mars.dataframe.Series.plot.line#
- Series.plot.line(*args, **kwargs)#
Plot Series or DataFrame as lines.
This function is useful to plot lines using DataFrame’s values as coordinates.
- Parameters
x (label or position, optional) – Allows plotting of one column versus another. If not specified, the index of the DataFrame is used.
y (label or position, optional) – Allows plotting of one column versus another. If not specified, all numerical columns are used.
color (str, array-like, or dict, optional) –
The color for each of the DataFrame’s columns. Possible values are:
- A single color string referred to by name, RGB or RGBA code,
for instance ‘red’ or ‘#a98d19’.
- A sequence of color strings referred to by name, RGB or RGBA
code, which will be used for each column recursively. For instance [‘green’,’yellow’] each column’s line will be filled in green or yellow, alternatively. If there is only a single column to be plotted, then only the first color from the color list will be used.
- A dict of the form {column namecolor}, so that each column will be
colored accordingly. For example, if your columns are called a and b, then passing {‘a’: ‘green’, ‘b’: ‘red’} will color lines for column a in green and lines for column b in red.
New in version 1.1.0.
**kwargs – Additional keyword arguments are documented in
DataFrame.plot()
.
- Returns
An ndarray is returned with one
matplotlib.axes.Axes
per column whensubplots=True
.matplotlib.pyplot.plot : Plot y versus x as lines and/or markers.
(Source code, png, hires.png, pdf)
(Source code, png, hires.png, pdf)
(Source code, png, hires.png, pdf)
(Source code, png, hires.png, pdf)
- Return type
matplotlib.axes.Axes or np.ndarray of them