Return a parameter dict to scale elements of the figure.
This affects things like the size of the labels, lines, and other elements of the plot, but not the overall style. The base context is “notebook”, and the other contexts are “paper”, “talk”, and “poster”, which are version of the notebook parameters scaled by .8, 1.3, and 1.6, respectively.
This function returns an object that can be used in a `with` statement to temporarily change the context parameters.
参数:`context`:dict, None, or one of {paper, notebook, talk, poster}
> Separate scaling factor to independently scale the size of the font elements.
> 参数集或者是预设集合的名字
`rc`:dict, optional
`font_scale`:浮点数,可选
> Parameter mappings to override the values in the preset seaborn context dictionaries. This only updates parameters that are considered part of the context definition.
> 单独的缩放因子可以独立缩放字体元素大小
`rc`:dict,可选
> 参数映射以覆盖预设的seaborn的文本字典中的值。这只更新被视为文本定义的一部分的参数。
See also
也可参见
set the matplotlib parameters to scale plot elementsreturn a dict of parameters defining a figure styledefine the color palette for a plot
This affects things like the size of the labels, lines, and other elements of the plot, but not the overall style. The base context is “notebook”, and the other contexts are “paper”, “talk”, and “poster”, which are version of the notebook parameters scaled by .8, 1.3, and 1.6, respectively.
参数:`context`:dict, None, or one of {paper, notebook, talk, poster}
> A dictionary of parameters or the name of a preconfigured set.
`font_scale`:float, optional
> Separate scaling factor to independently scale the size of the font elements.
`rc`:dict, optional
> Parameter mappings to override the values in the preset seaborn context dictionaries. This only updates parameters that are considered part of the context definition.
See also
return a dictionary of rc parameters, or use in a `with` statement to temporarily set the context.set the default parameters for figure styleset the default color palette for figures
> Named seaborn palette to use as the source of colors.
See also
Color codes can be set through the high-level seaborn style manager.Color codes can also be set through the function that sets the matplotlib color cycle.
Examples
Map matplotlib color codes to the default seaborn palette.