1517 lines
52 KiB
Python
1517 lines
52 KiB
Python
"""
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An object-oriented plotting library.
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A procedural interface is provided by the companion pyplot module,
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which may be imported directly, e.g.::
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import matplotlib.pyplot as plt
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or using ipython::
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ipython
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at your terminal, followed by::
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In [1]: %matplotlib
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In [2]: import matplotlib.pyplot as plt
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at the ipython shell prompt.
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For the most part, direct use of the explicit object-oriented library is
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encouraged when programming; the implicit pyplot interface is primarily for
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working interactively. The exceptions to this suggestion are the pyplot
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functions `.pyplot.figure`, `.pyplot.subplot`, `.pyplot.subplots`, and
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`.pyplot.savefig`, which can greatly simplify scripting. See
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:ref:`api_interfaces` for an explanation of the tradeoffs between the implicit
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and explicit interfaces.
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Modules include:
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:mod:`matplotlib.axes`
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The `~.axes.Axes` class. Most pyplot functions are wrappers for
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`~.axes.Axes` methods. The axes module is the highest level of OO
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access to the library.
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:mod:`matplotlib.figure`
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The `.Figure` class.
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:mod:`matplotlib.artist`
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The `.Artist` base class for all classes that draw things.
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:mod:`matplotlib.lines`
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The `.Line2D` class for drawing lines and markers.
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:mod:`matplotlib.patches`
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Classes for drawing polygons.
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:mod:`matplotlib.text`
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The `.Text` and `.Annotation` classes.
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:mod:`matplotlib.image`
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The `.AxesImage` and `.FigureImage` classes.
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:mod:`matplotlib.collections`
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Classes for efficient drawing of groups of lines or polygons.
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:mod:`matplotlib.colors`
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Color specifications and making colormaps.
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:mod:`matplotlib.cm`
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Colormaps, and the `.ScalarMappable` mixin class for providing color
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mapping functionality to other classes.
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:mod:`matplotlib.ticker`
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Calculation of tick mark locations and formatting of tick labels.
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:mod:`matplotlib.backends`
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A subpackage with modules for various GUI libraries and output formats.
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The base matplotlib namespace includes:
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`~matplotlib.rcParams`
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Default configuration settings; their defaults may be overridden using
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a :file:`matplotlibrc` file.
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`~matplotlib.use`
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Setting the Matplotlib backend. This should be called before any
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figure is created, because it is not possible to switch between
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different GUI backends after that.
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The following environment variables can be used to customize the behavior:
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:envvar:`MPLBACKEND`
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This optional variable can be set to choose the Matplotlib backend. See
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:ref:`what-is-a-backend`.
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:envvar:`MPLCONFIGDIR`
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This is the directory used to store user customizations to
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Matplotlib, as well as some caches to improve performance. If
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:envvar:`MPLCONFIGDIR` is not defined, :file:`{HOME}/.config/matplotlib`
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and :file:`{HOME}/.cache/matplotlib` are used on Linux, and
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:file:`{HOME}/.matplotlib` on other platforms, if they are
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writable. Otherwise, the Python standard library's `tempfile.gettempdir`
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is used to find a base directory in which the :file:`matplotlib`
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subdirectory is created.
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Matplotlib was initially written by John D. Hunter (1968-2012) and is now
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developed and maintained by a host of others.
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Occasionally the internal documentation (python docstrings) will refer
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to MATLAB®, a registered trademark of The MathWorks, Inc.
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"""
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__all__ = [
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"__bibtex__",
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"__version__",
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"__version_info__",
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"set_loglevel",
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"ExecutableNotFoundError",
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"get_configdir",
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"get_cachedir",
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"get_data_path",
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"matplotlib_fname",
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"MatplotlibDeprecationWarning",
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"RcParams",
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"rc_params",
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"rc_params_from_file",
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"rcParamsDefault",
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"rcParams",
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"rcParamsOrig",
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"defaultParams",
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"rc",
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"rcdefaults",
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"rc_file_defaults",
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"rc_file",
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"rc_context",
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"use",
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"get_backend",
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"interactive",
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"is_interactive",
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"colormaps",
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"color_sequences",
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]
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import atexit
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from collections import namedtuple
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from collections.abc import MutableMapping
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import contextlib
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import functools
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import importlib
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import inspect
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from inspect import Parameter
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import locale
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import logging
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import os
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from pathlib import Path
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import pprint
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import re
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import shutil
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import subprocess
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import sys
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import tempfile
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from packaging.version import parse as parse_version
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# cbook must import matplotlib only within function
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# definitions, so it is safe to import from it here.
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from . import _api, _version, cbook, _docstring, rcsetup
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from matplotlib.cbook import sanitize_sequence
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from matplotlib._api import MatplotlibDeprecationWarning
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from matplotlib.rcsetup import cycler # noqa: F401
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from matplotlib.rcsetup import validate_backend
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_log = logging.getLogger(__name__)
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__bibtex__ = r"""@Article{Hunter:2007,
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Author = {Hunter, J. D.},
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Title = {Matplotlib: A 2D graphics environment},
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Journal = {Computing in Science \& Engineering},
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Volume = {9},
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Number = {3},
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Pages = {90--95},
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abstract = {Matplotlib is a 2D graphics package used for Python
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for application development, interactive scripting, and
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publication-quality image generation across user
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interfaces and operating systems.},
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publisher = {IEEE COMPUTER SOC},
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year = 2007
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}"""
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# modelled after sys.version_info
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_VersionInfo = namedtuple('_VersionInfo',
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'major, minor, micro, releaselevel, serial')
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def _parse_to_version_info(version_str):
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"""
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Parse a version string to a namedtuple analogous to sys.version_info.
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See:
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https://packaging.pypa.io/en/latest/version.html#packaging.version.parse
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https://docs.python.org/3/library/sys.html#sys.version_info
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"""
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v = parse_version(version_str)
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if v.pre is None and v.post is None and v.dev is None:
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return _VersionInfo(v.major, v.minor, v.micro, 'final', 0)
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elif v.dev is not None:
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return _VersionInfo(v.major, v.minor, v.micro, 'alpha', v.dev)
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elif v.pre is not None:
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releaselevel = {
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'a': 'alpha',
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'b': 'beta',
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'rc': 'candidate'}.get(v.pre[0], 'alpha')
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return _VersionInfo(v.major, v.minor, v.micro, releaselevel, v.pre[1])
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else:
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# fallback for v.post: guess-next-dev scheme from setuptools_scm
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return _VersionInfo(v.major, v.minor, v.micro + 1, 'alpha', v.post)
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def _get_version():
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"""Return the version string used for __version__."""
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# Only shell out to a git subprocess if really needed, i.e. when we are in
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# a matplotlib git repo but not in a shallow clone, such as those used by
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# CI, as the latter would trigger a warning from setuptools_scm.
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root = Path(__file__).resolve().parents[2]
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if ((root / ".matplotlib-repo").exists()
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and (root / ".git").exists()
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and not (root / ".git/shallow").exists()):
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try:
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import setuptools_scm
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except ImportError:
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pass
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else:
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return setuptools_scm.get_version(
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root=root,
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version_scheme="release-branch-semver",
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local_scheme="node-and-date",
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fallback_version=_version.version,
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)
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# Get the version from the _version.py file if not in repo or setuptools_scm is
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# unavailable.
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return _version.version
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@_api.caching_module_getattr
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class __getattr__:
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__version__ = property(lambda self: _get_version())
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__version_info__ = property(
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lambda self: _parse_to_version_info(self.__version__))
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def _check_versions():
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# Quickfix to ensure Microsoft Visual C++ redistributable
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# DLLs are loaded before importing kiwisolver
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from . import ft2font # noqa: F401
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for modname, minver in [
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("cycler", "0.10"),
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("dateutil", "2.7"),
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("kiwisolver", "1.3.1"),
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("numpy", "1.23"),
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("pyparsing", "2.3.1"),
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]:
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module = importlib.import_module(modname)
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if parse_version(module.__version__) < parse_version(minver):
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raise ImportError(f"Matplotlib requires {modname}>={minver}; "
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f"you have {module.__version__}")
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_check_versions()
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# The decorator ensures this always returns the same handler (and it is only
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# attached once).
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@functools.cache
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def _ensure_handler():
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"""
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The first time this function is called, attach a `StreamHandler` using the
|
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same format as `logging.basicConfig` to the Matplotlib root logger.
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Return this handler every time this function is called.
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"""
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handler = logging.StreamHandler()
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handler.setFormatter(logging.Formatter(logging.BASIC_FORMAT))
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_log.addHandler(handler)
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return handler
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|
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def set_loglevel(level):
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"""
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Configure Matplotlib's logging levels.
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Matplotlib uses the standard library `logging` framework under the root
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logger 'matplotlib'. This is a helper function to:
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- set Matplotlib's root logger level
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- set the root logger handler's level, creating the handler
|
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if it does not exist yet
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Typically, one should call ``set_loglevel("info")`` or
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``set_loglevel("debug")`` to get additional debugging information.
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Users or applications that are installing their own logging handlers
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may want to directly manipulate ``logging.getLogger('matplotlib')`` rather
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than use this function.
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Parameters
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----------
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level : {"notset", "debug", "info", "warning", "error", "critical"}
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The log level of the handler.
|
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|
Notes
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-----
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The first time this function is called, an additional handler is attached
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to Matplotlib's root handler; this handler is reused every time and this
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function simply manipulates the logger and handler's level.
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"""
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_log.setLevel(level.upper())
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_ensure_handler().setLevel(level.upper())
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|
|
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|
def _logged_cached(fmt, func=None):
|
|
"""
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|
Decorator that logs a function's return value, and memoizes that value.
|
|
|
|
After ::
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|
@_logged_cached(fmt)
|
|
def func(): ...
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|
|
the first call to *func* will log its return value at the DEBUG level using
|
|
%-format string *fmt*, and memoize it; later calls to *func* will directly
|
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return that value.
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|
"""
|
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if func is None: # Return the actual decorator.
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return functools.partial(_logged_cached, fmt)
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|
|
called = False
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ret = None
|
|
|
|
@functools.wraps(func)
|
|
def wrapper(**kwargs):
|
|
nonlocal called, ret
|
|
if not called:
|
|
ret = func(**kwargs)
|
|
called = True
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|
_log.debug(fmt, ret)
|
|
return ret
|
|
|
|
return wrapper
|
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|
|
|
|
_ExecInfo = namedtuple("_ExecInfo", "executable raw_version version")
|
|
|
|
|
|
class ExecutableNotFoundError(FileNotFoundError):
|
|
"""
|
|
Error raised when an executable that Matplotlib optionally
|
|
depends on can't be found.
|
|
"""
|
|
pass
|
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|
|
|
|
@functools.cache
|
|
def _get_executable_info(name):
|
|
"""
|
|
Get the version of some executable that Matplotlib optionally depends on.
|
|
|
|
.. warning::
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The list of executables that this function supports is set according to
|
|
Matplotlib's internal needs, and may change without notice.
|
|
|
|
Parameters
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|
----------
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name : str
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|
The executable to query. The following values are currently supported:
|
|
"dvipng", "gs", "inkscape", "magick", "pdftocairo", "pdftops". This
|
|
list is subject to change without notice.
|
|
|
|
Returns
|
|
-------
|
|
tuple
|
|
A namedtuple with fields ``executable`` (`str`) and ``version``
|
|
(`packaging.Version`, or ``None`` if the version cannot be determined).
|
|
|
|
Raises
|
|
------
|
|
ExecutableNotFoundError
|
|
If the executable is not found or older than the oldest version
|
|
supported by Matplotlib. For debugging purposes, it is also
|
|
possible to "hide" an executable from Matplotlib by adding it to the
|
|
:envvar:`_MPLHIDEEXECUTABLES` environment variable (a comma-separated
|
|
list), which must be set prior to any calls to this function.
|
|
ValueError
|
|
If the executable is not one that we know how to query.
|
|
"""
|
|
|
|
def impl(args, regex, min_ver=None, ignore_exit_code=False):
|
|
# Execute the subprocess specified by args; capture stdout and stderr.
|
|
# Search for a regex match in the output; if the match succeeds, the
|
|
# first group of the match is the version.
|
|
# Return an _ExecInfo if the executable exists, and has a version of
|
|
# at least min_ver (if set); else, raise ExecutableNotFoundError.
|
|
try:
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|
output = subprocess.check_output(
|
|
args, stderr=subprocess.STDOUT,
|
|
text=True, errors="replace")
|
|
except subprocess.CalledProcessError as _cpe:
|
|
if ignore_exit_code:
|
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output = _cpe.output
|
|
else:
|
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raise ExecutableNotFoundError(str(_cpe)) from _cpe
|
|
except OSError as _ose:
|
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raise ExecutableNotFoundError(str(_ose)) from _ose
|
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match = re.search(regex, output)
|
|
if match:
|
|
raw_version = match.group(1)
|
|
version = parse_version(raw_version)
|
|
if min_ver is not None and version < parse_version(min_ver):
|
|
raise ExecutableNotFoundError(
|
|
f"You have {args[0]} version {version} but the minimum "
|
|
f"version supported by Matplotlib is {min_ver}")
|
|
return _ExecInfo(args[0], raw_version, version)
|
|
else:
|
|
raise ExecutableNotFoundError(
|
|
f"Failed to determine the version of {args[0]} from "
|
|
f"{' '.join(args)}, which output {output}")
|
|
|
|
if name in os.environ.get("_MPLHIDEEXECUTABLES", "").split(","):
|
|
raise ExecutableNotFoundError(f"{name} was hidden")
|
|
|
|
if name == "dvipng":
|
|
return impl(["dvipng", "-version"], "(?m)^dvipng(?: .*)? (.+)", "1.6")
|
|
elif name == "gs":
|
|
execs = (["gswin32c", "gswin64c", "mgs", "gs"] # "mgs" for miktex.
|
|
if sys.platform == "win32" else
|
|
["gs"])
|
|
for e in execs:
|
|
try:
|
|
return impl([e, "--version"], "(.*)", "9")
|
|
except ExecutableNotFoundError:
|
|
pass
|
|
message = "Failed to find a Ghostscript installation"
|
|
raise ExecutableNotFoundError(message)
|
|
elif name == "inkscape":
|
|
try:
|
|
# Try headless option first (needed for Inkscape version < 1.0):
|
|
return impl(["inkscape", "--without-gui", "-V"],
|
|
"Inkscape ([^ ]*)")
|
|
except ExecutableNotFoundError:
|
|
pass # Suppress exception chaining.
|
|
# If --without-gui is not accepted, we may be using Inkscape >= 1.0 so
|
|
# try without it:
|
|
return impl(["inkscape", "-V"], "Inkscape ([^ ]*)")
|
|
elif name == "magick":
|
|
if sys.platform == "win32":
|
|
# Check the registry to avoid confusing ImageMagick's convert with
|
|
# Windows's builtin convert.exe.
|
|
import winreg
|
|
binpath = ""
|
|
for flag in [0, winreg.KEY_WOW64_32KEY, winreg.KEY_WOW64_64KEY]:
|
|
try:
|
|
with winreg.OpenKeyEx(
|
|
winreg.HKEY_LOCAL_MACHINE,
|
|
r"Software\Imagemagick\Current",
|
|
0, winreg.KEY_QUERY_VALUE | flag) as hkey:
|
|
binpath = winreg.QueryValueEx(hkey, "BinPath")[0]
|
|
except OSError:
|
|
pass
|
|
path = None
|
|
if binpath:
|
|
for name in ["convert.exe", "magick.exe"]:
|
|
candidate = Path(binpath, name)
|
|
if candidate.exists():
|
|
path = str(candidate)
|
|
break
|
|
if path is None:
|
|
raise ExecutableNotFoundError(
|
|
"Failed to find an ImageMagick installation")
|
|
else:
|
|
path = "convert"
|
|
info = impl([path, "--version"], r"^Version: ImageMagick (\S*)")
|
|
if info.raw_version == "7.0.10-34":
|
|
# https://github.com/ImageMagick/ImageMagick/issues/2720
|
|
raise ExecutableNotFoundError(
|
|
f"You have ImageMagick {info.version}, which is unsupported")
|
|
return info
|
|
elif name == "pdftocairo":
|
|
return impl(["pdftocairo", "-v"], "pdftocairo version (.*)")
|
|
elif name == "pdftops":
|
|
info = impl(["pdftops", "-v"], "^pdftops version (.*)",
|
|
ignore_exit_code=True)
|
|
if info and not (
|
|
3 <= info.version.major or
|
|
# poppler version numbers.
|
|
parse_version("0.9") <= info.version < parse_version("1.0")):
|
|
raise ExecutableNotFoundError(
|
|
f"You have pdftops version {info.version} but the minimum "
|
|
f"version supported by Matplotlib is 3.0")
|
|
return info
|
|
else:
|
|
raise ValueError(f"Unknown executable: {name!r}")
|
|
|
|
|
|
def _get_xdg_config_dir():
|
|
"""
|
|
Return the XDG configuration directory, according to the XDG base
|
|
directory spec:
|
|
|
|
https://specifications.freedesktop.org/basedir-spec/basedir-spec-latest.html
|
|
"""
|
|
return os.environ.get('XDG_CONFIG_HOME') or str(Path.home() / ".config")
|
|
|
|
|
|
def _get_xdg_cache_dir():
|
|
"""
|
|
Return the XDG cache directory, according to the XDG base directory spec:
|
|
|
|
https://specifications.freedesktop.org/basedir-spec/basedir-spec-latest.html
|
|
"""
|
|
return os.environ.get('XDG_CACHE_HOME') or str(Path.home() / ".cache")
|
|
|
|
|
|
def _get_config_or_cache_dir(xdg_base_getter):
|
|
configdir = os.environ.get('MPLCONFIGDIR')
|
|
if configdir:
|
|
configdir = Path(configdir).resolve()
|
|
elif sys.platform.startswith(('linux', 'freebsd')):
|
|
# Only call _xdg_base_getter here so that MPLCONFIGDIR is tried first,
|
|
# as _xdg_base_getter can throw.
|
|
configdir = Path(xdg_base_getter(), "matplotlib")
|
|
else:
|
|
configdir = Path.home() / ".matplotlib"
|
|
try:
|
|
configdir.mkdir(parents=True, exist_ok=True)
|
|
except OSError:
|
|
pass
|
|
else:
|
|
if os.access(str(configdir), os.W_OK) and configdir.is_dir():
|
|
return str(configdir)
|
|
# If the config or cache directory cannot be created or is not a writable
|
|
# directory, create a temporary one.
|
|
try:
|
|
tmpdir = tempfile.mkdtemp(prefix="matplotlib-")
|
|
except OSError as exc:
|
|
raise OSError(
|
|
f"Matplotlib requires access to a writable cache directory, but the "
|
|
f"default path ({configdir}) is not a writable directory, and a temporary "
|
|
f"directory could not be created; set the MPLCONFIGDIR environment "
|
|
f"variable to a writable directory") from exc
|
|
os.environ["MPLCONFIGDIR"] = tmpdir
|
|
atexit.register(shutil.rmtree, tmpdir)
|
|
_log.warning(
|
|
"Matplotlib created a temporary cache directory at %s because the default path "
|
|
"(%s) is not a writable directory; it is highly recommended to set the "
|
|
"MPLCONFIGDIR environment variable to a writable directory, in particular to "
|
|
"speed up the import of Matplotlib and to better support multiprocessing.",
|
|
tmpdir, configdir)
|
|
return tmpdir
|
|
|
|
|
|
@_logged_cached('CONFIGDIR=%s')
|
|
def get_configdir():
|
|
"""
|
|
Return the string path of the configuration directory.
|
|
|
|
The directory is chosen as follows:
|
|
|
|
1. If the MPLCONFIGDIR environment variable is supplied, choose that.
|
|
2. On Linux, follow the XDG specification and look first in
|
|
``$XDG_CONFIG_HOME``, if defined, or ``$HOME/.config``. On other
|
|
platforms, choose ``$HOME/.matplotlib``.
|
|
3. If the chosen directory exists and is writable, use that as the
|
|
configuration directory.
|
|
4. Else, create a temporary directory, and use it as the configuration
|
|
directory.
|
|
"""
|
|
return _get_config_or_cache_dir(_get_xdg_config_dir)
|
|
|
|
|
|
@_logged_cached('CACHEDIR=%s')
|
|
def get_cachedir():
|
|
"""
|
|
Return the string path of the cache directory.
|
|
|
|
The procedure used to find the directory is the same as for
|
|
`get_configdir`, except using ``$XDG_CACHE_HOME``/``$HOME/.cache`` instead.
|
|
"""
|
|
return _get_config_or_cache_dir(_get_xdg_cache_dir)
|
|
|
|
|
|
@_logged_cached('matplotlib data path: %s')
|
|
def get_data_path():
|
|
"""Return the path to Matplotlib data."""
|
|
return str(Path(__file__).with_name("mpl-data"))
|
|
|
|
|
|
def matplotlib_fname():
|
|
"""
|
|
Get the location of the config file.
|
|
|
|
The file location is determined in the following order
|
|
|
|
- ``$PWD/matplotlibrc``
|
|
- ``$MATPLOTLIBRC`` if it is not a directory
|
|
- ``$MATPLOTLIBRC/matplotlibrc``
|
|
- ``$MPLCONFIGDIR/matplotlibrc``
|
|
- On Linux,
|
|
- ``$XDG_CONFIG_HOME/matplotlib/matplotlibrc`` (if ``$XDG_CONFIG_HOME``
|
|
is defined)
|
|
- or ``$HOME/.config/matplotlib/matplotlibrc`` (if ``$XDG_CONFIG_HOME``
|
|
is not defined)
|
|
- On other platforms,
|
|
- ``$HOME/.matplotlib/matplotlibrc`` if ``$HOME`` is defined
|
|
- Lastly, it looks in ``$MATPLOTLIBDATA/matplotlibrc``, which should always
|
|
exist.
|
|
"""
|
|
|
|
def gen_candidates():
|
|
# rely on down-stream code to make absolute. This protects us
|
|
# from having to directly get the current working directory
|
|
# which can fail if the user has ended up with a cwd that is
|
|
# non-existent.
|
|
yield 'matplotlibrc'
|
|
try:
|
|
matplotlibrc = os.environ['MATPLOTLIBRC']
|
|
except KeyError:
|
|
pass
|
|
else:
|
|
yield matplotlibrc
|
|
yield os.path.join(matplotlibrc, 'matplotlibrc')
|
|
yield os.path.join(get_configdir(), 'matplotlibrc')
|
|
yield os.path.join(get_data_path(), 'matplotlibrc')
|
|
|
|
for fname in gen_candidates():
|
|
if os.path.exists(fname) and not os.path.isdir(fname):
|
|
return fname
|
|
|
|
raise RuntimeError("Could not find matplotlibrc file; your Matplotlib "
|
|
"install is broken")
|
|
|
|
|
|
# rcParams deprecated and automatically mapped to another key.
|
|
# Values are tuples of (version, new_name, f_old2new, f_new2old).
|
|
_deprecated_map = {}
|
|
# rcParams deprecated; some can manually be mapped to another key.
|
|
# Values are tuples of (version, new_name_or_None).
|
|
_deprecated_ignore_map = {}
|
|
# rcParams deprecated; can use None to suppress warnings; remain actually
|
|
# listed in the rcParams.
|
|
# Values are tuples of (version,)
|
|
_deprecated_remain_as_none = {}
|
|
|
|
|
|
@_docstring.Substitution(
|
|
"\n".join(map("- {}".format, sorted(rcsetup._validators, key=str.lower)))
|
|
)
|
|
class RcParams(MutableMapping, dict):
|
|
"""
|
|
A dict-like key-value store for config parameters, including validation.
|
|
|
|
Validating functions are defined and associated with rc parameters in
|
|
:mod:`matplotlib.rcsetup`.
|
|
|
|
The list of rcParams is:
|
|
|
|
%s
|
|
|
|
See Also
|
|
--------
|
|
:ref:`customizing-with-matplotlibrc-files`
|
|
"""
|
|
|
|
validate = rcsetup._validators
|
|
|
|
# validate values on the way in
|
|
def __init__(self, *args, **kwargs):
|
|
self.update(*args, **kwargs)
|
|
|
|
def _set(self, key, val):
|
|
"""
|
|
Directly write data bypassing deprecation and validation logic.
|
|
|
|
Notes
|
|
-----
|
|
As end user or downstream library you almost always should use
|
|
``rcParams[key] = val`` and not ``_set()``.
|
|
|
|
There are only very few special cases that need direct data access.
|
|
These cases previously used ``dict.__setitem__(rcParams, key, val)``,
|
|
which is now deprecated and replaced by ``rcParams._set(key, val)``.
|
|
|
|
Even though private, we guarantee API stability for ``rcParams._set``,
|
|
i.e. it is subject to Matplotlib's API and deprecation policy.
|
|
|
|
:meta public:
|
|
"""
|
|
dict.__setitem__(self, key, val)
|
|
|
|
def _get(self, key):
|
|
"""
|
|
Directly read data bypassing deprecation, backend and validation
|
|
logic.
|
|
|
|
Notes
|
|
-----
|
|
As end user or downstream library you almost always should use
|
|
``val = rcParams[key]`` and not ``_get()``.
|
|
|
|
There are only very few special cases that need direct data access.
|
|
These cases previously used ``dict.__getitem__(rcParams, key, val)``,
|
|
which is now deprecated and replaced by ``rcParams._get(key)``.
|
|
|
|
Even though private, we guarantee API stability for ``rcParams._get``,
|
|
i.e. it is subject to Matplotlib's API and deprecation policy.
|
|
|
|
:meta public:
|
|
"""
|
|
return dict.__getitem__(self, key)
|
|
|
|
def __setitem__(self, key, val):
|
|
try:
|
|
if key in _deprecated_map:
|
|
version, alt_key, alt_val, inverse_alt = _deprecated_map[key]
|
|
_api.warn_deprecated(
|
|
version, name=key, obj_type="rcparam", alternative=alt_key)
|
|
key = alt_key
|
|
val = alt_val(val)
|
|
elif key in _deprecated_remain_as_none and val is not None:
|
|
version, = _deprecated_remain_as_none[key]
|
|
_api.warn_deprecated(version, name=key, obj_type="rcparam")
|
|
elif key in _deprecated_ignore_map:
|
|
version, alt_key = _deprecated_ignore_map[key]
|
|
_api.warn_deprecated(
|
|
version, name=key, obj_type="rcparam", alternative=alt_key)
|
|
return
|
|
elif key == 'backend':
|
|
if val is rcsetup._auto_backend_sentinel:
|
|
if 'backend' in self:
|
|
return
|
|
try:
|
|
cval = self.validate[key](val)
|
|
except ValueError as ve:
|
|
raise ValueError(f"Key {key}: {ve}") from None
|
|
self._set(key, cval)
|
|
except KeyError as err:
|
|
raise KeyError(
|
|
f"{key} is not a valid rc parameter (see rcParams.keys() for "
|
|
f"a list of valid parameters)") from err
|
|
|
|
def __getitem__(self, key):
|
|
if key in _deprecated_map:
|
|
version, alt_key, alt_val, inverse_alt = _deprecated_map[key]
|
|
_api.warn_deprecated(
|
|
version, name=key, obj_type="rcparam", alternative=alt_key)
|
|
return inverse_alt(self._get(alt_key))
|
|
|
|
elif key in _deprecated_ignore_map:
|
|
version, alt_key = _deprecated_ignore_map[key]
|
|
_api.warn_deprecated(
|
|
version, name=key, obj_type="rcparam", alternative=alt_key)
|
|
return self._get(alt_key) if alt_key else None
|
|
|
|
# In theory, this should only ever be used after the global rcParams
|
|
# has been set up, but better be safe e.g. in presence of breakpoints.
|
|
elif key == "backend" and self is globals().get("rcParams"):
|
|
val = self._get(key)
|
|
if val is rcsetup._auto_backend_sentinel:
|
|
from matplotlib import pyplot as plt
|
|
plt.switch_backend(rcsetup._auto_backend_sentinel)
|
|
|
|
return self._get(key)
|
|
|
|
def _get_backend_or_none(self):
|
|
"""Get the requested backend, if any, without triggering resolution."""
|
|
backend = self._get("backend")
|
|
return None if backend is rcsetup._auto_backend_sentinel else backend
|
|
|
|
def __repr__(self):
|
|
class_name = self.__class__.__name__
|
|
indent = len(class_name) + 1
|
|
with _api.suppress_matplotlib_deprecation_warning():
|
|
repr_split = pprint.pformat(dict(self), indent=1,
|
|
width=80 - indent).split('\n')
|
|
repr_indented = ('\n' + ' ' * indent).join(repr_split)
|
|
return f'{class_name}({repr_indented})'
|
|
|
|
def __str__(self):
|
|
return '\n'.join(map('{0[0]}: {0[1]}'.format, sorted(self.items())))
|
|
|
|
def __iter__(self):
|
|
"""Yield sorted list of keys."""
|
|
with _api.suppress_matplotlib_deprecation_warning():
|
|
yield from sorted(dict.__iter__(self))
|
|
|
|
def __len__(self):
|
|
return dict.__len__(self)
|
|
|
|
def find_all(self, pattern):
|
|
"""
|
|
Return the subset of this RcParams dictionary whose keys match,
|
|
using :func:`re.search`, the given ``pattern``.
|
|
|
|
.. note::
|
|
|
|
Changes to the returned dictionary are *not* propagated to
|
|
the parent RcParams dictionary.
|
|
|
|
"""
|
|
pattern_re = re.compile(pattern)
|
|
return RcParams((key, value)
|
|
for key, value in self.items()
|
|
if pattern_re.search(key))
|
|
|
|
def copy(self):
|
|
"""Copy this RcParams instance."""
|
|
rccopy = RcParams()
|
|
for k in self: # Skip deprecations and revalidation.
|
|
rccopy._set(k, self._get(k))
|
|
return rccopy
|
|
|
|
|
|
def rc_params(fail_on_error=False):
|
|
"""Construct a `RcParams` instance from the default Matplotlib rc file."""
|
|
return rc_params_from_file(matplotlib_fname(), fail_on_error)
|
|
|
|
|
|
@functools.cache
|
|
def _get_ssl_context():
|
|
try:
|
|
import certifi
|
|
except ImportError:
|
|
_log.debug("Could not import certifi.")
|
|
return None
|
|
import ssl
|
|
return ssl.create_default_context(cafile=certifi.where())
|
|
|
|
|
|
@contextlib.contextmanager
|
|
def _open_file_or_url(fname):
|
|
if (isinstance(fname, str)
|
|
and fname.startswith(('http://', 'https://', 'ftp://', 'file:'))):
|
|
import urllib.request
|
|
ssl_ctx = _get_ssl_context()
|
|
if ssl_ctx is None:
|
|
_log.debug(
|
|
"Could not get certifi ssl context, https may not work."
|
|
)
|
|
with urllib.request.urlopen(fname, context=ssl_ctx) as f:
|
|
yield (line.decode('utf-8') for line in f)
|
|
else:
|
|
fname = os.path.expanduser(fname)
|
|
with open(fname, encoding='utf-8') as f:
|
|
yield f
|
|
|
|
|
|
def _rc_params_in_file(fname, transform=lambda x: x, fail_on_error=False):
|
|
"""
|
|
Construct a `RcParams` instance from file *fname*.
|
|
|
|
Unlike `rc_params_from_file`, the configuration class only contains the
|
|
parameters specified in the file (i.e. default values are not filled in).
|
|
|
|
Parameters
|
|
----------
|
|
fname : path-like
|
|
The loaded file.
|
|
transform : callable, default: the identity function
|
|
A function called on each individual line of the file to transform it,
|
|
before further parsing.
|
|
fail_on_error : bool, default: False
|
|
Whether invalid entries should result in an exception or a warning.
|
|
"""
|
|
import matplotlib as mpl
|
|
rc_temp = {}
|
|
with _open_file_or_url(fname) as fd:
|
|
try:
|
|
for line_no, line in enumerate(fd, 1):
|
|
line = transform(line)
|
|
strippedline = cbook._strip_comment(line)
|
|
if not strippedline:
|
|
continue
|
|
tup = strippedline.split(':', 1)
|
|
if len(tup) != 2:
|
|
_log.warning('Missing colon in file %r, line %d (%r)',
|
|
fname, line_no, line.rstrip('\n'))
|
|
continue
|
|
key, val = tup
|
|
key = key.strip()
|
|
val = val.strip()
|
|
if val.startswith('"') and val.endswith('"'):
|
|
val = val[1:-1] # strip double quotes
|
|
if key in rc_temp:
|
|
_log.warning('Duplicate key in file %r, line %d (%r)',
|
|
fname, line_no, line.rstrip('\n'))
|
|
rc_temp[key] = (val, line, line_no)
|
|
except UnicodeDecodeError:
|
|
_log.warning('Cannot decode configuration file %r as utf-8.',
|
|
fname)
|
|
raise
|
|
|
|
config = RcParams()
|
|
|
|
for key, (val, line, line_no) in rc_temp.items():
|
|
if key in rcsetup._validators:
|
|
if fail_on_error:
|
|
config[key] = val # try to convert to proper type or raise
|
|
else:
|
|
try:
|
|
config[key] = val # try to convert to proper type or skip
|
|
except Exception as msg:
|
|
_log.warning('Bad value in file %r, line %d (%r): %s',
|
|
fname, line_no, line.rstrip('\n'), msg)
|
|
elif key in _deprecated_ignore_map:
|
|
version, alt_key = _deprecated_ignore_map[key]
|
|
_api.warn_deprecated(
|
|
version, name=key, alternative=alt_key, obj_type='rcparam',
|
|
addendum="Please update your matplotlibrc.")
|
|
else:
|
|
# __version__ must be looked up as an attribute to trigger the
|
|
# module-level __getattr__.
|
|
version = ('main' if '.post' in mpl.__version__
|
|
else f'v{mpl.__version__}')
|
|
_log.warning("""
|
|
Bad key %(key)s in file %(fname)s, line %(line_no)s (%(line)r)
|
|
You probably need to get an updated matplotlibrc file from
|
|
https://github.com/matplotlib/matplotlib/blob/%(version)s/lib/matplotlib/mpl-data/matplotlibrc
|
|
or from the matplotlib source distribution""",
|
|
dict(key=key, fname=fname, line_no=line_no,
|
|
line=line.rstrip('\n'), version=version))
|
|
return config
|
|
|
|
|
|
def rc_params_from_file(fname, fail_on_error=False, use_default_template=True):
|
|
"""
|
|
Construct a `RcParams` from file *fname*.
|
|
|
|
Parameters
|
|
----------
|
|
fname : str or path-like
|
|
A file with Matplotlib rc settings.
|
|
fail_on_error : bool
|
|
If True, raise an error when the parser fails to convert a parameter.
|
|
use_default_template : bool
|
|
If True, initialize with default parameters before updating with those
|
|
in the given file. If False, the configuration class only contains the
|
|
parameters specified in the file. (Useful for updating dicts.)
|
|
"""
|
|
config_from_file = _rc_params_in_file(fname, fail_on_error=fail_on_error)
|
|
|
|
if not use_default_template:
|
|
return config_from_file
|
|
|
|
with _api.suppress_matplotlib_deprecation_warning():
|
|
config = RcParams({**rcParamsDefault, **config_from_file})
|
|
|
|
if "".join(config['text.latex.preamble']):
|
|
_log.info("""
|
|
*****************************************************************
|
|
You have the following UNSUPPORTED LaTeX preamble customizations:
|
|
%s
|
|
Please do not ask for support with these customizations active.
|
|
*****************************************************************
|
|
""", '\n'.join(config['text.latex.preamble']))
|
|
_log.debug('loaded rc file %s', fname)
|
|
|
|
return config
|
|
|
|
|
|
# When constructing the global instances, we need to perform certain updates
|
|
# by explicitly calling the superclass (dict.update, dict.items) to avoid
|
|
# triggering resolution of _auto_backend_sentinel.
|
|
rcParamsDefault = _rc_params_in_file(
|
|
cbook._get_data_path("matplotlibrc"),
|
|
# Strip leading comment.
|
|
transform=lambda line: line[1:] if line.startswith("#") else line,
|
|
fail_on_error=True)
|
|
dict.update(rcParamsDefault, rcsetup._hardcoded_defaults)
|
|
# Normally, the default matplotlibrc file contains *no* entry for backend (the
|
|
# corresponding line starts with ##, not #; we fill on _auto_backend_sentinel
|
|
# in that case. However, packagers can set a different default backend
|
|
# (resulting in a normal `#backend: foo` line) in which case we should *not*
|
|
# fill in _auto_backend_sentinel.
|
|
dict.setdefault(rcParamsDefault, "backend", rcsetup._auto_backend_sentinel)
|
|
rcParams = RcParams() # The global instance.
|
|
dict.update(rcParams, dict.items(rcParamsDefault))
|
|
dict.update(rcParams, _rc_params_in_file(matplotlib_fname()))
|
|
rcParamsOrig = rcParams.copy()
|
|
with _api.suppress_matplotlib_deprecation_warning():
|
|
# This also checks that all rcParams are indeed listed in the template.
|
|
# Assigning to rcsetup.defaultParams is left only for backcompat.
|
|
defaultParams = rcsetup.defaultParams = {
|
|
# We want to resolve deprecated rcParams, but not backend...
|
|
key: [(rcsetup._auto_backend_sentinel if key == "backend" else
|
|
rcParamsDefault[key]),
|
|
validator]
|
|
for key, validator in rcsetup._validators.items()}
|
|
if rcParams['axes.formatter.use_locale']:
|
|
locale.setlocale(locale.LC_ALL, '')
|
|
|
|
|
|
def rc(group, **kwargs):
|
|
"""
|
|
Set the current `.rcParams`. *group* is the grouping for the rc, e.g.,
|
|
for ``lines.linewidth`` the group is ``lines``, for
|
|
``axes.facecolor``, the group is ``axes``, and so on. Group may
|
|
also be a list or tuple of group names, e.g., (*xtick*, *ytick*).
|
|
*kwargs* is a dictionary attribute name/value pairs, e.g.,::
|
|
|
|
rc('lines', linewidth=2, color='r')
|
|
|
|
sets the current `.rcParams` and is equivalent to::
|
|
|
|
rcParams['lines.linewidth'] = 2
|
|
rcParams['lines.color'] = 'r'
|
|
|
|
The following aliases are available to save typing for interactive users:
|
|
|
|
===== =================
|
|
Alias Property
|
|
===== =================
|
|
'lw' 'linewidth'
|
|
'ls' 'linestyle'
|
|
'c' 'color'
|
|
'fc' 'facecolor'
|
|
'ec' 'edgecolor'
|
|
'mew' 'markeredgewidth'
|
|
'aa' 'antialiased'
|
|
===== =================
|
|
|
|
Thus you could abbreviate the above call as::
|
|
|
|
rc('lines', lw=2, c='r')
|
|
|
|
Note you can use python's kwargs dictionary facility to store
|
|
dictionaries of default parameters. e.g., you can customize the
|
|
font rc as follows::
|
|
|
|
font = {'family' : 'monospace',
|
|
'weight' : 'bold',
|
|
'size' : 'larger'}
|
|
rc('font', **font) # pass in the font dict as kwargs
|
|
|
|
This enables you to easily switch between several configurations. Use
|
|
``matplotlib.style.use('default')`` or :func:`~matplotlib.rcdefaults` to
|
|
restore the default `.rcParams` after changes.
|
|
|
|
Notes
|
|
-----
|
|
Similar functionality is available by using the normal dict interface, i.e.
|
|
``rcParams.update({"lines.linewidth": 2, ...})`` (but ``rcParams.update``
|
|
does not support abbreviations or grouping).
|
|
"""
|
|
|
|
aliases = {
|
|
'lw': 'linewidth',
|
|
'ls': 'linestyle',
|
|
'c': 'color',
|
|
'fc': 'facecolor',
|
|
'ec': 'edgecolor',
|
|
'mew': 'markeredgewidth',
|
|
'aa': 'antialiased',
|
|
}
|
|
|
|
if isinstance(group, str):
|
|
group = (group,)
|
|
for g in group:
|
|
for k, v in kwargs.items():
|
|
name = aliases.get(k) or k
|
|
key = f'{g}.{name}'
|
|
try:
|
|
rcParams[key] = v
|
|
except KeyError as err:
|
|
raise KeyError(('Unrecognized key "%s" for group "%s" and '
|
|
'name "%s"') % (key, g, name)) from err
|
|
|
|
|
|
def rcdefaults():
|
|
"""
|
|
Restore the `.rcParams` from Matplotlib's internal default style.
|
|
|
|
Style-blacklisted `.rcParams` (defined in
|
|
``matplotlib.style.core.STYLE_BLACKLIST``) are not updated.
|
|
|
|
See Also
|
|
--------
|
|
matplotlib.rc_file_defaults
|
|
Restore the `.rcParams` from the rc file originally loaded by
|
|
Matplotlib.
|
|
matplotlib.style.use
|
|
Use a specific style file. Call ``style.use('default')`` to restore
|
|
the default style.
|
|
"""
|
|
# Deprecation warnings were already handled when creating rcParamsDefault,
|
|
# no need to reemit them here.
|
|
with _api.suppress_matplotlib_deprecation_warning():
|
|
from .style.core import STYLE_BLACKLIST
|
|
rcParams.clear()
|
|
rcParams.update({k: v for k, v in rcParamsDefault.items()
|
|
if k not in STYLE_BLACKLIST})
|
|
|
|
|
|
def rc_file_defaults():
|
|
"""
|
|
Restore the `.rcParams` from the original rc file loaded by Matplotlib.
|
|
|
|
Style-blacklisted `.rcParams` (defined in
|
|
``matplotlib.style.core.STYLE_BLACKLIST``) are not updated.
|
|
"""
|
|
# Deprecation warnings were already handled when creating rcParamsOrig, no
|
|
# need to reemit them here.
|
|
with _api.suppress_matplotlib_deprecation_warning():
|
|
from .style.core import STYLE_BLACKLIST
|
|
rcParams.update({k: rcParamsOrig[k] for k in rcParamsOrig
|
|
if k not in STYLE_BLACKLIST})
|
|
|
|
|
|
def rc_file(fname, *, use_default_template=True):
|
|
"""
|
|
Update `.rcParams` from file.
|
|
|
|
Style-blacklisted `.rcParams` (defined in
|
|
``matplotlib.style.core.STYLE_BLACKLIST``) are not updated.
|
|
|
|
Parameters
|
|
----------
|
|
fname : str or path-like
|
|
A file with Matplotlib rc settings.
|
|
|
|
use_default_template : bool
|
|
If True, initialize with default parameters before updating with those
|
|
in the given file. If False, the current configuration persists
|
|
and only the parameters specified in the file are updated.
|
|
"""
|
|
# Deprecation warnings were already handled in rc_params_from_file, no need
|
|
# to reemit them here.
|
|
with _api.suppress_matplotlib_deprecation_warning():
|
|
from .style.core import STYLE_BLACKLIST
|
|
rc_from_file = rc_params_from_file(
|
|
fname, use_default_template=use_default_template)
|
|
rcParams.update({k: rc_from_file[k] for k in rc_from_file
|
|
if k not in STYLE_BLACKLIST})
|
|
|
|
|
|
@contextlib.contextmanager
|
|
def rc_context(rc=None, fname=None):
|
|
"""
|
|
Return a context manager for temporarily changing rcParams.
|
|
|
|
The :rc:`backend` will not be reset by the context manager.
|
|
|
|
rcParams changed both through the context manager invocation and
|
|
in the body of the context will be reset on context exit.
|
|
|
|
Parameters
|
|
----------
|
|
rc : dict
|
|
The rcParams to temporarily set.
|
|
fname : str or path-like
|
|
A file with Matplotlib rc settings. If both *fname* and *rc* are given,
|
|
settings from *rc* take precedence.
|
|
|
|
See Also
|
|
--------
|
|
:ref:`customizing-with-matplotlibrc-files`
|
|
|
|
Examples
|
|
--------
|
|
Passing explicit values via a dict::
|
|
|
|
with mpl.rc_context({'interactive': False}):
|
|
fig, ax = plt.subplots()
|
|
ax.plot(range(3), range(3))
|
|
fig.savefig('example.png')
|
|
plt.close(fig)
|
|
|
|
Loading settings from a file::
|
|
|
|
with mpl.rc_context(fname='print.rc'):
|
|
plt.plot(x, y) # uses 'print.rc'
|
|
|
|
Setting in the context body::
|
|
|
|
with mpl.rc_context():
|
|
# will be reset
|
|
mpl.rcParams['lines.linewidth'] = 5
|
|
plt.plot(x, y)
|
|
|
|
"""
|
|
orig = dict(rcParams.copy())
|
|
del orig['backend']
|
|
try:
|
|
if fname:
|
|
rc_file(fname)
|
|
if rc:
|
|
rcParams.update(rc)
|
|
yield
|
|
finally:
|
|
dict.update(rcParams, orig) # Revert to the original rcs.
|
|
|
|
|
|
def use(backend, *, force=True):
|
|
"""
|
|
Select the backend used for rendering and GUI integration.
|
|
|
|
If pyplot is already imported, `~matplotlib.pyplot.switch_backend` is used
|
|
and if the new backend is different than the current backend, all Figures
|
|
will be closed.
|
|
|
|
Parameters
|
|
----------
|
|
backend : str
|
|
The backend to switch to. This can either be one of the standard
|
|
backend names, which are case-insensitive:
|
|
|
|
- interactive backends:
|
|
GTK3Agg, GTK3Cairo, GTK4Agg, GTK4Cairo, MacOSX, nbAgg, notebook, QtAgg,
|
|
QtCairo, TkAgg, TkCairo, WebAgg, WX, WXAgg, WXCairo, Qt5Agg, Qt5Cairo
|
|
|
|
- non-interactive backends:
|
|
agg, cairo, pdf, pgf, ps, svg, template
|
|
|
|
or a string of the form: ``module://my.module.name``.
|
|
|
|
notebook is a synonym for nbAgg.
|
|
|
|
Switching to an interactive backend is not possible if an unrelated
|
|
event loop has already been started (e.g., switching to GTK3Agg if a
|
|
TkAgg window has already been opened). Switching to a non-interactive
|
|
backend is always possible.
|
|
|
|
force : bool, default: True
|
|
If True (the default), raise an `ImportError` if the backend cannot be
|
|
set up (either because it fails to import, or because an incompatible
|
|
GUI interactive framework is already running); if False, silently
|
|
ignore the failure.
|
|
|
|
See Also
|
|
--------
|
|
:ref:`backends`
|
|
matplotlib.get_backend
|
|
matplotlib.pyplot.switch_backend
|
|
|
|
"""
|
|
name = validate_backend(backend)
|
|
# don't (prematurely) resolve the "auto" backend setting
|
|
if rcParams._get_backend_or_none() == name:
|
|
# Nothing to do if the requested backend is already set
|
|
pass
|
|
else:
|
|
# if pyplot is not already imported, do not import it. Doing
|
|
# so may trigger a `plt.switch_backend` to the _default_ backend
|
|
# before we get a chance to change to the one the user just requested
|
|
plt = sys.modules.get('matplotlib.pyplot')
|
|
# if pyplot is imported, then try to change backends
|
|
if plt is not None:
|
|
try:
|
|
# we need this import check here to re-raise if the
|
|
# user does not have the libraries to support their
|
|
# chosen backend installed.
|
|
plt.switch_backend(name)
|
|
except ImportError:
|
|
if force:
|
|
raise
|
|
# if we have not imported pyplot, then we can set the rcParam
|
|
# value which will be respected when the user finally imports
|
|
# pyplot
|
|
else:
|
|
rcParams['backend'] = backend
|
|
# if the user has asked for a given backend, do not helpfully
|
|
# fallback
|
|
rcParams['backend_fallback'] = False
|
|
|
|
|
|
if os.environ.get('MPLBACKEND'):
|
|
rcParams['backend'] = os.environ.get('MPLBACKEND')
|
|
|
|
|
|
def get_backend():
|
|
"""
|
|
Return the name of the current backend.
|
|
|
|
See Also
|
|
--------
|
|
matplotlib.use
|
|
"""
|
|
return rcParams['backend']
|
|
|
|
|
|
def interactive(b):
|
|
"""
|
|
Set whether to redraw after every plotting command (e.g. `.pyplot.xlabel`).
|
|
"""
|
|
rcParams['interactive'] = b
|
|
|
|
|
|
def is_interactive():
|
|
"""
|
|
Return whether to redraw after every plotting command.
|
|
|
|
.. note::
|
|
|
|
This function is only intended for use in backends. End users should
|
|
use `.pyplot.isinteractive` instead.
|
|
"""
|
|
return rcParams['interactive']
|
|
|
|
|
|
def _val_or_rc(val, rc_name):
|
|
"""
|
|
If *val* is None, return ``mpl.rcParams[rc_name]``, otherwise return val.
|
|
"""
|
|
return val if val is not None else rcParams[rc_name]
|
|
|
|
|
|
def _init_tests():
|
|
# The version of FreeType to install locally for running the tests. This must match
|
|
# the value in `meson.build`.
|
|
LOCAL_FREETYPE_VERSION = '2.6.1'
|
|
|
|
from matplotlib import ft2font
|
|
if (ft2font.__freetype_version__ != LOCAL_FREETYPE_VERSION or
|
|
ft2font.__freetype_build_type__ != 'local'):
|
|
_log.warning(
|
|
"Matplotlib is not built with the correct FreeType version to run tests. "
|
|
"Rebuild without setting system-freetype=true in Meson setup options. "
|
|
"Expect many image comparison failures below. "
|
|
"Expected freetype version %s. "
|
|
"Found freetype version %s. "
|
|
"Freetype build type is %slocal.",
|
|
LOCAL_FREETYPE_VERSION,
|
|
ft2font.__freetype_version__,
|
|
"" if ft2font.__freetype_build_type__ == 'local' else "not ")
|
|
|
|
|
|
def _replacer(data, value):
|
|
"""
|
|
Either returns ``data[value]`` or passes ``data`` back, converts either to
|
|
a sequence.
|
|
"""
|
|
try:
|
|
# if key isn't a string don't bother
|
|
if isinstance(value, str):
|
|
# try to use __getitem__
|
|
value = data[value]
|
|
except Exception:
|
|
# key does not exist, silently fall back to key
|
|
pass
|
|
return sanitize_sequence(value)
|
|
|
|
|
|
def _label_from_arg(y, default_name):
|
|
try:
|
|
return y.name
|
|
except AttributeError:
|
|
if isinstance(default_name, str):
|
|
return default_name
|
|
return None
|
|
|
|
|
|
def _add_data_doc(docstring, replace_names):
|
|
"""
|
|
Add documentation for a *data* field to the given docstring.
|
|
|
|
Parameters
|
|
----------
|
|
docstring : str
|
|
The input docstring.
|
|
replace_names : list of str or None
|
|
The list of parameter names which arguments should be replaced by
|
|
``data[name]`` (if ``data[name]`` does not throw an exception). If
|
|
None, replacement is attempted for all arguments.
|
|
|
|
Returns
|
|
-------
|
|
str
|
|
The augmented docstring.
|
|
"""
|
|
if (docstring is None
|
|
or replace_names is not None and len(replace_names) == 0):
|
|
return docstring
|
|
docstring = inspect.cleandoc(docstring)
|
|
|
|
data_doc = ("""\
|
|
If given, all parameters also accept a string ``s``, which is
|
|
interpreted as ``data[s]`` (unless this raises an exception)."""
|
|
if replace_names is None else f"""\
|
|
If given, the following parameters also accept a string ``s``, which is
|
|
interpreted as ``data[s]`` (unless this raises an exception):
|
|
|
|
{', '.join(map('*{}*'.format, replace_names))}""")
|
|
# using string replacement instead of formatting has the advantages
|
|
# 1) simpler indent handling
|
|
# 2) prevent problems with formatting characters '{', '%' in the docstring
|
|
if _log.level <= logging.DEBUG:
|
|
# test_data_parameter_replacement() tests against these log messages
|
|
# make sure to keep message and test in sync
|
|
if "data : indexable object, optional" not in docstring:
|
|
_log.debug("data parameter docstring error: no data parameter")
|
|
if 'DATA_PARAMETER_PLACEHOLDER' not in docstring:
|
|
_log.debug("data parameter docstring error: missing placeholder")
|
|
return docstring.replace(' DATA_PARAMETER_PLACEHOLDER', data_doc)
|
|
|
|
|
|
def _preprocess_data(func=None, *, replace_names=None, label_namer=None):
|
|
"""
|
|
A decorator to add a 'data' kwarg to a function.
|
|
|
|
When applied::
|
|
|
|
@_preprocess_data()
|
|
def func(ax, *args, **kwargs): ...
|
|
|
|
the signature is modified to ``decorated(ax, *args, data=None, **kwargs)``
|
|
with the following behavior:
|
|
|
|
- if called with ``data=None``, forward the other arguments to ``func``;
|
|
- otherwise, *data* must be a mapping; for any argument passed in as a
|
|
string ``name``, replace the argument by ``data[name]`` (if this does not
|
|
throw an exception), then forward the arguments to ``func``.
|
|
|
|
In either case, any argument that is a `MappingView` is also converted to a
|
|
list.
|
|
|
|
Parameters
|
|
----------
|
|
replace_names : list of str or None, default: None
|
|
The list of parameter names for which lookup into *data* should be
|
|
attempted. If None, replacement is attempted for all arguments.
|
|
label_namer : str, default: None
|
|
If set e.g. to "namer" (which must be a kwarg in the function's
|
|
signature -- not as ``**kwargs``), if the *namer* argument passed in is
|
|
a (string) key of *data* and no *label* kwarg is passed, then use the
|
|
(string) value of the *namer* as *label*. ::
|
|
|
|
@_preprocess_data(label_namer="foo")
|
|
def func(foo, label=None): ...
|
|
|
|
func("key", data={"key": value})
|
|
# is equivalent to
|
|
func.__wrapped__(value, label="key")
|
|
"""
|
|
|
|
if func is None: # Return the actual decorator.
|
|
return functools.partial(
|
|
_preprocess_data,
|
|
replace_names=replace_names, label_namer=label_namer)
|
|
|
|
sig = inspect.signature(func)
|
|
varargs_name = None
|
|
varkwargs_name = None
|
|
arg_names = []
|
|
params = list(sig.parameters.values())
|
|
for p in params:
|
|
if p.kind is Parameter.VAR_POSITIONAL:
|
|
varargs_name = p.name
|
|
elif p.kind is Parameter.VAR_KEYWORD:
|
|
varkwargs_name = p.name
|
|
else:
|
|
arg_names.append(p.name)
|
|
data_param = Parameter("data", Parameter.KEYWORD_ONLY, default=None)
|
|
if varkwargs_name:
|
|
params.insert(-1, data_param)
|
|
else:
|
|
params.append(data_param)
|
|
new_sig = sig.replace(parameters=params)
|
|
arg_names = arg_names[1:] # remove the first "ax" / self arg
|
|
|
|
assert {*arg_names}.issuperset(replace_names or []) or varkwargs_name, (
|
|
"Matplotlib internal error: invalid replace_names "
|
|
f"({replace_names!r}) for {func.__name__!r}")
|
|
assert label_namer is None or label_namer in arg_names, (
|
|
"Matplotlib internal error: invalid label_namer "
|
|
f"({label_namer!r}) for {func.__name__!r}")
|
|
|
|
@functools.wraps(func)
|
|
def inner(ax, *args, data=None, **kwargs):
|
|
if data is None:
|
|
return func(
|
|
ax,
|
|
*map(sanitize_sequence, args),
|
|
**{k: sanitize_sequence(v) for k, v in kwargs.items()})
|
|
|
|
bound = new_sig.bind(ax, *args, **kwargs)
|
|
auto_label = (bound.arguments.get(label_namer)
|
|
or bound.kwargs.get(label_namer))
|
|
|
|
for k, v in bound.arguments.items():
|
|
if k == varkwargs_name:
|
|
for k1, v1 in v.items():
|
|
if replace_names is None or k1 in replace_names:
|
|
v[k1] = _replacer(data, v1)
|
|
elif k == varargs_name:
|
|
if replace_names is None:
|
|
bound.arguments[k] = tuple(_replacer(data, v1) for v1 in v)
|
|
else:
|
|
if replace_names is None or k in replace_names:
|
|
bound.arguments[k] = _replacer(data, v)
|
|
|
|
new_args = bound.args
|
|
new_kwargs = bound.kwargs
|
|
|
|
args_and_kwargs = {**bound.arguments, **bound.kwargs}
|
|
if label_namer and "label" not in args_and_kwargs:
|
|
new_kwargs["label"] = _label_from_arg(
|
|
args_and_kwargs.get(label_namer), auto_label)
|
|
|
|
return func(*new_args, **new_kwargs)
|
|
|
|
inner.__doc__ = _add_data_doc(inner.__doc__, replace_names)
|
|
inner.__signature__ = new_sig
|
|
return inner
|
|
|
|
|
|
_log.debug('interactive is %s', is_interactive())
|
|
_log.debug('platform is %s', sys.platform)
|
|
|
|
|
|
# workaround: we must defer colormaps import to after loading rcParams, because
|
|
# colormap creation depends on rcParams
|
|
from matplotlib.cm import _colormaps as colormaps # noqa: E402
|
|
from matplotlib.colors import _color_sequences as color_sequences # noqa: E402
|