xarray.plot.hist#
- 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
) β Can have any number of dimensions.figsize (
Iterable
offloat
, optional) β A tuple (width, height) of the figure in inches. Mutually exclusive withsize
andax
.aspect (
"auto"
,"equal"
, scalar orNone
, optional) β Aspect ratio of plot, so thataspect * size
gives the width in inches. Only used if asize
is provided.size (scalar, optional) β 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) β Axes on which to plot. By default, use the current axes. Mutually exclusive withsize
andfigsize
.xincrease (
bool
orNone
, optional) β Should the values on the x axis be increasing from left to right? ifNone
, use the default for the Matplotlib function.yincrease (
bool
orNone
, optional) β Should the values on the y axis be increasing from top to bottom? ifNone
, use the default for the Matplotlib function.xscale, yscale (
{'linear', 'symlog', 'log', 'logit'}
, optional) β Specifies scaling for the x- and y-axis, respectively.xticks, yticks (array-like, optional) β Specify tick locations for x- and y-axis.
xlim, ylim (
tuple[float
,float]
, optional) β Specify x- and y-axis limits.**kwargs (optional) β Additional keyword arguments to
matplotlib.pyplot.hist()
.