Example math behind creating a radar plot using continuous data split in several categories.

plot_radar_chart.py

import numpy as np
import matplotlib.pyplot as plt


def xy(a, b, c, d, n):
    v = [a, b, c, d]
    r = (np.average(v)-np.min(v))/(np.max(v)-np.min(v))
    x = r*np.cos((np.pi/3)*n)
    y = r*np.sin((np.pi/3)*n)
    return x, y


inputs = [[2056301.8, 8177980, 2710877.4, 1201452.32],
          [1450601.21, 3114586.72, 1034670, 801342.4],
          [14, 34, 12, 2], [0.09, 0.34, 0.16, 0.22],
          [451.26, 1451, 240.8, 65.51],
          [5, 9, 4, 6]]

x = []
y = []

for n, items in enumerate(inputs):
    x_, y_ = xy(items[0], items[1], items[2], items[3], n)

    x.append(x_)
    y.append(y_)


plt.figure(figsize=(8, 8))
plt.scatter(x, y, color='k')
plt.show()