Example/tutorials warn due to new pcolormesh shading

[QuLogic]

The new warning introduced in #16258 is now being triggered by several examples, and the tutorials. At least for the latter, I assume we don't want to go through and just do a blanket Z[:-1, :-1], but instead take a more nuanced approach. Though possibly not; I have not looked at the issues yet, but I don't want to forget about this.

[jklymak]

We probably want to change to shading='auto' for these.

[jklymak]

Did you track which ones have the warning?

[jklymak]

I found one. Are there more?

[jklymak]

Re-opening in case there are more...

[QuLogic]

Here is the list:

• /matplotlib/examples/userdemo/colormap_normalizations_bounds.py:38
• /matplotlib/examples/userdemo/colormap_normalizations_bounds.py:41
• /matplotlib/examples/userdemo/colormap_normalizations_custom.py:44
• /matplotlib/examples/userdemo/colormap_normalizations_custom.py:47
• /matplotlib/examples/userdemo/colormap_normalizations_diverging.py:39
• /matplotlib/examples/userdemo/colormap_normalizations_lognorm.py:29
• /matplotlib/examples/userdemo/colormap_normalizations_lognorm.py:32
• /matplotlib/examples/userdemo/colormap_normalizations_power.py:26
• /matplotlib/examples/userdemo/colormap_normalizations_power.py:29
• /matplotlib/examples/userdemo/colormap_normalizations_symlognorm.py:33
• /matplotlib/examples/userdemo/colormap_normalizations_symlognorm.py:36
• /matplotlib/tutorials/colors/colormapnorms.py:65
• /matplotlib/tutorials/colors/colormapnorms.py:68
• /matplotlib/tutorials/colors/colormapnorms.py:102
• /matplotlib/tutorials/colors/colormapnorms.py:105
• /matplotlib/tutorials/colors/colormapnorms.py:134
• /matplotlib/tutorials/colors/colormapnorms.py:137
• /matplotlib/tutorials/colors/colormapnorms.py:176
• /matplotlib/tutorials/colors/colormapnorms.py:182
• /matplotlib/tutorials/colors/colormapnorms.py:185
• /matplotlib/tutorials/colors/colormapnorms.py:221
• /matplotlib/tutorials/colors/colormapnorms.py:252
• matplotlib/examples/images_contours_and_fields/pcolormesh_grids.py:66
• matplotlib/examples/images_contours_and_fields/pcolormesh_levels.py:67
• matplotlib/examples/specialty_plots/leftventricle_bulleye.py:82
• matplotlib/examples/specialty_plots/leftventricle_bulleye.py:96
• matplotlib/examples/specialty_plots/leftventricle_bulleye.py:110
• matplotlib/examples/specialty_plots/leftventricle_bulleye.py:122
• matplotlib/examples/subplots_axes_and_figures/axes_margins.py:65
• matplotlib/examples/userdemo/colormap_normalizations.py:32
• matplotlib/examples/userdemo/colormap_normalizations.py:35
• matplotlib/examples/userdemo/colormap_normalizations.py:49
• matplotlib/examples/userdemo/colormap_normalizations.py:52
• matplotlib/examples/userdemo/colormap_normalizations.py:73
• matplotlib/examples/userdemo/colormap_normalizations.py:76
• matplotlib/examples/userdemo/colormap_normalizations.py:111
• matplotlib/examples/userdemo/colormap_normalizations.py:114
• matplotlib/examples/userdemo/colormap_normalizations.py:129
• matplotlib/examples/userdemo/colormap_normalizations.py:135
• matplotlib/examples/userdemo/colormap_normalizations.py:138
• matplotlib/examples/userdemo/colormap_normalizations_bounds.py:32

I believe you fixed:

• matplotlib/examples/images_contours_and_fields/pcolor_demo.py:100
• matplotlib/examples/images_contours_and_fields/pcolor_demo.py:103