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Description
Bug report
Bug summary
Axes.imshow draws invalid color at cells which value is 0 when max value of parameter 'X' is not equal to parameter 'vmax'
Code for reproduction
importmatplotlib.pyplotaspltimportmatplotlib.tickerastickerimportnumpyasnpcmap=plt.cm.get_cmap('autumn_r')cmap.set_under(color='lightgrey')fig=plt.figure()ax=fig.add_subplot()ax.grid(which='major',color='white',linestyle='dotted',alpha=0.7)ax.grid(which='minor',color='white',linestyle='dotted',alpha=0.5)data=np.array([[-1,-1,-1,0,0,0,0,43,79,95,66,1,-1,-1,-1,0,0,0,34]])# data = np.array([[-1, -1, -1, 0, 0, 0, 0, 43, 79, 100, 66, 1, -1, -1, -1, 0, 0, 0, 34]])im=ax.imshow(data,aspect='auto',cmap=cmap,vmin=0,vmax=100)ax.xaxis.set_major_locator(ticker.MultipleLocator())ax.set_yticks([0])fig.colorbar(im)plt.show()
Actual outcome
I expect yellow at cells 3, 4, 5, 6, 15, 16, 17. but they are grey.
Expected outcome
if using commented data(max(data) == vmax), got output below. that is valid.
Matplotlib version
- Operating system: Windows10
- Matplotlib version: 3.1.3
- Matplotlib backend (
print(matplotlib.get_backend())): TkAgg - Python version: 3.7.4