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Matplotlib’s main APIs: pyplot and object-oriented¶ Matplotlib is a library that can be thought of as having two main ways of being used: via pyplot calls, as a high-level, matlab-like library that automatically manages details like figure creation.
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# subplot.py import matplotlib.pyplot as plt import numpy as np data = np.arange(100, 201) plt.subplot(2, 1, 1) plt.plot(data) data2 = np.arange(200, 301) plt.subplot(2, 1, 2) plt.plot(data2) plt.show() In the above code, the first two parameters of the subplot function specify the number of subplots. Thus the current graph will be divided in ... Plotting a 3D Scatter Plot in Matplotlib. If you don't want to visualize this in two separate subplots, you can plot the correlation between these variables in 3D. Matplotlib has built-in 3D plotting functionality, so doing this is a breeze. First, we'll need to import the Axes3D class from mpl_toolkits.mplot3d.
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padding between the figure edge and the edges of subplots, as a fraction of the font-size. h_pad, w_pad : float padding (height/width) between edges of adjacent subplots. Matplotlib’s main APIs: pyplot and object-oriented¶ Matplotlib is a library that can be thought of as having two main ways of being used: via pyplot calls, as a high-level, matlab-like library that automatically manages details like figure creation.
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% matplotlib inline import matplotlib.pyplot as plt # Matplotlib 2.0 shown here from adjustText import adjust_text import numpy as np import pandas as pd With multiple subplots, run adjust_text for one subplot at a time ¶
Nov 12, 2014 · Adjust subplot parameters to give specified padding. Parameters: pad : float padding between the figure edge and the edges of subplots, as a fraction of the font-size. h_pad, w_pad : float padding (height/width) between edges of adjacent subplots. Defaults to pad_inches. rect : if rect is given, it is interpreted as a rectangle