The charts #390 and #391 show how to make a radar chart with one or few individuals. However, it is not advised to display to many entities on the same spider plot: it would result in an **unreadable plot**. Instead, prefer **faceting**. When you display each individual in a separate plot, the figure stays clear and the reader can compare the shape of each plot.

# #392 Use faceting for Radar chart

Here is the code allowing to make this figure. Do not hesitate to read this page to understand how faceting works with Matplotlib.

# 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: Define a function that do a plot for one line of the dataset! def make_spider( row, title, color): # 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(2,2,row+1, 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, color='grey', size=8) # Draw ylabels ax.set_rlabel_position(0) plt.yticks([10,20,30], ["10","20","30"], color="grey", size=7) plt.ylim(0,40) # Ind1 values=df.loc[row].drop('group').values.flatten().tolist() values += values[:1] ax.plot(angles, values, color=color, linewidth=2, linestyle='solid') ax.fill(angles, values, color=color, alpha=0.4) # Add a title plt.title(title, size=11, color=color, y=1.1) # ------- PART 2: Apply to all individuals # initialize the figure my_dpi=96 plt.figure(figsize=(1000/my_dpi, 1000/my_dpi), dpi=my_dpi) # Create a color palette: my_palette = plt.cm.get_cmap("Set2", len(df.index)) # Loop to plot for row in range(0, len(df.index)): make_spider( row=row, title='group '+df['group'][row], color=my_palette(row))

Thanks for the great resource! When I try to rename the variables in the dataframe, it ends up replacing one (the first one in alpha, I think) with ‘group’? How can I force the indexing correctly? Thanks again!

First off, great post! thank you for sharing.

But I must be missing something…the ‘make_spider’ function isn’t actually defined is it??

Any help with this would be awesome!!