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imshow errors due to np.sign being applied to a boolean.
np.sign
A "Minimal, Complete and Verifiable Example" will make it much easier for maintainers to help you.
import proplot as pplt import numpy as np fig, ax = pplt.subplots() ax.imshow(np.random.rand(5, 5).astype(bool))
Expected behavior: [What you expected to happen]
Actual behavior: [What actually happened]
--------------------------------------------------------------------------- UFuncTypeError Traceback (most recent call last) Cell In[9], line 2 1 fig, ax = pplt.subplots() ----> 2 ax.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) 289 ureg.setup_matplotlib(True) 291 # Call main function --> 292 return func(self, *args, **kwargs) File /u/aurora-r0/staniewi/repos/proplot/proplot/axes/plot.py:4150, in PlotAxes.imshow(self, z, **kwargs) 4146 """ 4147 %(plot.imshow)s 4148 """ 4149 kw = kwargs.copy() -> 4150 kw = self._parse_cmap(z, default_discrete=False, **kw) 4151 guide_kw = _pop_params(kw, self._update_guide) 4152 m = 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) 105 key_new = key_new.format(value) 106 _warn_proplot( 107 f'Keyword {key_old!r} was deprecated in version {version} and may ' 108 f'be removed in {_next_release()}. Please use {key_new!r} instead.' 109 ) --> 110 return func_orig(*args, **kwargs) File /u/aurora-r0/staniewi/repos/proplot/proplot/axes/plot.py:2230, in PlotAxes._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) 2226 vmin, vmax, kwargs = self._parse_level_lim( 2227 *args, vmin=vmin, vmax=vmax, **kwargs 2228 ) 2229 if autodiverging and vmin is not None and vmax is not None: -> 2230 if abs(np.sign(vmax) - np.sign(vmin)) == 2: 2231 isdiverging = True 2232 if discrete: UFuncTypeError: ufunc 'sign' did not contain a loop with signature matching types <class 'numpy.dtype[bool_]'> -> None
# your code here, if applicable import matplotlib.pyplot as plt import numpy as np fig, ax = plt.subplots() ax.imshow(np.random.rand(5, 5).astype(bool))
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)
>>> 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)
The text was updated successfully, but these errors were encountered:
fix: convert bool to np.uint8 in _to_numpy_array
np.uint8
_to_numpy_array
947f252
This fixes proplot-dev#409
I'm not sure if this is the best way to fix it, but adding a simple conversion to uint8 like #410 stops the error
uint8
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Description
imshow
errors due tonp.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.
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)
The text was updated successfully, but these errors were encountered: