Description
imshow errors due to np.sign being applied to a boolean.
Steps to reproduce
A "Minimal, Complete and Verifiable Example" will make it much easier for maintainers to help you.
importproplotasppltimportnumpyasnpfig, ax=pplt.subplots()
ax.imshow(np.random.rand(5, 5).astype(bool))
Expected behavior: [What you expected to happen]
Actual behavior: [What actually happened]
---------------------------------------------------------------------------UFuncTypeErrorTraceback (mostrecentcalllast)
CellIn[9], line21fig, ax=pplt.subplots()
---->2ax.imshow(np.random.rand(5, 5).astype(bool))
File/u/aurora-r0/staniewi/repos/proplot/proplot/internals/inputs.py:292, in_preprocess_or_redirect.<locals>._decorator.<locals>._preprocess_or_redirect(self, *args, **kwargs)
289ureg.setup_matplotlib(True)
291# Call main function-->292returnfunc(self, *args, **kwargs)
File/u/aurora-r0/staniewi/repos/proplot/proplot/axes/plot.py:4150, inPlotAxes.imshow(self, z, **kwargs)
4146""" 4147 %(plot.imshow)s 4148 """4149kw=kwargs.copy()
->4150kw=self._parse_cmap(z, default_discrete=False, **kw)
4151guide_kw=_pop_params(kw, self._update_guide)
4152m=self._call_native('imshow', z, **kw)
File/u/aurora-r0/staniewi/repos/proplot/proplot/internals/warnings.py:110, in_rename_kwargs.<locals>._decorator.<locals>._deprecate_kwargs_wrapper(*args, **kwargs)
105key_new=key_new.format(value)
106_warn_proplot(
107f'Keyword {key_old!r} was deprecated in version {version} and may '108f'be removed in {_next_release()}. Please use {key_new!r} instead.'109 )
-->110returnfunc_orig(*args, **kwargs)
File/u/aurora-r0/staniewi/repos/proplot/proplot/axes/plot.py:2230, inPlotAxes._parse_cmap(self, cmap, cmap_kw, c, color, colors, norm, norm_kw, extend, vmin, vmax, vcenter, discrete, default_discrete, default_cmap, skip_autolev, min_levels, plot_lines, plot_contours, *args, **kwargs)
2226vmin, vmax, kwargs=self._parse_level_lim(
2227*args, vmin=vmin, vmax=vmax, **kwargs2228 )
2229ifautodivergingandvminisnotNoneandvmaxisnotNone:
->2230ifabs(np.sign(vmax) -np.sign(vmin)) ==2:
2231isdiverging=True2232ifdiscrete:
UFuncTypeError: ufunc'sign'didnotcontainaloopwithsignaturematchingtypes<class'numpy.dtype[bool_]'>->NoneEquivalent steps in matplotlib
# your code here, if applicableimportmatplotlib.pyplotaspltimportnumpyasnpfig, ax=plt.subplots()
ax.imshow(np.random.rand(5, 5).astype(bool))
Proplot version
Paste the results of import matplotlib; print(matplotlib.__version__); import proplot; print(proplot.version) here.
>>> import matplotlib; print(matplotlib.__version__); import proplot; print(proplot.version)
3.4.3
0.0.post4012
(I just forked the latest. Seems like the tags aren't visible, so setuptools_scm doesn't like it)
Description
imshowerrors due tonp.signbeing applied to a boolean.Steps to reproduce
A "Minimal, Complete and Verifiable Example" will make it much easier for maintainers to help you.
Expected behavior: [What you expected to happen]
Actual behavior: [What actually happened]
Equivalent steps in matplotlib
Proplot version
Paste the results of
import matplotlib; print(matplotlib.__version__); import proplot; print(proplot.version)here.(I just forked the latest. Seems like the tags aren't visible, so setuptools_scm doesn't like it)