Matplotlib.pyplot.show() in Python
Last Updated :
11 Apr, 2020
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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.
Sample Code –
# sample code import matplotlib.pyplot as plt plt.plot([1, 2, 3, 4], [16, 4, 1, 8]) plt.show() |
Output:
matplotlib.pyplot.show() Function
The show() function in pyplot module of matplotlib library is used to display all figures.
Syntax:
matplotlib.pyplot.show(*args, **kw)Parameters: This method accepts only one parameter which is discussed below:
- block : This parameter is used to override the blocking behavior described above.
Returns: This method does not return any value.
Below examples illustrate the matplotlib.pyplot.show() function in matplotlib.pyplot:
Example #1:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np fig = plt.figure() x = np.arange(20) / 50y = (x + 0.1)*2 val1 = [True, False] * 10val2 = [False, True] * 10 plt.errorbar(x, y, xerr = 0.1, xlolims = True, label ='Line 1') y = (x + 0.3)*3 plt.errorbar(x + 0.6, y, xerr = 0.1, xuplims = val1, xlolims = val2, label ='Line 2') y = (x + 0.6)*4plt.errorbar(x + 1.2, y, xerr = 0.1, xuplims = True, label ='Line 3') plt.legend() fig.suptitle('matplotlib.pyplot.show() Example') plt.show() |
Output:
Example #2:
# Implementation of matplotlib function import numpy as np import matplotlib.pyplot as plt x = np.linspace(0, 10, 500) y = np.sin(x**2)+np.cos(x) fig, ax = plt.subplots() ax.plot(x, y, label ='Line 1') ax.plot(x, y - 0.6, label ='Line 2') ax.legend() fig.suptitle('matplotlib.pyplot.show() Example') plt.show() |
Output:
