Matplotlib.ticker.PercentFormatter class in Python
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.PercentFormatter
The matplotlib.ticker.PercentFormatter
class is used to format numbers as a percentage.
Syntax: class matplotlib.ticker.PercentFormatter(xmax=100, decimals=None, symbol=’%’, is_latex=False)
Parameters:
- xmax: It is a float value that determines how the number is converted into a percentage.
- decimals: It is either an integer value or None. It determines the number of decimal places to place after the point. If None (the default), the number will be computed automatically.
- symbol : It is either a string or none that gets appended to the label.
- is_latex: It is a boolean value. If False, reserved LaTeX characters in symbol are eliminated.
Example 1:
import pandas as pd import numpy as np import matplotlib.ticker as mtick from matplotlib.ticker import PercentFormatter df = pd.DataFrame(np.random.randn( 100 , 5 )) ax = df.plot() ax.yaxis.set_major_formatter(mtick.PercentFormatter( 5.0 )) |
Output:
Example 2:
import matplotlib.pyplot as plt import numpy as np import matplotlib.ticker as mtick from matplotlib.ticker import PercentFormatter data = [ 8 , 12 , 15 , 17 , 18 , 18.5 ] perc = np.linspace( 0 , 100 , len (data)) fig = plt.figure( 1 , ( 7 , 4 )) ax = fig.add_subplot( 1 , 1 , 1 ) ax.plot(perc, data) xticks = mtick.PercentFormatter( 0.5 ) ax.xaxis.set_major_formatter(xticks) plt.show() |
Output:
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