Compatible with norm colorbar ticks in matplotlib3.5+

Description

The ticks of colorbar for manual levels are wrong for matplotlib3.5+.

Steps to reproduce

import proplot as pplt
import matplotlib
import numpy as np

crf_bounds = np.array([0, 0.7, 0.75, 0.8, 0.85, 0.9, 0.95, 0.97, 0.98, 0.99, 1.0])
norm = matplotlib.colors.BoundaryNorm(boundaries=crf_bounds, ncolors=256)

x = y = np.array([-10, -5, 0, 5, 10])
np.random.seed(20)
data = np.random.uniform(0,1,(4,4))

fig, axs = pplt.subplots()
m = axs.pcolormesh(x, y, data, cmap='RdYlGn', norm=norm)
axs.colorbar([m])

Expected behavior: [What you expected to happen]

Actual behavior: [What actually happened]

Equivalent steps in matplotlib

import matplotlib
import numpy as np
import matplotlib.pyplot as plt

crf_bounds = np.array([0, 0.7, 0.75, 0.8, 0.85, 0.9, 0.95, 0.97, 0.98, 0.99, 1.0])
norm = matplotlib.colors.BoundaryNorm(boundaries=crf_bounds, ncolors=256)

x = y = np.array([-10, -5, 0, 5, 10])
np.random.seed(20)
data = np.random.uniform(0,1,(4,4))

plt.pcolormesh(x, y, data, cmap='RdYlGn', norm=norm)
plt.colorbar()

Proplot version

Paste the results of import matplotlib; print(matplotlib.__version__); import proplot; print(proplot.version)here.

3.5.1
0.9.5.post105

[lukelbd]

Lol… had just decided to not be lazy and submit an issue myself (matplotlib/matplotlib#22232). Will delete it.

[zxdawn]

Thanks, Luke. Created the issue.