Matplotlib.pyplot.close() in Python - GeeksforGeeks

19 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. There are various plots which can be used in Pyplot are Line Plot, Contour, Histogram, Scatter, 3D Plot, etc.
The close() function in pyplot module of matplotlib library is used to close a figure window.
Syntax: matplotlib.pyplot.close(fig=None)
Parameters: This method accept only one parameters.fig : This parameter accepts the following values:
None: This value will close the current figureFigure: This value will close the given Figure instanceint: This value will close a figure numberstr: This value will close a figure name‘all’:This value will close all figures
None: This value will close the current figure
Figure: This value will close the given Figure instance
int: This value will close a figure number
str: This value will close a figure name
‘all’:This value will close all figures
Returns: This method does not returns any values.
Below examples illustrate the matplotlib.pyplot.close() function in matplotlib.pyplot:
Example 1:
# Implementation of matplotlib functionimport matplotlib.pyplot as pltimport numpy as npfrom matplotlib.colors import LogNorm    dx, dy = 0.015, 0.05x = np.arange(-4.0, 4.0, dx)y = np.arange(-4.0, 4.0, dy)X, Y = np.meshgrid(x, y)   extent = np.min(x), np.max(x), np.min(y), np.max(y)   Z1 = np.add.outer(range(8), range(8)) % 2plt.imshow(Z1, cmap ="binary_r",            interpolation ='nearest',           extent = extent,            alpha = 1)   def geeks(x, y):    return (1 - x / 2 + x**5 + y**6) * np.exp(-(x**2 + y**2))   Z2 = geeks(X, Y)   x = plt.imshow(Z2, cmap ="Greens",                alpha = 0.7,                interpolation ='bilinear',               extent = extent)plt.close()plt.title('matplotlib.pyplot.close Example')plt.show()
Output:
Example 2:
# Implementation of matplotlib functionimport matplotlib.pyplot as pltimport numpy as npfrom matplotlib.colors import LogNormimport matplotlib.tri as tri      dx, dy = 0.015, 0.05x = np.arange(-4.0, 4.0, dx)y = np.arange(-4.0, 4.0, dy)X, Y = np.meshgrid(x, y)   extent = np.min(x), np.max(x), np.min(y), np.max(y)   Z1 = np.add.outer(range(8), range(8)) % 2plt.imshow(Z1, cmap ="binary_r",            interpolation ='nearest',           extent = extent,           alpha = 1)   def geeks(x, y):    return (1 - x / 2 + x**5 + y**6) * np.exp(-(x**2 + y**2))   Z2 = geeks(X, Y)   x = plt.imshow(Z2, cmap ="Greens",               alpha = 0.7,                interpolation ='bilinear',               extent = extent)plt.close(1)ang = 40rad = 10radm = 0.35radii = np.linspace(radm, 0.95, rad)     angles = np.linspace(0, 0.5 * np.pi, ang)angles = np.repeat(angles[...,                          np.newaxis],                    rad, axis = 1)  angles[:, 1::2] += np.pi / ang     x = (radii * np.cos(angles)).flatten()y = (radii * np.sin(angles)).flatten()z = (np.sin(4 * radii) * np.cos(4 * angles)).flatten()     triang = tri.Triangulation(x, y)triang.set_mask(np.hypot(x[triang.triangles].mean(axis = 1),                         y[triang.triangles].mean(axis = 1))                < radm)     tpc = plt.tripcolor(triang, z,                    shading ='flat')  plt.colorbar(tpc)plt.plasma()  plt.title('matplotlib.pyplot.close() Example')plt.show()
Output:
Python-matplotlib
Python
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