Sports Team Statistics

import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import numpy as np
from matplotlib.colors import LinearSegmentedColormap

np.random.seed(666)

stats = ['Points', 'Assists', 'Rebounds', 'Steals', 'Blocks',
         'FG%', '3PT%', 'FT%', 'Minutes', 'Turnovers']
players = ['LeBron', 'Curry', 'Durant', 'Giannis', 'Jokic', 'Embiid',
           'Tatum', 'Doncic', 'Morant', 'Edwards', 'Booker', 'Mitchell']

data = np.random.rand(10, 12) * 15 + 10
data[0, :4] += 15
data[1, [1, 7]] += 10
data[2, 3:6] += 8
data[4, 3:6] += 6

df = pd.DataFrame(data, index=stats, columns=players)

styles = ['All-around']*2 + ['Scorer']*2 + ['Big']*2 + ['Two-way']*3 + ['Athletic']*3
style_palette = {'All-around': '#6366f1', 'Scorer': '#ef4444', 'Big': '#f59e0b', 
                 'Two-way': '#22c55e', 'Athletic': '#ec4899'}
col_colors = pd.Series(styles, index=players).map(style_palette)

light_cmap = LinearSegmentedColormap.from_list('sports', ['#f8fafc', '#bfdbfe', '#6366f1', '#312e81'])

g = sns.clustermap(df, cmap=light_cmap, col_colors=col_colors,
                   method='average', metric='euclidean', standard_scale=0,
                   linewidths=0.5, linecolor='#e5e7eb',
                   figsize=(10, 8), dendrogram_ratio=(0.12, 0.12),
                   cbar_pos=(0.01, 0.08, 0.008, 0.12))

g.fig.patch.set_facecolor('#ffffff')
g.ax_heatmap.set_facecolor('#ffffff')
g.ax_heatmap.tick_params(colors='#1f2937', labelsize=8)
g.ax_row_dendrogram.set_facecolor('#ffffff')
g.ax_col_dendrogram.set_facecolor('#ffffff')
g.cax.tick_params(colors='#1f2937', labelsize=7)

g.fig.suptitle('NBA Player Statistics', color='#1f2937', fontsize=13, fontweight='bold', y=1.02)
plt.show()