Bug summary

There is a strange change on the behavior of the line style specifiers of thehist method inmatplotlib when moving from version 3.9.0 to 3.10.1. It seems like thelinestyle andls arguments are behaving differently. In addition, it is no longer possible to specify a customized line style for histograms via a tuplels=(0, (1, 10)). This is not the case for theplot method.

Inmatplotlib 3.9.0:

Inmatplotlib 3.10.1:

Using thelinestyle argument with(0, (1, 10)) as a value leads to the following error

ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (2,) + inhomogeneous part.

Note that when usingls there is no error, but the result is not what we would expect.

Code for reproduction

importmatplotlib.pyplotaspltimportnumpyasnpx=np.random.normal(0,1,10_000)fig, ((ax0,ax1), (ax2,ax3))=plt.subplots(2,2,figsize=(8,8))ax0.plot(x,x,ls=(0, (1,10)),lw=2)ax0.set_title("scatter plot (ls)")ax1.plot(x,x,linestyle=(0, (1,10)),lw=2)ax1.set_title("scatter plot (linestyle)")# this does not display any error, but the histogram is incorrectax2.hist(x,bins=10,range=(-5,+5),ls=(0, (1,10)),histtype="step",lw=2)ax2.set_title("hist (ls)")# this gives an error in 3.10.1ax3.hist(x,bins=10,range=(-5,+5),linestyle=(0, (1,10)),histtype="step",lw=2)ax3.set_title("hist (linestyle)")plt.show()

Actual outcome

ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (2,) + inhomogeneous part.

Expected outcome

Additional information

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Operating system

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Matplotlib Version

3.10.1

Matplotlib Backend

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Python version

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Jupyter version

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Installation

None