Basic implementation of a matplotlib polar plot using a basic observations with multiple variables.

polar_plot.py

from math import pi
from mpl_toolkits.axes_grid.inset_locator import inset_axes
 
# 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]
})


def plot_polar(df, column = "var1", row = 0, figsize = (8, 8), title = False, ax = False):
    # number of variable
    categories = df.columns.tolist()
    N = df.columns.size

    # We are going to plot the first line of the data frame.
    # But we need to repeat the first value to close the circular graph:
    values =  df.loc[row].tolist() + [df.iloc[row, 0].tolist()]

    # 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

    if not ax:
        ax = plt.subplot(111, polar = True)
        
    if title:
        plt.title(title, size = 14, pad = 50)
        
    # Draw one axe per variable + add labels labels yet
    plt.xticks(
        angles[:-1], 
        categories, 
        color = 'grey', 
        size  = 12
    )

    # Draw ylabels
    ax.set_rlabel_position(0)
    plt.yticks(
        [.2,.4,.6,.8], 
        [".2",".4",".6",".8"], 
        # color = "grey", 
        size  = 12,

    )
    plt.ylim(0,1)

    # Plot data
    ax.plot(
        angles, 
        values, 
        linewidth = 1, 
        linestyle = 'solid'
    );

    # Fill area
    ax.fill(angles, values, 'b', alpha=0.1)
    plt.close()
    return ax