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.
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!!
Like a lot of Python gallery examples, the code above is NOT a minimum working example. If running this in a python script you need to:
1) Indent everything between “def make_spider” and “PART 2”
2) Add code which will actually _show_ the plot and keep it alive, such as:
plt.show(block=False)
input(“Press any key to close all plots”)
close – indent everything between `# number of variable` and `# ——- PART 2: Apply to all individuals`. Indent the very last line of code. This definitely works in a Jupyter Notebook.