xarray.DataArray.plot.line

DataArray.plot.line(*args, row=None, col=None, figsize=None, aspect=None, size=None, ax=None, hue=None, x=None, y=None, xincrease=None, yincrease=None, xscale=None, yscale=None, xticks=None, yticks=None, xlim=None, ylim=None, add_legend=True, _labels=True, **kwargs)

Line plot of DataArray index against values

Wraps matplotlib.pyplot.plot()

Parameters

  • darray (DataArray) – Must be 1 dimensional

  • figsize (tuple, optional) – A tuple (width, height) of the figure in inches. Mutually exclusive with size and ax.

  • aspect (scalar, 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) – Axis on which to plot this figure. By default, use the current axis. Mutually exclusive with size and figsize.

  • hue (string, optional) – Dimension or coordinate for which you want multiple lines plotted. If plotting against a 2D coordinate, hue must be a dimension.

  • x, y (string, optional) – Dimension, coordinate or MultiIndex level for x, y axis. Only one of these may be specified. The other coordinate plots values from the DataArray on which this plot method is called.

  • xscale, yscale ('linear', 'symlog', 'log', 'logit', optional) – Specifies scaling for the x- and y-axes respectively

  • xticks, yticks (Specify tick locations for x- and y-axes)

  • xlim, ylim (Specify x- and y-axes limits)

  • xincrease (None, True, or False, optional) – Should the values on the x axes be increasing from left to right? if None, use the default for the matplotlib function.

  • yincrease (None, True, or False, optional) – Should the values on the y axes be increasing from top to bottom? if None, use the default for the matplotlib function.

  • add_legend (bool, optional) – Add legend with y axis coordinates (2D inputs only).

  • *args, **kwargs (optional) – Additional arguments to matplotlib.pyplot.plot