pandas.DataFrame.plot

DataFrame.plot(self, *args, **kwargs)

Make plots of Series or DataFrame.

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

Parameters

dataSeries or DataFrame

The object for which the method is called.

xlabel or position, default None

Only used if data is a DataFrame.

ylabel, position or list of label, positions, default None

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

kindstr

The kind of plot to produce:

• ‘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

• ‘scatter’ : scatter plot

• ‘hexbin’ : hexbin plot.

figsizea tuple (width, height) in inches

use_indexbool, default True

Use index as ticks for x axis.

titlestr 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 subplots is True, print each item in the list above the corresponding subplot.

gridbool, default None (matlab style default)

Axis grid lines.

legendbool or {‘reverse’}

Place legend on axis subplots.

stylelist or dict

The matplotlib line style per column.

logxbool or ‘sym’, default False

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

logybool or ‘sym’ default False

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

loglogbool or ‘sym’, default False

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

xtickssequence

Values to use for the xticks.

ytickssequence

Values to use for the yticks.

xlim2-tuple/list

ylim2-tuple/list

rotint, default None

Rotation for ticks (xticks for vertical, yticks for horizontal plots).

fontsizeint, default None

Font size for xticks and yticks.

colormapstr or matplotlib colormap object, default None

Colormap to select colors from. If string, load colormap with that name from matplotlib.

colorbarbool, optional

If True, plot colorbar (only relevant for ‘scatter’ and ‘hexbin’ plots).

positionfloat

Specify relative alignments for bar plot layout. From 0 (left/bottom-end) to 1 (right/top-end). Default is 0.5 (center).

tablebool, 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.

yerrDataFrame, Series, array-like, dict and str

See Plotting with Error Bars for detail.

xerrDataFrame, Series, array-like, dict and str

Equivalent to yerr.

mark_rightbool, default True

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

include_boolbool, default is False

If True, boolean values can be plotted.

backendstr, 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.

New in version 1.0.0.

**kwargs

Options to pass to matplotlib plotting method.

Returns

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.

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)

pandas.DataFrame.pivot_table pandas.DataFrame.pop