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DOC: more pcolor fixes #16504

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Merged
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Mar 9, 2020
Merged

DOC: more pcolor fixes #16504

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8 changes: 4 additions & 4 deletions examples/specialty_plots/leftventricle_bulleye.py
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Original file line number Diff line number Diff line change
Expand Up @@ -79,7 +79,7 @@ def bullseye_plot(ax, data, seg_bold=None, cmap=None, norm=None):
theta0 = theta[i * 128:i * 128 + 128] + np.deg2rad(60)
theta0 = np.repeat(theta0[:, np.newaxis], 2, axis=1)
z = np.ones((128, 2)) * data[i]
ax.pcolormesh(theta0, r0, z, cmap=cmap, norm=norm)
ax.pcolormesh(theta0, r0, z, cmap=cmap, norm=norm, shading='auto')
if i + 1 in seg_bold:
ax.plot(theta0, r0, '-k', lw=linewidth + 2)
ax.plot(theta0[0], [r[2], r[3]], '-k', lw=linewidth + 1)
Expand All @@ -93,7 +93,7 @@ def bullseye_plot(ax, data, seg_bold=None, cmap=None, norm=None):
theta0 = theta[i * 128:i * 128 + 128] + np.deg2rad(60)
theta0 = np.repeat(theta0[:, np.newaxis], 2, axis=1)
z = np.ones((128, 2)) * data[i + 6]
ax.pcolormesh(theta0, r0, z, cmap=cmap, norm=norm)
ax.pcolormesh(theta0, r0, z, cmap=cmap, norm=norm, shading='auto')
if i + 7 in seg_bold:
ax.plot(theta0, r0, '-k', lw=linewidth + 2)
ax.plot(theta0[0], [r[1], r[2]], '-k', lw=linewidth + 1)
Expand All @@ -107,7 +107,7 @@ def bullseye_plot(ax, data, seg_bold=None, cmap=None, norm=None):
theta0 = theta[i * 192:i * 192 + 192] + np.deg2rad(45)
theta0 = np.repeat(theta0[:, np.newaxis], 2, axis=1)
z = np.ones((192, 2)) * data[i + 12]
ax.pcolormesh(theta0, r0, z, cmap=cmap, norm=norm)
ax.pcolormesh(theta0, r0, z, cmap=cmap, norm=norm, shading='auto')
if i + 13 in seg_bold:
ax.plot(theta0, r0, '-k', lw=linewidth + 2)
ax.plot(theta0[0], [r[0], r[1]], '-k', lw=linewidth + 1)
Expand All @@ -119,7 +119,7 @@ def bullseye_plot(ax, data, seg_bold=None, cmap=None, norm=None):
r0 = np.repeat(r0[:, np.newaxis], theta.size, axis=1).T
theta0 = np.repeat(theta[:, np.newaxis], 2, axis=1)
z = np.ones((theta.size, 2)) * data[16]
ax.pcolormesh(theta0, r0, z, cmap=cmap, norm=norm)
ax.pcolormesh(theta0, r0, z, cmap=cmap, norm=norm, shading='auto')
if 17 in seg_bold:
ax.plot(theta0, r0, '-k', lw=linewidth + 2)

Expand Down
2 changes: 1 addition & 1 deletion examples/subplots_axes_and_figures/axes_margins.py
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Expand Up @@ -62,7 +62,7 @@ def f(t):
ax2.use_sticky_edges = False

for ax, status in zip((ax1, ax2), ('Is', 'Is Not')):
cells = ax.pcolor(x, y, x+y, cmap='inferno') # sticky
cells = ax.pcolor(x, y, x+y, cmap='inferno', shading='auto') # sticky
ax.add_patch(
plt.Polygon(poly_coords, color='forestgreen', alpha=0.5)
) # not sticky
Expand Down
44 changes: 0 additions & 44 deletions examples/userdemo/colormap_normalizations_bounds.py
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50 changes: 0 additions & 50 deletions examples/userdemo/colormap_normalizations_custom.py
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44 changes: 0 additions & 44 deletions examples/userdemo/colormap_normalizations_diverging.py
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35 changes: 0 additions & 35 deletions examples/userdemo/colormap_normalizations_lognorm.py
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32 changes: 0 additions & 32 deletions examples/userdemo/colormap_normalizations_power.py
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28 changes: 13 additions & 15 deletions tutorials/colors/colormapnorms.py
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Original file line number Diff line number Diff line change
Expand Up @@ -62,10 +62,10 @@

pcm = ax[0].pcolor(X, Y, Z,
norm=colors.LogNorm(vmin=Z.min(), vmax=Z.max()),
cmap='PuBu_r')
cmap='PuBu_r', shading='auto')
fig.colorbar(pcm, ax=ax[0], extend='max')

pcm = ax[1].pcolor(X, Y, Z, cmap='PuBu_r')
pcm = ax[1].pcolor(X, Y, Z, cmap='PuBu_r', shading='auto')
fig.colorbar(pcm, ax=ax[1], extend='max')
plt.show()

Expand Down Expand Up @@ -99,10 +99,10 @@
pcm = ax[0].pcolormesh(X, Y, Z,
norm=colors.SymLogNorm(linthresh=0.03, linscale=0.03,
vmin=-1.0, vmax=1.0, base=10),
cmap='RdBu_r')
cmap='RdBu_r', shading='auto')
fig.colorbar(pcm, ax=ax[0], extend='both')

pcm = ax[1].pcolormesh(X, Y, Z, cmap='RdBu_r', vmin=-np.max(Z))
pcm = ax[1].pcolormesh(X, Y, Z, cmap='RdBu_r', vmin=-np.max(Z), shading='auto')
fig.colorbar(pcm, ax=ax[1], extend='both')
plt.show()

Expand Down Expand Up @@ -131,10 +131,10 @@
fig, ax = plt.subplots(2, 1)

pcm = ax[0].pcolormesh(X, Y, Z1, norm=colors.PowerNorm(gamma=0.5),
cmap='PuBu_r')
cmap='PuBu_r', shading='auto')
fig.colorbar(pcm, ax=ax[0], extend='max')

pcm = ax[1].pcolormesh(X, Y, Z1, cmap='PuBu_r')
pcm = ax[1].pcolormesh(X, Y, Z1, cmap='PuBu_r', shading='auto')
fig.colorbar(pcm, ax=ax[1], extend='max')
plt.show()

Expand Down Expand Up @@ -171,18 +171,16 @@
# even bounds gives a contour-like effect
bounds = np.linspace(-1, 1, 10)
norm = colors.BoundaryNorm(boundaries=bounds, ncolors=256)
pcm = ax[0].pcolormesh(X, Y, Z,
norm=norm,
cmap='RdBu_r')
pcm = ax[0].pcolormesh(X, Y, Z, norm=norm, cmap='RdBu_r', shading='auto')
fig.colorbar(pcm, ax=ax[0], extend='both', orientation='vertical')

# uneven bounds changes the colormapping:
bounds = np.array([-0.25, -0.125, 0, 0.5, 1])
norm = colors.BoundaryNorm(boundaries=bounds, ncolors=256)
pcm = ax[1].pcolormesh(X, Y, Z, norm=norm, cmap='RdBu_r')
pcm = ax[1].pcolormesh(X, Y, Z, norm=norm, cmap='RdBu_r', shading='auto')
fig.colorbar(pcm, ax=ax[1], extend='both', orientation='vertical')

pcm = ax[2].pcolormesh(X, Y, Z, cmap='RdBu_r', vmin=-np.max(Z))
pcm = ax[2].pcolormesh(X, Y, Z, cmap='RdBu_r', vmin=-np.max(Z), shading='auto')
fig.colorbar(pcm, ax=ax[2], extend='both', orientation='vertical')
plt.show()

Expand Down Expand Up @@ -217,8 +215,8 @@
# dynamic range:
divnorm = colors.TwoSlopeNorm(vmin=-500., vcenter=0, vmax=4000)

pcm = ax.pcolormesh(
longitude, latitude, topo, rasterized=True, norm=divnorm, cmap=terrain_map)
pcm = ax.pcolormesh(longitude, latitude, topo, rasterized=True, norm=divnorm,
cmap=terrain_map, shading='auto')
# Simple geographic plot, set aspect ratio beecause distance between lines of
# longitude depends on latitude.
ax.set_aspect(1 / np.cos(np.deg2rad(49)))
Expand Down Expand Up @@ -248,8 +246,8 @@ def __call__(self, value, clip=None):
fig, ax = plt.subplots()
midnorm = MidpointNormalize(vmin=-500., vcenter=0, vmax=4000)

pcm = ax.pcolormesh(
longitude, latitude, topo, rasterized=True, norm=midnorm, cmap=terrain_map)
pcm = ax.pcolormesh(longitude, latitude, topo, rasterized=True, norm=midnorm,
cmap=terrain_map, shading='auto')
ax.set_aspect(1 / np.cos(np.deg2rad(49)))
fig.colorbar(pcm, shrink=0.6, extend='both')
plt.show()