Disable `DiscreteNorm` by default for `imshow` plots?

Description

In all the examples available for this package and in my tests, the colorbar maximum number of bins is fixed to 10. There is doesn’t seem to by any to changing this

Steps to reproduce

A “Minimal, Complete and Verifiable Example” will make it much easier for maintainers to help you.

fig, ax = proplot.subplots()
pc = plt.imshow(p.image, extent=[file.bounds[0], file.bounds[1], file.bounds[2], file.bounds[3]], cmap=my_cmap, vmin=0.5, vmax=1.5)
plt.colorbar(pc, ax=ax)
ax.set_xlim([0, 1])
ax.set_ylim([0, 1])
ax.set_xlabel(r"$x/R$")
ax.set_ylabel(r"$y/R$")
plt.show()

Actual behavior: [What actually happened]

Equivalent steps in matplotlib

Please make sure this bug is related to a specific proplot feature. If you’re not sure, try to replicate it with the native matplotlib API. Matplotlib bugs belong on the matplotlib github page.

fig, ax = plt.subplots()
pc = plt.imshow(p.image, extent=[file.bounds[0], file.bounds[1], file.bounds[2], file.bounds[3]], cmap=my_cmap, vmin=0.5, vmax=1.5)
plt.colorbar(pc, ax=ax)
ax.set_xlim([0, 1])
ax.set_ylim([0, 1])
ax.set_xlabel(r"$x/R$")
ax.set_ylabel(r"$y/R$")
plt.show()

[lukelbd]

This is now fixed! See #233. You can use discrete=False or discrete=True to enable or disable application of DiscreteNorm for different plots, and it is diabled by default for most commands: imshow, matshow, scatter, barbs, quiver, streamplot, hexbin.

[pratiman-91]

This might be help: Default is rc[‘image.levels’] = 11. You can change here.