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

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

norm = colors.LogNorm(vmin=1e-10, vmax=1)
test_numpy = np.array([[1e-4]])
test_numpy_32 = np.array([[1e-4]], dtype=np.float32)

for test in [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