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import random | |
import pandas as pd | |
def simulate(n): | |
trial_results = [] | |
while True: | |
if len(trial_results) == n: | |
return trial_results | |
else: | |
cards = [] | |
while True: | |
cards.append(random.choice(['H','S','W'])) | |
# if I have at least 4 cards, check whether I have ['H','H','S','W'] | |
if(len(cards)>=4 and | |
"S" in cards and | |
"W" in cards and | |
cards.count("H")>1 ): | |
# record the result (number of cards it took to win) | |
trial_results.append(len(cards)) | |
break | |
trial_results = simulate(10000) | |
df = pd.DataFrame(trial_results, columns=['trial_results']) | |
pd.set_option("display.max_rows", 10) | |
print(df) | |
print("mean from 10000 trials:") | |
print(df['trial_results'].mean()) |
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