Series.plot.
line
Plot Series or DataFrame as lines.
This function is useful to plot lines using DataFrame’s values as coordinates.
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:
for instance ‘red’ or ‘#a98d19’.
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.
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.
1.1.0 新版功能.
**kwargs – Additional keyword arguments are documented in DataFrame.plot().
DataFrame.plot()
An ndarray is returned with one matplotlib.axes.Axes per column when subplots=True.
matplotlib.axes.Axes
subplots=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) (Source code, png, hires.png, pdf) (Source code, png, hires.png, pdf)
matplotlib.pyplot.plot : Plot y versus x as lines and/or markers.
(Source code, png, hires.png, pdf)
(Source code)
matplotlib.axes.Axes or np.ndarray of them