plot.
line
Plot DataFrame/Series as lines.
This function is useful to plot lines using Series’s values as coordinates.
Columns to use for the horizontal axis. Either the location or the label of the columns to be used. By default, it will use the DataFrame indices.
The values to be plotted. Either the location or the label of the columns to be used. By default, it will use the remaining DataFrame numeric columns.
Keyword arguments to pass on to Series.plot() or DataFrame.plot().
Series.plot()
DataFrame.plot()
plotly.graph_objs.Figure
Return an custom object when backend!=plotly. Return an ndarray when subplots=True (matplotlib-only).
backend!=plotly
subplots=True
See also
plotly.express.line
Plot y versus x as lines and/or markers (plotly).
matplotlib.pyplot.plot
Plot y versus x as lines and/or markers (matplotlib).
Examples
Basic plot.
For Series:
>>> s = ps.Series([1, 3, 2]) >>> s.plot.line()
For DataFrame:
The following example shows the populations for some animals over the years.
>>> df = ps.DataFrame({'pig': [20, 18, 489, 675, 1776], ... 'horse': [4, 25, 281, 600, 1900]}, ... index=[1990, 1997, 2003, 2009, 2014]) >>> df.plot.line()
The following example shows the relationship between both populations.
>>> df = ps.DataFrame({'pig': [20, 18, 489, 675, 1776], ... 'horse': [4, 25, 281, 600, 1900]}, ... index=[1990, 1997, 2003, 2009, 2014]) >>> df.plot.line(x='pig', y='horse')