearest', cmap=cm.afmhot)
+cax = ax.imshow(data, cmap=cm.afmhot)
 ax.set_title('Gaussian noise with horizontal colorbar')
 
 cbar = fig.colorbar(cax, ticks=[-1, 0, 1], orientation='horizontal')
diff --git a/examples/ticks_and_spines/spines_dropped.py b/examples/ticks_and_spines/spines_dropped.py
@@ -14,7 +14,7 @@
 fig, ax = plt.subplots()
 
 image = np.random.uniform(size=(10, 10))
-ax.imshow(image, cmap=plt.cm.gray, interpolation='nearest')
+ax.imshow(image, cmap=plt.cm.gray)
 ax.set_title('dropped spines')
 
 # Move left and bottom spines outward by 10 points
diff --git a/examples/user_interfaces/embedding_in_wx3_sgskip.py b/examples/user_interfaces/embedding_in_wx3_sgskip.py
@@ -63,7 +63,7 @@ def init_plot_data(self):
         y = np.arange(100.0) * 2 * np.pi / 50.0
         self.x, self.y = np.meshgrid(x, y)
         z = np.sin(self.x) + np.cos(self.y)
-        self.im = a.imshow(z, cmap=cm.RdBu)  # , interpolation='nearest')
+        self.im = a.imshow(z, cmap=cm.RdBu)
 
         zmax = np.max(z) - ERR_TOL
         ymax_i, xmax_i = np.nonzero(z >= zmax)
