Series.plot()

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 to s.plot.line().

Parameters:

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

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 by position keyword. From 0 (left/bottom-end) to 1 (right/top-end). Default is 0.5 (center)

Links:

http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.Series.plot.html

doc_Pandas

2017-01-12 04:54:24

Comments