What code do I use to add a gradient background to a radar chart using matplotlib?
Here is a radar chart example where I would like a gradient background.
Here is a radar chart example where I would like a gradient background.
# Libraries import matplotlib.pyplot as plt import pandas as pd from math import pi # Set data df = pd.DataFrame({ 'group': ['A','B','C','D'], 'var1': [38, 1.5, 30, 4], 'var2': [29, 10, 9, 34], 'var3': [8, 39, 23, 24], 'var4': [7, 31, 33, 14], 'var5': [28, 15, 32, 14] }) # ------- PART 1: Create background # number of variable categories=list(df)[1:] N = len(categories) # What will be the angle of each axis in the plot? (we divide the plot / number of variable) angles = [n / float(N) * 2 * pi for n in range(N)] angles += angles[:1] # Initialise the spider plot ax = plt.subplot(111, polar=True) # If you want the first axis to be on top: ax.set_theta_offset(pi / 2) ax.set_theta_direction(-1) # Draw one axe per variable + add labels labels yet plt.xticks(angles[:-1], categories) # Draw ylabels ax.set_rlabel_position(0) plt.yticks([10,20,30], ["10","20","30"], color="grey", size=7) plt.ylim(0,40) # ------- PART 2: Add plots # Plot each individual = each line of the data # I don't do a loop, because plotting more than 3 groups makes the chart unreadable # Ind1 values=df.loc[0].drop('group').values.flatten().tolist() values += values[:1] ax.plot(angles, values, linewidth=1, linestyle='solid', label="group A") ax.fill(angles, values, 'b', alpha=0.1) # Ind2 values=df.loc[1].drop('group').values.flatten().tolist() values += values[:1] ax.plot(angles, values, linewidth=1, linestyle='solid', label="group B") ax.fill(angles, values, 'r', alpha=0.1) # Add legend plt.legend(loc='upper right', bbox_to_anchor=(0.1, 0.1))