Movatterモバイル変換


[0]ホーム

URL:


Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Sign up
Appearance settings

[Bug]: Deprecation warning from numpy when setting limits on categorical axis with categories #26596

Closed
@mwaskom

Description

@mwaskom

Bug summary

I am seeing a deprecation warning coming out of numpy in my tests. It's triggered from within matplotlib when I set the limits on a categorical axis using categorical values.

It is fundamentally the same issue as#25744. That was a case where a user was passing an array where matplotlib expected a scalar, and closed (which is reasonable).

My case is a bit different. I'm honestly not sure if matplotlib expects this to work, but it currently does.

Code for reproduction

importmatplotlib.pyplotaspltimportwarningswarnings.simplefilter("always",DeprecationWarning)f,ax=plt.subplots()ax.plot(["a","b","c","d"], [1,2,3,4])ax.set(xlim=("b","c"))

Actual outcome

/Users/mwaskom/miniconda/envs/py310/lib/python3.10/site-packages/matplotlib/transforms.py:2855: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)  vmin, vmax = map(float, [vmin, vmax])

When converted to an error, I see this traceback:

---------------------------------------------------------------------------DeprecationWarning                        Traceback (most recent call last)Cell In [118], line 64 f, ax= plt.subplots()5 ax.plot(["a","b","c","d"], [1,2,3,4])----> 6 ax.set(xlim=("b", "c"))File ~/miniconda/envs/py310/lib/python3.10/site-packages/matplotlib/artist.py:147, in Artist.__init_subclass__.<locals>.<lambda>(self, **kwargs)139ifnothasattr(cls.set,'_autogenerated_signature'):140# Don't overwrite cls.set if the subclass or one of its parents141# has defined a set method set itself.142# If there was no explicit definition, cls.set is inherited from143# the hierarchy of auto-generated set methods, which hold the144# flag _autogenerated_signature.145return--> 147 cls.set = lambda self, **kwargs: Artist.set(self, **kwargs)148cls.set.__name__="set"149cls.set.__qualname__=f"{cls.__qualname__}.set"File ~/miniconda/envs/py310/lib/python3.10/site-packages/matplotlib/artist.py:1226, in Artist.set(self, **kwargs)   1222 def set(self, **kwargs):   1223     # docstring and signature are auto-generated via   1224     # Artist._update_set_signature_and_docstring() at the end of the   1225     # module.-> 1226     return self._internal_update(cbook.normalize_kwargs(kwargs, self))File ~/miniconda/envs/py310/lib/python3.10/site-packages/matplotlib/artist.py:1218, in Artist._internal_update(self, kwargs)   1211 def _internal_update(self, kwargs):   1212     """   1213     Update artist properties without prenormalizing them, but generating   1214     errors as if calling `set`.   1215    1216     The lack of prenormalization is to maintain backcompatibility.   1217     """-> 1218     return self._update_props(   1219         kwargs, "{cls.__name__}.set() got an unexpected keyword argument "   1220         "{prop_name!r}")File ~/miniconda/envs/py310/lib/python3.10/site-packages/matplotlib/artist.py:1194, in Artist._update_props(self, props, errfmt)   1191             if not callable(func):   1192                 raise AttributeError(   1193                     errfmt.format(cls=type(self), prop_name=k))-> 1194             ret.append(func(v))   1195 if ret:   1196     self.pchanged()File ~/miniconda/envs/py310/lib/python3.10/site-packages/matplotlib/axes/_base.py:3646, in _AxesBase.set_xlim(self, left, right, emit, auto, xmin, xmax)   3644         raise TypeError("Cannot pass both 'right' and 'xmax'")   3645     right = xmax-> 3646 return self.xaxis._set_lim(left, right, emit=emit, auto=auto)File ~/miniconda/envs/py310/lib/python3.10/site-packages/matplotlib/axis.py:1239, in Axis._set_lim(self, v0, v1, emit, auto)   1235     _api.warn_external(   1236         f"Attempting to set identical low and high {name}lims "   1237         f"makes transformation singular; automatically expanding.")   1238 reverse = bool(v0 > v1)  # explicit cast needed for python3.8+np.bool_.-> 1239 v0, v1 = self.get_major_locator().nonsingular(v0, v1)   1240 v0, v1 = self.limit_range_for_scale(v0, v1)   1241 v0, v1 = sorted([v0, v1], reverse=bool(reverse))File ~/miniconda/envs/py310/lib/python3.10/site-packages/matplotlib/ticker.py:1649, in Locator.nonsingular(self, v0, v1)   1635 def nonsingular(self, v0, v1):   1636     """   1637     Adjust a range as needed to avoid singularities.   1638    (...)   1647     - Otherwise, ``(v0, v1)`` is returned without modification.   1648     """-> 1649     return mtransforms.nonsingular(v0, v1, expander=.05)File ~/miniconda/envs/py310/lib/python3.10/site-packages/matplotlib/transforms.py:2855, in nonsingular(vmin, vmax, expander, tiny, increasing)   2851     swapped = True   2853 # Expand vmin, vmax to float: if they were integer types, they can wrap   2854 # around in abs (abs(np.int8(-128)) == -128) and vmax - vmin can overflow.-> 2855 vmin, vmax = map(float, [vmin, vmax])   2857 maxabsvalue = max(abs(vmin), abs(vmax))   2858 if maxabsvalue < (1e6 / tiny) * np.finfo(float).tiny:DeprecationWarning:Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)

Expected outcome

No warning. Alternatively, if matplotlib does not consider this proper use of the API, you could formally deprecating it and then handle + raise, to avoid a confusing error once the numpy deprecation is enacted.

Additional information

No response

Operating system

No response

Matplotlib Version

3.8.0.rc1

Matplotlib Backend

No response

Python version

No response

Jupyter version

No response

Installation

None

Metadata

Metadata

Assignees

No one assigned

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions


      [8]ページ先頭

      ©2009-2025 Movatter.jp