Matplotlib.pyplot.annotate() in Python

Last Updated : 12 Apr, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface.

matplotlib.pyplot.annotate() Function

The annotate() function in pyplot module of matplotlib library is used to annotate the point xy with text s.

Syntax: angle_spectrum(x, Fs=2, Fc=0, window=mlab.window_hanning, pad_to=None, sides=’default’, **kwargs)

Parameters: This method accept the following parameters that are described below:

s: This parameter is the text of the annotation.

xy: This parameter is the point (x, y) to annotate.

xytext: This parameter is an optional parameter. It is The position (x, y) to place the text at.

xycoords: This parameter is also an optional parameter and contains the string value.

textcoords: This parameter contains the string value.Coordinate system that xytext is given, which may be different than the coordinate system used for xy

arrowprops : This parameter is also an optional parameter and contains dict type.Its default value is None.

annotation_clip : This parameter is also an optional parameter and contains boolean value.Its default value is None which behaves as True.

Returns: This method returns the annotation.

Below examples illustrate the matplotlib.pyplot.annotate() function in matplotlib.pyplot:

Example #1:

   # Implementation of matplotlib.pyplot.annotate() 
# function 
  
import matplotlib.pyplot as plt 
import numpy as np 
  
  
fig, geeeks = plt.subplots() 
  
t = np.arange(0.0, 5.0, 0.001) 
s = np.cos(3 * np.pi * t) 
line = geeeks.plot(t, s, lw = 2) 
  
# Annotation 
geeeks.annotate('Local Max', xy =(3.3, 1), 
                xytext =(3, 1.8),  
                arrowprops = dict(facecolor ='green', 
                                  shrink = 0.05),) 
  
geeeks.set_ylim(-2, 2) 
  
# Plot the Annotation in the graph 
plt.show() 
 
  

Output:

Example #2:

   # Implementation of matplotlib.pyplot.annotate() 
# function 
  
import numpy as np 
import matplotlib.pyplot as plt 
  
x = np.arange(0, 10, 0.005) 
y = np.exp(-x / 3.) * np.sin(3 * np.pi * x) 
  
fig, ax = plt.subplots() 
ax.plot(x, y) 
ax.set_xlim(0, 10) 
ax.set_ylim(-1, 1) 
  
# Setting up the parameters 
xdata, ydata = 5, 0
xdisplay, ydisplay = ax.transData.transform((xdata, ydata)) 
  
bbox = dict(boxstyle ="round", fc ="0.8") 
arrowprops = dict( 
    arrowstyle = "->", 
    connectionstyle = "angle, angleA = 0, angleB = 90,\ 
    rad = 10") 
  
offset = 72
  
# Annotation 
ax.annotate('data = (%.1f, %.1f)'%(xdata, ydata), 
            (xdata, ydata), xytext =(-2 * offset, offset), 
            textcoords ='offset points', 
            bbox = bbox, arrowprops = arrowprops) 
  
  
disp = ax.annotate('display = (%.1f, %.1f)'%(xdisplay, ydisplay), 
            (xdisplay, ydisplay), xytext =(0.5 * offset, -offset), 
            xycoords ='figure pixels', 
            textcoords ='offset points', 
            bbox = bbox, arrowprops = arrowprops) 
  
# To display the annotation 
plt.show() 
 
  

Output:

Matplotlib.pyplot.hot() in Python

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Matplotlib.pyplot.annotate() in Python

matplotlib.pyplot.annotate() Function

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