matplotlib.pyplot.title#

matplotlib.pyplot.title(label, fontdict=None, loc=None, pad=None, *, y=None, **kwargs)[source]#

Set a title for the Axes.

Set one of the three available Axes titles. The available titles are positioned above the Axes in the center, flush with the left edge, and flush with the right edge.

Parameters:

labelstr

Text to use for the title

fontdictdict

Discouraged

The use of fontdict is discouraged. Parameters should be passed as individual keyword arguments or using dictionary-unpacking set_title(..., **fontdict).

A dictionary controlling the appearance of the title text, the default fontdict is:

{'fontsize': rcParams['axes.titlesize'],
 'fontweight': rcParams['axes.titleweight'],
 'color': rcParams['axes.titlecolor'],
 'verticalalignment': 'baseline',
 'horizontalalignment': loc}

loc{'center', 'left', 'right'}, default: rcParams["axes.titlelocation"] (default: 'center')

Which title to set.

yfloat, default: rcParams["axes.titley"] (default: None)

Vertical Axes location for the title (1.0 is the top). If None (the default) and rcParams["axes.titley"] (default: None) is also None, y is determined automatically to avoid decorators on the Axes.

padfloat, default: rcParams["axes.titlepad"] (default: 6.0)

The offset of the title from the top of the Axes, in points.

Returns:

Text

The matplotlib text instance representing the title

Other Parameters:

**kwargsText properties

Other keyword arguments are text properties, see Text for a list of valid text properties.

Notes

Note

This is the pyplot wrapper for axes.Axes.set_title.

Examples using matplotlib.pyplot.title#

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Stairs Demo

Stairs Demo

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Step Demo

Step Demo

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Plotting masked and NaN values

Plotting masked and NaN values

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Multiple subplots

Multiple subplots

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Geographic Projections

Geographic Projections

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Custom scale

Custom scale

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Controlling style of text and labels using a dictionary

Controlling style of text and labels using a dictionary

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Title positioning

Title positioning

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Solarized Light stylesheet

Solarized Light stylesheet

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Style sheets reference

Style sheets reference

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Basic plot

Basic plot

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Two subplots using pyplot

Two subplots using pyplot

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Interactive functions

Interactive functions

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SVG Histogram

SVG Histogram

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Findobj Demo

Findobj Demo

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Multipage PDF

Multipage PDF

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Set and get properties

Set and get properties

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Table Demo

Table Demo

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Zorder Demo

Zorder Demo

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The Sankey class

The Sankey class

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Pyplot tutorial

Pyplot tutorial

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Quick start guide

Quick start guide