xarray.plot.hist (original) (raw)

xarray.plot.hist(darray, *args, figsize=None, size=None, aspect=None, ax=None, xincrease=None, yincrease=None, xscale=None, yscale=None, xticks=None, yticks=None, xlim=None, ylim=None, **kwargs)[source]#

Histogram of DataArray.

Wraps matplotlib.pyplot.hist().

Plots _N_-dimensional arrays by first flattening the array.

Parameters:

• darray (DataArray) – Can have any number of dimensions.
• figsize (Iterable of float, optional) – A tuple (width, height) of the figure in inches. Mutually exclusive with size and ax.
• aspect ("auto", "equal", scalar or None, optional) – Aspect ratio of plot, so that aspect * size gives the width in inches. Only used if a size is provided.
• size (scalar, optional) – If provided, create a new figure for the plot with the given size:height (in inches) of each plot. See also: aspect.
• ax (matplotlib axes object, optional) – Axes on which to plot. By default, use the current axes. Mutually exclusive with size and figsize.
• xincrease (bool or None, optional) – Should the values on the x axis be increasing from left to right? if None, use the default for the Matplotlib function.
• yincrease (bool or None, optional) – Should the values on the y axis be increasing from top to bottom? if None, use the default for the Matplotlib function.
• xscale, yscale ({'linear', 'symlog', 'log', 'logit'}, optional) – Specifies scaling for the _x_- and _y_-axis, respectively.
• xticks, yticks (array-like, optional) – Specify tick locations for _x_- and _y_-axis.
• xlim, ylim (tuple[float, float], optional) – Specify _x_- and _y_-axis limits.
• **kwargs (optional) – Additional keyword arguments to matplotlib.pyplot.hist().