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Matplotlib.ticker.FuncFormatter class in Python

  • Last Updated : 07 Oct, 2021

Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack.
 

matplotlib.ticker.FuncFormatter

The matplotlib.ticker.FuncFormatter class uses a user defined function for formatting. This user defined function must take two values as inputs for a tick value x and a position pos
 

Syntax: class matplotlib.ticker.FuncFormatter(func)
Parameter: 
 

  • func: The user defined function for formatting of the plot. 
     

Example 1: 
 

Python3




import matplotlib.pyplot as plt
import matplotlib.ticker as tick
import numpy as np
 
 
x = np.linspace(0, 10, 1000)
y = 0.000001 * np.sin(10 * x)
 
fig = plt.figure()
ax = fig.add_subplot(111)
 
ax.plot(x, y)
 
def y_fmt(x, y):
    return '{:2.2e}'.format(x).replace('e', 'x10^')
 
ax.yaxis.set_major_formatter(tick.FuncFormatter(y_fmt))
 
plt.show()

Output: 
 

Example 2: 
 

Python3




import matplotlib.pyplot as plt
from matplotlib.ticker import FuncFormatter
 
 
fig, ax = plt.subplots()
ax.axis([0.01, 10000, 1, 1000000])
ax.loglog()
 
for axis in [ax.xaxis, ax.yaxis]:
    formatter = FuncFormatter(lambda y, _: '{:.16g}'.format(y))
    axis.set_major_formatter(formatter)
 
plt.show()

Output: 
 

 


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