matplotlib.pyplot.text#

matplotlib.pyplot.text(x, y, s, fontdict=None, **kwargs)[source]#

Add text to the Axes.

Add the text s to the Axes at location x, y in data coordinates, with a default horizontalalignment on the left and verticalalignment at the baseline. See Text alignment.

Parameters:

x, yfloat

The position to place the text. By default, this is in data coordinates. The coordinate system can be changed using the transform parameter.

sstr

The text.

fontdictdict, default: None

Discouraged

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

A dictionary to override the default text properties. If fontdict is None, the defaults are determined by rcParams.

Returns:

Text

The created Text instance.

Other Parameters:

**kwargsText properties.

Other miscellaneous text parameters.

Property	Description
agg_filter	a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array and two offsets from the bottom left corner of the image
alpha	float or None
animated	bool
antialiased	bool
backgroundcolor	color
bbox	dict with properties for FancyBboxPatch or None
clip_box	unknown
clip_on	unknown
clip_path	unknown
color or c	color
figure	Figure or SubFigure
fontfamily or family or fontname	{FONTNAME, 'serif', 'sans-serif', 'cursive', 'fantasy', 'monospace'}
fontfeatures	list of str, or tuple of str, or None
fontproperties or font or font_properties	font_manager.FontProperties or str or pathlib.Path
fontsize or size	float or {'xx-small', 'x-small', 'small', 'medium', 'large', 'x-large', 'xx-large'}
fontstretch or stretch	{a numeric value in range 0-1000, 'ultra-condensed', 'extra-condensed', 'condensed', 'semi-condensed', 'normal', 'semi-expanded', 'expanded', 'extra-expanded', 'ultra-expanded'}
fontstyle or style	{'normal', 'italic', 'oblique'}
fontvariant or variant	{'normal', 'small-caps'}
fontweight or weight	{a numeric value in range 0-1000, 'ultralight', 'light', 'normal', 'regular', 'book', 'medium', 'roman', 'semibold', 'demibold', 'demi', 'bold', 'heavy', 'extra bold', 'black'}
gid	str
horizontalalignment or ha	{'left', 'center', 'right'}
in_layout	bool
label	object
language	str or None
linespacing	'normal' or float, default: 'normal'
math_fontfamily	str
mouseover	bool
multialignment or ma	{'left', 'right', 'center'}
parse_math	bool
path_effects	list of AbstractPathEffect
picker	None or bool or float or callable
position	(float, float)
rasterized	bool
rotation	float or {'vertical', 'horizontal'}
rotation_mode	{None, 'default', 'anchor', 'xtick', 'ytick'}
sketch_params	(scale: float, length: float, randomness: float)
snap	bool or None
text	object
transform	Transform
transform_rotates_text	bool
url	str
usetex	bool, default: rcParams["text.usetex"] (default: False)
verticalalignment or va	{'baseline', 'bottom', 'center', 'center_baseline', 'top'}
visible	bool
wrap	bool
x	float
y	float
zorder	float

Notes

Note

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

Examples

Individual keyword arguments can be used to override any given parameter:

>>> text(x, y, s, fontsize=12)

The default transform specifies that text is in data coords, alternatively, you can specify text in axis coords ((0, 0) is lower-left and (1, 1) is upper-right). The example below places text in the center of the Axes:

>>> text(0.5, 0.5, 'matplotlib', horizontalalignment='center',
...      verticalalignment='center', transform=ax.transAxes)

You can put a rectangular box around the text instance (e.g., to set a background color) by using the keyword bbox. bbox is a dictionary of Rectangle properties. For example:

>>> text(x, y, s, bbox=dict(facecolor='red', alpha=0.5))

Examples using matplotlib.pyplot.text#

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Figure size in different units

Figure size in different units

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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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Auto-wrap text

Auto-wrap text

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Text rotation mode

Text rotation mode

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Styling text boxes

Styling text boxes

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Close event

Close event

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transforms.offset_copy

transforms.offset_copy

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Anscombe's quartet

Anscombe's quartet

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Pyplot tutorial

Pyplot tutorial

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Path effects guide

Path effects guide