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Series.plot(kind='line', ax=None, figsize=None, use_index=True, title=None, grid=None, legend=False, style=None, logx=False, logy=False, loglog=False, xticks=None, yticks=None, xlim=None, ylim=None, rot=None, fontsize=None, colormap=None, table=False, yerr=None, xerr=None, label=None, secondary_y=False, **kwds)
[source] -
Make plots of Series using matplotlib / pylab.
New in version 0.17.0: Each plot kind has a corresponding method on the
Series.plot
accessor:s.plot(kind='line')
is equivalent tos.plot.line()
.Parameters: data : Series
kind : str
- ?line? : line plot (default)
- ?bar? : vertical bar plot
- ?barh? : horizontal bar plot
- ?hist? : histogram
- ?box? : boxplot
- ?kde? : Kernel Density Estimation plot
- ?density? : same as ?kde?
- ?area? : area plot
- ?pie? : pie plot
ax : matplotlib axes object
If not passed, uses gca()
figsize : a tuple (width, height) in inches
use_index : boolean, default True
Use index as ticks for x axis
title : string
Title to use for the plot
grid : boolean, default None (matlab style default)
Axis grid lines
legend : False/True/?reverse?
Place legend on axis subplots
style : list or dict
matplotlib line style per column
logx : boolean, default False
Use log scaling on x axis
logy : boolean, default False
Use log scaling on y axis
loglog : boolean, default False
Use log scaling on both x and y axes
xticks : sequence
Values to use for the xticks
yticks : sequence
Values to use for the yticks
xlim : 2-tuple/list
ylim : 2-tuple/list
rot : int, default None
Rotation for ticks (xticks for vertical, yticks for horizontal plots)
fontsize : int, default None
Font size for xticks and yticks
colormap : str or matplotlib colormap object, default None
Colormap to select colors from. If string, load colormap with that name from matplotlib.
colorbar : boolean, optional
If True, plot colorbar (only relevant for ?scatter? and ?hexbin? plots)
position : float
Specify relative alignments for bar plot layout. From 0 (left/bottom-end) to 1 (right/top-end). Default is 0.5 (center)
layout : tuple (optional)
(rows, columns) for the layout of the plot
table : boolean, Series or DataFrame, default False
If True, draw a table using the data in the DataFrame and the data will be transposed to meet matplotlib?s default layout. If a Series or DataFrame is passed, use passed data to draw a table.
yerr : DataFrame, Series, array-like, dict and str
See Plotting with Error Bars for detail.
xerr : same types as yerr.
label : label argument to provide to plot
secondary_y : boolean or sequence of ints, default False
If True then y-axis will be on the right
mark_right : boolean, default True
When using a secondary_y axis, automatically mark the column labels with ?(right)? in the legend
kwds : keywords
Options to pass to matplotlib plotting method
Returns: axes : matplotlib.AxesSubplot or np.array of them
Notes
- See matplotlib documentation online for more on this subject
- If
kind
= ?bar? or ?barh?, you can specify relative alignments for bar plot layout byposition
keyword. From 0 (left/bottom-end) to 1 (right/top-end). Default is 0.5 (center)
Series.plot()
2017-01-12 04:54:24
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