Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://proplot.readthedocs.io/en/latest/api/proplot.config.Configurator.context.html below:

Configurator.context — ProPlot documentation

Configurator.context(*args, mode=0, file=None, **kwargs)[source]¶

Temporarily modify the rc settings in a “with as” block.

Parameters

• *args – Dictionaries of rc keys and values.

• file (path-like, optional) – Filename from which settings should be loaded.

• **kwargs – rc names and values passed as keyword arguments. If the name has dots, simply omit them.

Other Parameters

mode ({0, 1, 2}, optional) – The context mode. Dictates the behavior of find, fill, and category within a “with as” block when called with context=True.

The options are as follows:

• mode=0: Matplotlib’s rc_matplotlib settings and proplot’s rc_proplot settings are all returned, whether or not they are local to the “with as” block.

• mode=1: Matplotlib’s rc_matplotlib settings are only returned if they are local to the “with as” block. For example, if rc['axes.titlesize'] was passed to context, then pplt.rc.find('axes.titlesize', context=True) will return this value, but pplt.rc.find('axes.titleweight', context=True) will return None. This is used internally when instantiating axes.

• mode=2: Matplotlib’s rc_matplotlib settings and proplot’s rc_proplot settings are only returned if they are local to the “with as” block. This is used internally when formatting axes.

Note

Context “modes” are primarily used internally but may also be useful for power users. Mode 1 is used when format is called during axes instantiation, and mode 2 is used when format is manually called by users. The latter prevents successive calls to format from constantly looking up and re-applying unchanged settings and significantly increasing the runtime.

Example

The below applies settings to axes in a specific figure using context.

>>> import proplot as pplt
>>> with pplt.rc.context(ticklen=5, metalinewidth=2):
>>>     fig, ax = pplt.subplots()
>>>     ax.plot(data)

The below applies settings to a specific axes using format, which uses context internally.

>>> import proplot as pplt
>>> fig, ax = pplt.subplots()
>>> ax.format(ticklen=5, metalinewidth=2)

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4