Bug summary

Plotting an equal numpy.array of dtype float64 and float32 with pyplot.imshow and a defined colors.LogNorm as norm will produce different colors in the resulting image.

Code for reproduction

importmatplotlib.pyplotaspltimportmatplotlib.colorsascolorsimportnumpyasnpnorm=colors.LogNorm(vmin=1e-10,vmax=1)test_numpy=np.array([[1e-4]])test_numpy_32=np.array([[1e-4]],dtype=np.float32)fortestin [test_numpy,test_numpy_32]:plt.imshow(test,norm=norm)plt.title(f"numpy array of dtype:{test.dtype}")plt.colorbar()plt.show()

Actual outcome

The resulting plot for the dtype float64 numpy.array looks like this:

and the plot for the dtype float32 numpy.array looks like this:

Expected outcome

I would expect both outputs to have the same color.

Additional information

No response

Operating system

Arch

Matplotlib Version

3.9.1.post1

Matplotlib Backend

module://matplotlib_inline.backend_inline

Python version

Python 3.12.4

Jupyter version

No response

Installation

pip