ビッグデータからのランダムサンプリングと配列---groupbyとapplyの応用

import numpy as np
from pandas import DataFrame,Series

#  hearts     spades     clubs     diamonds
#     
suits = ['h','s','c','d']
#   [10]*3  3 10， 4 
card_val = (list(range(1,11)) + [10] * 3 ) * 4
#    
base_names = ['A'] + list(range(2,11)) + ['J','Q','K']
cards = []
#  （    ）
for suit in suits:
    cards.extend(str(num) + suit for num in base_names)
deck = Series(card_val,index=cards)
# 52       n 
def draw(deck,n):
    #    N     K 
    return deck.take(np.random.permutation(len(deck))[:n])

get_suit = lambda card:card[-1]#     ，            
#             
print(deck.groupby(get_suit).apply(draw,n=2))