Uses the backend specified by the option plotting.backend . By default, matplotlib is used.

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 :None:None:`position` keyword. From 0 (left/bottom-end) to 1 (right/top-end). Default is 0.5 (center)

Parameters

data : Series or DataFrame

The object for which the method is called.

x : label or position, default None

Only used if data is a DataFrame.

y : label, position or list of label, positions, default None

Allows plotting of one column versus another. Only used if data is a DataFrame.

kind : str

The kind of plot to produce:

ax : matplotlib axes object, default None

An axes of the current figure.

subplots : bool, default False

Make separate subplots for each column.

sharex : bool, default True if ax is None else False

In case subplots=True , share x axis and set some x axis labels to invisible; defaults to True if ax is None otherwise False if an ax is passed in; Be aware, that passing in both an ax and sharex=True will alter all x axis labels for all axis in a figure.

sharey : bool, default False

In case subplots=True , share y axis and set some y axis labels to invisible.

layout : tuple, optional

(rows, columns) for the layout of subplots.

figsize : a tuple (width, height) in inches

Size of a figure object.

use_index : bool, default True

Use index as ticks for x axis.

title : str or list

Title to use for the plot. If a string is passed, print the string at the top of the figure. If a list is passed and :None:None:`subplots` is True, print each item in the list above the corresponding subplot.

grid : bool, default None (matlab style default)

Axis grid lines.

legend : bool or {'reverse'}

Place legend on axis subplots.

style : list or dict

The matplotlib line style per column.

logx : bool or 'sym', default False

Use log scaling or symlog scaling on x axis. .. versionchanged:: 0.25.0

logy : bool or 'sym' default False

Use log scaling or symlog scaling on y axis. .. versionchanged:: 0.25.0

loglog : bool or 'sym', default False

Use log scaling or symlog scaling on both x and y axes. .. versionchanged:: 0.25.0

xticks : sequence

Values to use for the xticks.

yticks : sequence

Values to use for the yticks.

xlim : 2-tuple/list

Set the x limits of the current axes.

ylim : 2-tuple/list

Set the y limits of the current axes.

xlabel : label, optional

Name to use for the xlabel on x-axis. Default uses index name as xlabel, or the x-column name for planar plots.

versionadded

versionchanged

Now applicable to planar plots (:None:None:`scatter`, :None:None:`hexbin`).

ylabel : label, optional

Name to use for the ylabel on y-axis. Default will show no ylabel, or the y-column name for planar plots.

versionadded

versionchanged

Now applicable to planar plots (:None:None:`scatter`, :None:None:`hexbin`).

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 : bool, 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).

table : bool, 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 <visualization.errorbars> for detail.

xerr : DataFrame, Series, array-like, dict and str

Equivalent to yerr.

stacked : bool, default False in line and bar plots, and True in area plot

If True, create stacked plot.

sort_columns : bool, default False

Sort column names to determine plot ordering.

secondary_y : bool or sequence, default False

Whether to plot on the secondary y-axis if a list/tuple, which columns to plot on secondary y-axis.

mark_right : bool, default True

When using a secondary_y axis, automatically mark the column labels with "(right)" in the legend.

include_bool : bool, default is False

If True, boolean values can be plotted.

backend : str, default None

Backend to use instead of the backend specified in the option plotting.backend . For instance, 'matplotlib'. Alternatively, to specify the plotting.backend for the whole session, set pd.options.plotting.backend .

versionadded

**kwargs :

Options to pass to matplotlib plotting method.

Returns

:class:`matplotlib.axes.Axes` or numpy.ndarray of them

If the backend is not the default matplotlib one, the return value will be the object returned by the backend.

Make plots of Series or DataFrame.

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them

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File: /pandas/plotting/_core.py#620
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