Closed
Description
Bug summary
I am not sure if this is a bug or an optimization, but in most cases it is fine to plot bars of arrays containing NaN (only the NaN values are not displayed, the rest is ok).
Here I found that when the x array or the bottom array have NaNs at the extremities, no bar is displayed.
(barh has the same behavior).
Code for reproduction
import numpy as np, matplotlib as mpl, matplotlib.pyplot as plt
barx = np.arange(3, dtype=float)
barheights = np.array([0.5, 1.5, 2.0])
barstarts=np.array([0.77]*3)
barx[[0,2]] = np.NaN
# alternatively:
#barstarts[[0,2]] = np.NaN
fig, ax = plt.subplots()
ax.bar(barx, barheights, bottom=barstarts)
# Not ok, nothing shown!
# Same behavior with ax.barh:
ax.barh(barx, barheights, left=barstarts)
# However, the behavior is correct when NaN only affect the 'heights' argument:
fig, ax = plt.subplots()
ax.bar(np.arange(3), np.array([np.NaN, 1, np.NaN]), bottom=np.array([0.2, 0.3, 0.4]))
# OK, one bar is displayed.Actual outcome
zero bar displayed
Expected outcome
Non-NaN elements should be shown
Additional information
No response
Operating system
Ubuntu 20.04.3
Matplotlib Version
3.5.3
Matplotlib Backend
TkAgg, pdf
Python version
3.8.10
Jupyter version
ipython
Installation
pip