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fig = plt.figure(figsize=(10,12))

attributes = ['count', 'mean', 'sum', 'categ_0', 'categ_1', 'categ_2', 'categ_3', 'categ_4']
ranges = [[0.01, 10], [0.01, 1500], [0.01, 10000], [0.01, 75], [0.01, 75], [0.01, 75], [0.01, 75], [0.01, 75]]
index  = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]

n_groups = n_clusters ; i_cols = 3
i_rows = n_groups//i_cols
size_x, size_y = (1/i_cols), (1/i_rows)

for ind in range(n_clusters):
    ix = ind%3 ; iy = i_rows - ind//3
    pos_x = ix*(size_x + 0.05) ; pos_y = iy*(size_y + 0.05)            
    location = [pos_x, pos_y]  ; sizes = [size_x, size_y] 
    #______________________________________________________
    data = np.array(merged_df.loc[index[ind], attributes])    
    radar = RadarChart(fig, location, sizes, attributes, ranges)
    radar.plot(data, color = 'b', linewidth=2.0)
    radar.fill(data, alpha = 0.2, color = 'b')
    radar.title(title = 'cluster nº{}'.format(index[ind]), color = 'r')
    ind += 1