Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.
matplotlib.axes.Axes.text() Function
The Axes.text() function in axes module of matplotlib library is also used to add the text s to the axes at location x, y in data coordinates.
Syntax:
Axes.text(self, x, y, s, fontdict=None, withdash=, **kwargs)Parameters: This method accept the following parameters that are described below:
- s: This parameter is the text to be add.
- xy: This parameter is the point (x, y) where text is to be placed.
- fontdict: This parameter is an optional parameter and a dictionary to override the default text properties.
- withdash: This parameter is also an optional parameter and creates a TextWithDash instance instead of a Text instance.
Returns: This method returns the text which is a created text instance..
Below examples illustrate the matplotlib.axes.Axes.text() function in matplotlib.axes:
Example-1:
# Implementation of matplotlib function import matplotlib.pyplot as plt fig, ax = plt.subplots() ax.text(3, 4, 'Lazyroar', style ='italic', fontsize = 30, color ="green") ax.set(xlim =(0, 8), ylim =(0, 8)) ax.set_title('matplotlib.axes.Axes.text() Example', fontsize = 14, fontweight ='bold') plt.show() |
Output:
Example-2:
# Implementation of matplotlib function import matplotlib.pyplot as plt fig, ax = plt.subplots() ax.set_xlabel('xlabel') ax.set_ylabel('ylabel') ax.text(3, 8, 'Lazyroar', style ='italic', fontsize = 30, bbox ={'facecolor':'green', 'alpha':0.6, 'pad':20}) ax.text(3.5, 6, 'Python matplotlib Module', fontsize = 15) ax.text(3.5, 3, 'Axes Class - Text Function') ax.text(0, 0, 'by-Shubham Singh', verticalalignment ='bottom', horizontalalignment ='left', transform = ax.transAxes, color ='green', fontsize = 5) ax.set(xlim =(0, 10), ylim =(0, 10)) ax.set_title('matplotlib.axes.Axes.text() Example', fontsize = 14, fontweight ='bold') plt.show() |
Output:
