scatter-plot

How to make a 3D scatter plot

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You can use matplotlib for this. matplotlib has a mplot3d module that will do exactly what you want. import matplotlib.pyplot as plt import random fig = plt.figure(figsize=(12, 12)) ax = fig.add_subplot(projection=’3d’) sequence_containing_x_vals = list(range(0, 100)) sequence_containing_y_vals = list(range(0, 100)) sequence_containing_z_vals = list(range(0, 100)) random.shuffle(sequence_containing_x_vals) random.shuffle(sequence_containing_y_vals) random.shuffle(sequence_containing_z_vals) ax.scatter(sequence_containing_x_vals, sequence_containing_y_vals, sequence_containing_z_vals) plt.show() The code above generates a … Read more

plot different color for different categorical levels

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Imports and Sample DataFrame import matplotlib.pyplot as plt import pandas as pd import seaborn as sns # for sample data from matplotlib.lines import Line2D # for legend handle # DataFrame used for all options df = sns.load_dataset(‘diamonds’) carat cut color clarity depth table price x y z 0 0.23 Ideal E SI2 61.5 55.0 326 … Read more

How to color scatter markers as a function of a third variable

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There’s no need to manually set the colors. Instead, specify a grayscale colormap… import numpy as np import matplotlib.pyplot as plt # Generate data… x = np.random.random(10) y = np.random.random(10) # Plot… plt.scatter(x, y, c=y, s=500) # s is a size of marker plt.gray() plt.show() Or, if you’d prefer a wider range of colormaps, you … Read more

Setting different color for each series in scatter plot

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I don’t know what you mean by ‘manually’. You can choose a colourmap and make a colour array easily enough: import numpy as np import matplotlib.pyplot as plt import matplotlib.cm as cm x = np.arange(10) ys = [i+x+(i*x)**2 for i in range(10)] colors = cm.rainbow(np.linspace(0, 1, len(ys))) for y, c in zip(ys, colors): plt.scatter(x, y, … Read more

Changing the background color of the axes planes of a 3D plot

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Using the same example. You can set the pane color using the set_pane_color method as described here http://matplotlib.org/mpl_toolkits/mplot3d/api.html#axis3d. You can set the color using the RGBA tuple: # scatter3d_demo.py # … # Set the background color of the pane YZ ax.w_xaxis.set_pane_color((1.0, 1.0, 1.0, 1.0)) plt.show()

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