Version 2.1.2
matplotlib
Fork me on GitHub


Travis-CI:

This Page

The top level matplotlib module

matplotlib.use(arg, warn=True, force=False)

Set the matplotlib backend to one of the known backends.

The argument is case-insensitive. warn specifies whether a warning should be issued if a backend has already been set up. force is an experimental flag that tells matplotlib to attempt to initialize a new backend by reloading the backend module.

Note

This function must be called before importing pyplot for the first time; or, if you are not using pyplot, it must be called before importing matplotlib.backends. If warn is True, a warning is issued if you try and call this after pylab or pyplot have been loaded. In certain black magic use cases, e.g. pyplot.switch_backend(), we are doing the reloading necessary to make the backend switch work (in some cases, e.g., pure image backends) so one can set warn=False to suppress the warnings.

To find out which backend is currently set, see matplotlib.get_backend().

matplotlib.get_backend()

Return the name of the current backend.

matplotlib.rcParams

An instance of RcParams for handling default matplotlib values.

matplotlib.rc_context(rc=None, fname=None)

Return a context manager for managing rc settings.

This allows one to do:

with mpl.rc_context(fname='screen.rc'):
    plt.plot(x, a)
    with mpl.rc_context(fname='print.rc'):
        plt.plot(x, b)
    plt.plot(x, c)

The ‘a’ vs ‘x’ and ‘c’ vs ‘x’ plots would have settings from ‘screen.rc’, while the ‘b’ vs ‘x’ plot would have settings from ‘print.rc’.

A dictionary can also be passed to the context manager:

with mpl.rc_context(rc={'text.usetex': True}, fname='screen.rc'):
    plt.plot(x, a)

The ‘rc’ dictionary takes precedence over the settings loaded from ‘fname’. Passing a dictionary only is also valid. For example a common usage is:

with mpl.rc_context(rc={'interactive': False}):
    fig, ax = plt.subplots()
    ax.plot(range(3), range(3))
    fig.savefig('A.png', format='png')
    plt.close(fig)
matplotlib.rc(group, **kwargs)

Set the current rc params. 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 rc params 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 rc command 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 rcdefaults() to restore the default rc params after changes.

matplotlib.rc_file(fname)

Update rc params from file.

matplotlib.rcdefaults()

Restore the rc params from Matplotlib’s internal defaults.

See also

rc_file_defaults
Restore the rc params 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.
matplotlib.rc_file_defaults()

Restore the rc params from the original rc file loaded by Matplotlib.

class matplotlib.RcParams(*args, **kwargs)

A dictionary object including validation

validating functions are defined and associated with rc parameters in matplotlib.rcsetup

find_all(pattern)

Return the subset of this RcParams dictionary whose keys match, using re.search(), the given pattern.

Note

Changes to the returned dictionary are not propagated to the parent RcParams dictionary.

msg_depr = '%s is deprecated and replaced with %s; please use the latter.'
msg_depr_ignore = '%s is deprecated and ignored. Use %s'
msg_depr_set = '%s is deprecated. Please remove it from your matplotlibrc and/or style files.'
msg_obsolete = '%s is obsolete. Please remove it from your matplotlibrc and/or style files.'
validate = {'_internal.classic_mode': <function validate_bool at 0x7f9a2903c510>, 'agg.path.chunksize': <function validate_int at 0x7f9a2903c9d8>, 'animation.avconv_args': <function _listify_validator.<locals>.f at 0x7f9a2903e268>, 'animation.avconv_path': <function validate_animation_writer_path at 0x7f9a290422f0>, 'animation.bitrate': <function validate_int at 0x7f9a2903c9d8>, 'animation.codec': <class 'str'>, 'animation.convert_args': <function _listify_validator.<locals>.f at 0x7f9a2903e268>, 'animation.convert_path': <function validate_animation_writer_path at 0x7f9a290422f0>, 'animation.embed_limit': <function validate_float at 0x7f9a2903c6a8>, 'animation.ffmpeg_args': <function _listify_validator.<locals>.f at 0x7f9a2903e268>, 'animation.ffmpeg_path': <function validate_animation_writer_path at 0x7f9a290422f0>, 'animation.frame_format': <matplotlib.rcsetup.ValidateInStrings object at 0x7f9a29041160>, 'animation.html': <matplotlib.rcsetup.ValidateInStrings object at 0x7f9a290411d0>, 'animation.html_args': <function _listify_validator.<locals>.f at 0x7f9a2903e268>, 'animation.mencoder_args': <function _listify_validator.<locals>.f at 0x7f9a2903e268>, 'animation.mencoder_path': <function validate_animation_writer_path at 0x7f9a290422f0>, 'animation.writer': <matplotlib.rcsetup.ValidateInStrings object at 0x7f9a29041128>, 'axes.autolimit_mode': <matplotlib.rcsetup.ValidateInStrings object at 0x7f9a29041668>, 'axes.axisbelow': <function validate_axisbelow at 0x7f9a2903c8c8>, 'axes.edgecolor': <function validate_color at 0x7f9a2903e0d0>, 'axes.facecolor': <function validate_color at 0x7f9a2903e0d0>, 'axes.formatter.limits': <matplotlib.rcsetup.validate_nseq_int object at 0x7f9a290415f8>, 'axes.formatter.min_exponent': <function validate_int at 0x7f9a2903c9d8>, 'axes.formatter.offset_threshold': <function validate_int at 0x7f9a2903c9d8>, 'axes.formatter.use_locale': <function validate_bool at 0x7f9a2903c510>, 'axes.formatter.use_mathtext': <function validate_bool at 0x7f9a2903c510>, 'axes.formatter.useoffset': <function validate_bool at 0x7f9a2903c510>, 'axes.grid': <function validate_bool at 0x7f9a2903c510>, 'axes.grid.axis': <matplotlib.rcsetup.ValidateInStrings object at 0x7f9a29041208>, 'axes.grid.which': <matplotlib.rcsetup.ValidateInStrings object at 0x7f9a29041198>, 'axes.hold': <function deprecate_axes_hold at 0x7f9a2903c620>, 'axes.labelcolor': <function validate_color at 0x7f9a2903e0d0>, 'axes.labelpad': <function validate_float at 0x7f9a2903c6a8>, 'axes.labelsize': <function validate_fontsize at 0x7f9a2903e378>, 'axes.labelweight': <class 'str'>, 'axes.linewidth': <function validate_float at 0x7f9a2903c6a8>, 'axes.prop_cycle': <function validate_cycler at 0x7f9a290421e0>, 'axes.spines.bottom': <function validate_bool at 0x7f9a2903c510>, 'axes.spines.left': <function validate_bool at 0x7f9a2903c510>, 'axes.spines.right': <function validate_bool at 0x7f9a2903c510>, 'axes.spines.top': <function validate_bool at 0x7f9a2903c510>, 'axes.titlepad': <function validate_float at 0x7f9a2903c6a8>, 'axes.titlesize': <function validate_fontsize at 0x7f9a2903e378>, 'axes.titleweight': <class 'str'>, 'axes.unicode_minus': <function validate_bool at 0x7f9a2903c510>, 'axes.xmargin': <matplotlib.rcsetup.ValidateInterval object at 0x7f9a290416a0>, 'axes.ymargin': <matplotlib.rcsetup.ValidateInterval object at 0x7f9a290416d8>, 'axes3d.grid': <function validate_bool at 0x7f9a2903c510>, 'backend': <function validate_backend at 0x7f9a2903cb70>, 'backend.qt4': <matplotlib.rcsetup.ValidateInStrings object at 0x7f9a291b8b00>, 'backend.qt5': <matplotlib.rcsetup.ValidateInStrings object at 0x7f9a29018cf8>, 'backend_fallback': <function validate_bool at 0x7f9a2903c510>, 'boxplot.bootstrap': <function validate_int_or_None at 0x7f9a2903ca60>, 'boxplot.boxprops.color': <function validate_color at 0x7f9a2903e0d0>, 'boxplot.boxprops.linestyle': <function _validate_linestyle at 0x7f9a29042378>, 'boxplot.boxprops.linewidth': <function validate_float at 0x7f9a2903c6a8>, 'boxplot.capprops.color': <function validate_color at 0x7f9a2903e0d0>, 'boxplot.capprops.linestyle': <function _validate_linestyle at 0x7f9a29042378>, 'boxplot.capprops.linewidth': <function validate_float at 0x7f9a2903c6a8>, 'boxplot.flierprops.color': <function validate_color at 0x7f9a2903e0d0>, 'boxplot.flierprops.linestyle': <function _validate_linestyle at 0x7f9a29042378>, 'boxplot.flierprops.linewidth': <function validate_float at 0x7f9a2903c6a8>, 'boxplot.flierprops.marker': <class 'str'>, 'boxplot.flierprops.markeredgecolor': <function validate_color at 0x7f9a2903e0d0>, 'boxplot.flierprops.markerfacecolor': <function validate_color_or_auto at 0x7f9a2903cf28>, 'boxplot.flierprops.markersize': <function validate_float at 0x7f9a2903c6a8>, 'boxplot.meanline': <function validate_bool at 0x7f9a2903c510>, 'boxplot.meanprops.color': <function validate_color at 0x7f9a2903e0d0>, 'boxplot.meanprops.linestyle': <function _validate_linestyle at 0x7f9a29042378>, 'boxplot.meanprops.linewidth': <function validate_float at 0x7f9a2903c6a8>, 'boxplot.meanprops.marker': <class 'str'>, 'boxplot.meanprops.markeredgecolor': <function validate_color at 0x7f9a2903e0d0>, 'boxplot.meanprops.markerfacecolor': <function validate_color at 0x7f9a2903e0d0>, 'boxplot.meanprops.markersize': <function validate_float at 0x7f9a2903c6a8>, 'boxplot.medianprops.color': <function validate_color at 0x7f9a2903e0d0>, 'boxplot.medianprops.linestyle': <function _validate_linestyle at 0x7f9a29042378>, 'boxplot.medianprops.linewidth': <function validate_float at 0x7f9a2903c6a8>, 'boxplot.notch': <function validate_bool at 0x7f9a2903c510>, 'boxplot.patchartist': <function validate_bool at 0x7f9a2903c510>, 'boxplot.showbox': <function validate_bool at 0x7f9a2903c510>, 'boxplot.showcaps': <function validate_bool at 0x7f9a2903c510>, 'boxplot.showfliers': <function validate_bool at 0x7f9a2903c510>, 'boxplot.showmeans': <function validate_bool at 0x7f9a2903c510>, 'boxplot.vertical': <function validate_bool at 0x7f9a2903c510>, 'boxplot.whiskerprops.color': <function validate_color at 0x7f9a2903e0d0>, 'boxplot.whiskerprops.linestyle': <function _validate_linestyle at 0x7f9a29042378>, 'boxplot.whiskerprops.linewidth': <function validate_float at 0x7f9a2903c6a8>, 'boxplot.whiskers': <function validate_whiskers at 0x7f9a2903e510>, 'contour.corner_mask': <function validate_corner_mask at 0x7f9a2903e8c8>, 'contour.negative_linestyle': <function _validate_linestyle at 0x7f9a29042378>, 'datapath': <function validate_path_exists at 0x7f9a2903c488>, 'date.autoformatter.day': <class 'str'>, 'date.autoformatter.hour': <class 'str'>, 'date.autoformatter.microsecond': <class 'str'>, 'date.autoformatter.minute': <class 'str'>, 'date.autoformatter.month': <class 'str'>, 'date.autoformatter.second': <class 'str'>, 'date.autoformatter.year': <class 'str'>, 'docstring.hardcopy': <function validate_bool at 0x7f9a2903c510>, 'errorbar.capsize': <function validate_float at 0x7f9a2903c6a8>, 'examples.directory': <class 'str'>, 'figure.autolayout': <function validate_bool at 0x7f9a2903c510>, 'figure.dpi': <function validate_float at 0x7f9a2903c6a8>, 'figure.edgecolor': <function validate_color at 0x7f9a2903e0d0>, 'figure.facecolor': <function validate_color at 0x7f9a2903e0d0>, 'figure.figsize': <matplotlib.rcsetup.validate_nseq_float object at 0x7f9a29041710>, 'figure.frameon': <function validate_bool at 0x7f9a2903c510>, 'figure.max_open_warning': <function validate_int at 0x7f9a2903c9d8>, 'figure.subplot.bottom': <matplotlib.rcsetup.ValidateInterval object at 0x7f9a290417b8>, 'figure.subplot.hspace': <matplotlib.rcsetup.ValidateInterval object at 0x7f9a29041860>, 'figure.subplot.left': <matplotlib.rcsetup.ValidateInterval object at 0x7f9a29041748>, 'figure.subplot.right': <matplotlib.rcsetup.ValidateInterval object at 0x7f9a29041780>, 'figure.subplot.top': <matplotlib.rcsetup.ValidateInterval object at 0x7f9a290417f0>, 'figure.subplot.wspace': <matplotlib.rcsetup.ValidateInterval object at 0x7f9a29041828>, 'figure.titlesize': <function validate_fontsize at 0x7f9a2903e378>, 'figure.titleweight': <class 'str'>, 'font.cursive': <function _listify_validator.<locals>.f at 0x7f9a2903e268>, 'font.family': <function _listify_validator.<locals>.f at 0x7f9a2903e268>, 'font.fantasy': <function _listify_validator.<locals>.f at 0x7f9a2903e268>, 'font.monospace': <function _listify_validator.<locals>.f at 0x7f9a2903e268>, 'font.sans-serif': <function _listify_validator.<locals>.f at 0x7f9a2903e268>, 'font.serif': <function _listify_validator.<locals>.f at 0x7f9a2903e268>, 'font.size': <function validate_float at 0x7f9a2903c6a8>, 'font.stretch': <class 'str'>, 'font.style': <class 'str'>, 'font.variant': <class 'str'>, 'font.weight': <class 'str'>, 'grid.alpha': <function validate_float at 0x7f9a2903c6a8>, 'grid.color': <function validate_color at 0x7f9a2903e0d0>, 'grid.linestyle': <function _validate_linestyle at 0x7f9a29042378>, 'grid.linewidth': <function validate_float at 0x7f9a2903c6a8>, 'hatch.color': <function validate_color at 0x7f9a2903e0d0>, 'hatch.linewidth': <function validate_float at 0x7f9a2903c6a8>, 'hist.bins': <function validate_hist_bins at 0x7f9a29042268>, 'image.aspect': <function validate_aspect at 0x7f9a2903e2f0>, 'image.cmap': <class 'str'>, 'image.composite_image': <function validate_bool at 0x7f9a2903c510>, 'image.interpolation': <class 'str'>, 'image.lut': <function validate_int at 0x7f9a2903c9d8>, 'image.origin': <class 'str'>, 'image.resample': <function validate_bool at 0x7f9a2903c510>, 'interactive': <function validate_bool at 0x7f9a2903c510>, 'keymap.all_axes': <function _listify_validator.<locals>.f at 0x7f9a2903e268>, 'keymap.back': <function _listify_validator.<locals>.f at 0x7f9a2903e268>, 'keymap.forward': <function _listify_validator.<locals>.f at 0x7f9a2903e268>, 'keymap.fullscreen': <function _listify_validator.<locals>.f at 0x7f9a2903e268>, 'keymap.grid': <function _listify_validator.<locals>.f at 0x7f9a2903e268>, 'keymap.grid_minor': <function _listify_validator.<locals>.f at 0x7f9a2903e268>, 'keymap.home': <function _listify_validator.<locals>.f at 0x7f9a2903e268>, 'keymap.pan': <function _listify_validator.<locals>.f at 0x7f9a2903e268>, 'keymap.quit': <function _listify_validator.<locals>.f at 0x7f9a2903e268>, 'keymap.quit_all': <function _listify_validator.<locals>.f at 0x7f9a2903e268>, 'keymap.save': <function _listify_validator.<locals>.f at 0x7f9a2903e268>, 'keymap.xscale': <function _listify_validator.<locals>.f at 0x7f9a2903e268>, 'keymap.yscale': <function _listify_validator.<locals>.f at 0x7f9a2903e268>, 'keymap.zoom': <function _listify_validator.<locals>.f at 0x7f9a2903e268>, 'legend.borderaxespad': <function validate_float at 0x7f9a2903c6a8>, 'legend.borderpad': <function validate_float at 0x7f9a2903c6a8>, 'legend.columnspacing': <function validate_float at 0x7f9a2903c6a8>, 'legend.edgecolor': <function validate_color_or_inherit at 0x7f9a2903cc80>, 'legend.facecolor': <function validate_color_or_inherit at 0x7f9a2903cc80>, 'legend.fancybox': <function validate_bool at 0x7f9a2903c510>, 'legend.fontsize': <function validate_fontsize at 0x7f9a2903e378>, 'legend.framealpha': <function validate_float_or_None at 0x7f9a2903c7b8>, 'legend.frameon': <function validate_bool at 0x7f9a2903c510>, 'legend.handleheight': <function validate_float at 0x7f9a2903c6a8>, 'legend.handlelength': <function validate_float at 0x7f9a2903c6a8>, 'legend.handletextpad': <function validate_float at 0x7f9a2903c6a8>, 'legend.labelspacing': <function validate_float at 0x7f9a2903c6a8>, 'legend.loc': <matplotlib.rcsetup.ValidateInStrings object at 0x7f9a29023f60>, 'legend.markerscale': <function validate_float at 0x7f9a2903c6a8>, 'legend.numpoints': <function validate_int at 0x7f9a2903c9d8>, 'legend.scatterpoints': <function validate_int at 0x7f9a2903c9d8>, 'legend.shadow': <function validate_bool at 0x7f9a2903c510>, 'lines.antialiased': <function validate_bool at 0x7f9a2903c510>, 'lines.color': <function validate_color at 0x7f9a2903e0d0>, 'lines.dash_capstyle': <matplotlib.rcsetup.ValidateInStrings object at 0x7f9a29023cf8>, 'lines.dash_joinstyle': <matplotlib.rcsetup.ValidateInStrings object at 0x7f9a2901f320>, 'lines.dashdot_pattern': <matplotlib.rcsetup.validate_nseq_float object at 0x7f9a29041518>, 'lines.dashed_pattern': <matplotlib.rcsetup.validate_nseq_float object at 0x7f9a29041278>, 'lines.dotted_pattern': <matplotlib.rcsetup.validate_nseq_float object at 0x7f9a29041550>, 'lines.linestyle': <function _validate_linestyle at 0x7f9a29042378>, 'lines.linewidth': <function validate_float at 0x7f9a2903c6a8>, 'lines.marker': <class 'str'>, 'lines.markeredgewidth': <function validate_float at 0x7f9a2903c6a8>, 'lines.markersize': <function validate_float at 0x7f9a2903c6a8>, 'lines.scale_dashes': <function validate_bool at 0x7f9a2903c510>, 'lines.solid_capstyle': <matplotlib.rcsetup.ValidateInStrings object at 0x7f9a29023cf8>, 'lines.solid_joinstyle': <matplotlib.rcsetup.ValidateInStrings object at 0x7f9a2901f320>, 'markers.fillstyle': <matplotlib.rcsetup.ValidateInStrings object at 0x7f9a29023dd8>, 'mathtext.bf': <function validate_font_properties at 0x7f9a2903e488>, 'mathtext.cal': <function validate_font_properties at 0x7f9a2903e488>, 'mathtext.default': <matplotlib.rcsetup.ValidateInStrings object at 0x7f9a2901f240>, 'mathtext.fallback_to_cm': <function validate_bool at 0x7f9a2903c510>, 'mathtext.fontset': <matplotlib.rcsetup.ValidateInStrings object at 0x7f9a29018e10>, 'mathtext.it': <function validate_font_properties at 0x7f9a2903e488>, 'mathtext.rm': <function validate_font_properties at 0x7f9a2903e488>, 'mathtext.sf': <function validate_font_properties at 0x7f9a2903e488>, 'mathtext.tt': <function validate_font_properties at 0x7f9a2903e488>, 'nbagg.transparent': <function validate_bool at 0x7f9a2903c510>, 'patch.antialiased': <function validate_bool at 0x7f9a2903c510>, 'patch.edgecolor': <function validate_color at 0x7f9a2903e0d0>, 'patch.facecolor': <function validate_color at 0x7f9a2903e0d0>, 'patch.force_edgecolor': <function validate_bool at 0x7f9a2903c510>, 'patch.linewidth': <function validate_float at 0x7f9a2903c6a8>, 'path.effects': <function validate_any at 0x7f9a2903c378>, 'path.simplify': <function validate_bool at 0x7f9a2903c510>, 'path.simplify_threshold': <matplotlib.rcsetup.ValidateInterval object at 0x7f9a29041898>, 'path.sketch': <function validate_sketch at 0x7f9a2903ed08>, 'path.snap': <function validate_bool at 0x7f9a2903c510>, 'pdf.compression': <function validate_int at 0x7f9a2903c9d8>, 'pdf.fonttype': <function validate_fonttype at 0x7f9a2903cae8>, 'pdf.inheritcolor': <function validate_bool at 0x7f9a2903c510>, 'pdf.use14corefonts': <function validate_bool at 0x7f9a2903c510>, 'pgf.debug': <function validate_bool at 0x7f9a2903c510>, 'pgf.preamble': <function _listify_validator.<locals>.f at 0x7f9a2903e268>, 'pgf.rcfonts': <function validate_bool at 0x7f9a2903c510>, 'pgf.texsystem': <matplotlib.rcsetup.ValidateInStrings object at 0x7f9a290410f0>, 'plugins.directory': <class 'str'>, 'polaraxes.grid': <function validate_bool at 0x7f9a2903c510>, 'ps.distiller.res': <function validate_int at 0x7f9a2903c9d8>, 'ps.fonttype': <function validate_fonttype at 0x7f9a2903cae8>, 'ps.papersize': <matplotlib.rcsetup.ValidateInStrings object at 0x7f9a2901f2e8>, 'ps.useafm': <function validate_bool at 0x7f9a2903c510>, 'ps.usedistiller': <function validate_ps_distiller at 0x7f9a2903e620>, 'savefig.bbox': <function validate_bbox at 0x7f9a2903ec80>, 'savefig.directory': <class 'str'>, 'savefig.dpi': <function validate_dpi at 0x7f9a2903c950>, 'savefig.edgecolor': <function validate_color at 0x7f9a2903e0d0>, 'savefig.facecolor': <function validate_color at 0x7f9a2903e0d0>, 'savefig.format': <function update_savefig_format at 0x7f9a2903e598>, 'savefig.frameon': <function validate_bool at 0x7f9a2903c510>, 'savefig.jpeg_quality': <function validate_int at 0x7f9a2903c9d8>, 'savefig.orientation': <matplotlib.rcsetup.ValidateInStrings object at 0x7f9a29018d68>, 'savefig.pad_inches': <function validate_float at 0x7f9a2903c6a8>, 'savefig.transparent': <function validate_bool at 0x7f9a2903c510>, 'scatter.marker': <class 'str'>, 'svg.fonttype': <matplotlib.rcsetup.ValidateInStrings object at 0x7f9a29023fd0>, 'svg.hashsalt': <function validate_string_or_None at 0x7f9a2903c840>, 'svg.image_inline': <function validate_bool at 0x7f9a2903c510>, 'text.antialiased': <function validate_bool at 0x7f9a2903c510>, 'text.color': <function validate_color at 0x7f9a2903e0d0>, 'text.hinting': <function validate_hinting at 0x7f9a2903ebf8>, 'text.hinting_factor': <function validate_int at 0x7f9a2903c9d8>, 'text.latex.preamble': <function _listify_validator.<locals>.f at 0x7f9a2903e268>, 'text.latex.preview': <function validate_bool at 0x7f9a2903c510>, 'text.latex.unicode': <function validate_bool at 0x7f9a2903c510>, 'text.usetex': <function validate_bool at 0x7f9a2903c510>, 'timezone': <class 'str'>, 'tk.window_focus': <function validate_bool at 0x7f9a2903c510>, 'toolbar': <function validate_toolbar at 0x7f9a2903cbf8>, 'verbose.fileo': <class 'str'>, 'verbose.level': <matplotlib.rcsetup.ValidateInStrings object at 0x7f9a2901f278>, 'webagg.open_in_browser': <function validate_bool at 0x7f9a2903c510>, 'webagg.port': <function validate_int at 0x7f9a2903c9d8>, 'webagg.port_retries': <function validate_int at 0x7f9a2903c9d8>, 'xtick.alignment': <matplotlib.rcsetup.ValidateInStrings object at 0x7f9a2901f2b0>, 'xtick.bottom': <function validate_bool at 0x7f9a2903c510>, 'xtick.color': <function validate_color at 0x7f9a2903e0d0>, 'xtick.direction': <class 'str'>, 'xtick.labelsize': <function validate_fontsize at 0x7f9a2903e378>, 'xtick.major.bottom': <function validate_bool at 0x7f9a2903c510>, 'xtick.major.pad': <function validate_float at 0x7f9a2903c6a8>, 'xtick.major.size': <function validate_float at 0x7f9a2903c6a8>, 'xtick.major.top': <function validate_bool at 0x7f9a2903c510>, 'xtick.major.width': <function validate_float at 0x7f9a2903c6a8>, 'xtick.minor.bottom': <function validate_bool at 0x7f9a2903c510>, 'xtick.minor.pad': <function validate_float at 0x7f9a2903c6a8>, 'xtick.minor.size': <function validate_float at 0x7f9a2903c6a8>, 'xtick.minor.top': <function validate_bool at 0x7f9a2903c510>, 'xtick.minor.visible': <function validate_bool at 0x7f9a2903c510>, 'xtick.minor.width': <function validate_float at 0x7f9a2903c6a8>, 'xtick.top': <function validate_bool at 0x7f9a2903c510>, 'ytick.alignment': <matplotlib.rcsetup.ValidateInStrings object at 0x7f9a2901f2b0>, 'ytick.color': <function validate_color at 0x7f9a2903e0d0>, 'ytick.direction': <class 'str'>, 'ytick.labelsize': <function validate_fontsize at 0x7f9a2903e378>, 'ytick.left': <function validate_bool at 0x7f9a2903c510>, 'ytick.major.left': <function validate_bool at 0x7f9a2903c510>, 'ytick.major.pad': <function validate_float at 0x7f9a2903c6a8>, 'ytick.major.right': <function validate_bool at 0x7f9a2903c510>, 'ytick.major.size': <function validate_float at 0x7f9a2903c6a8>, 'ytick.major.width': <function validate_float at 0x7f9a2903c6a8>, 'ytick.minor.left': <function validate_bool at 0x7f9a2903c510>, 'ytick.minor.pad': <function validate_float at 0x7f9a2903c6a8>, 'ytick.minor.right': <function validate_bool at 0x7f9a2903c510>, 'ytick.minor.size': <function validate_float at 0x7f9a2903c6a8>, 'ytick.minor.visible': <function validate_bool at 0x7f9a2903c510>, 'ytick.minor.width': <function validate_float at 0x7f9a2903c6a8>, 'ytick.right': <function validate_bool at 0x7f9a2903c510>}
matplotlib.rc_params(fail_on_error=False)

Return a matplotlib.RcParams instance from the default matplotlib rc file.

matplotlib.rc_params_from_file(fname, fail_on_error=False, use_default_template=True)

Return matplotlib.RcParams from the contents of the given file.

Parameters:

fname : str

Name of file parsed for matplotlib 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.)

matplotlib.matplotlib_fname()

Get the location of the config file.

The file location is determined in the following order

  • $PWD/matplotlibrc

  • $MATPLOTLIBRC if it is a file

  • $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 for a system-defined copy.

matplotlib.interactive(b)

Set interactive mode to boolean b.

If b is True, then draw after every plotting command, e.g., after xlabel

matplotlib.is_interactive()

Return true if plot mode is interactive