Matplotlib.pyplot.clim() in Python Last Updated : 19 Apr, 2020 Summarize Comments Improve Suggest changes Share Like Article Like Report 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. Matplotlib.pyplot.clim() Function The clim() function in pyplot module of matplotlib library is used to set the color limits of the current image. Syntax: matplotlib.pyplot.clim(vmin=None, vmax=None) Parameters: This method accepts only two parameters. vmin, vmax : These parameters are used for color scaling. Below examples illustrate the matplotlib.pyplot.clim() function in matplotlib.pyplot: Example 1: Python3 1== # Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np from matplotlib.colors import LogNorm dx, dy = 0.015, 0.05 y, x = np.mgrid[slice(-4, 4 + dy, dy), slice(-4, 4 + dx, dx)] z = (1 - x / 3. + x ** 5 + y ** 5) * np.exp(-x ** 2 - y ** 2) z = z[:-1, :-1] z_min, z_max = -np.abs(z).max(), np.abs(z).max() im = plt.imshow(z, cmap ='Greens', vmin = z_min, vmax = z_max, extent = [x.min(), x.max(), y.min(), y.max()], interpolation ='nearest', origin ='lower') plt.clim(vmin = 0, vmax = 2) plt.title('matplotlib.pyplot.clim Example') plt.show() Output: Example 2: Python3 1== # Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np from matplotlib.colors import LogNorm dx, dy = 0.015, 0.05 x = 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)) % 2 plt.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) plt.imshow(Z2, cmap ="Greens", alpha = 0.7, interpolation ='bilinear', extent = extent) plt.clim(0, 2) plt.title('matplotlib.pyplot.clim Example') plt.show() Output: Comment More infoAdvertise with us Next Article Matplotlib.pyplot.clf() in Python S SHUBHAMSINGH10 Follow Improve Article Tags : Python Python-matplotlib Practice Tags : python Similar Reads Matplotlib.pyplot.cla() in Python 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, 1 min read Matplotlib.pyplot.clf() in Python 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, 1 min read Matplotlib.pyplot.gci() in Python Matplotlib is a library in Python and it is numerical â 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, 2 min read Matplotlib.pyplot.cool() in Python 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.cool() Function The cool() function in pyplot module of matplotlib library is used to s 2 min read Matplotlib.pyplot.gca() in Python Matplotlib is a library in Python and it is a numerical - mathematical extension for the NumPy library. Pyplot is a state-based interface to a Matplotlib module that provides a MATLAB-like interface.  matplotlib.pyplot.gca() Function The gca() function in pyplot module of matplotlib library is used 2 min read Matplotlib.pyplot.ion() 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. The matplotlib.pyplot.ion() is used to turn on interactive mode. To check the status of 4 min read Like