import numpy as np
#import scipy.stats as stats
import seaborn as sns # seaborn package를 이용
import matplotlib.pyplot as plt # matplotlib.pyplot package를 이용
from numpy import random

# set the random seed:
np.random.seed(12345)

r=10000
binom1 = random.binomial(n=10, p=0.1, size=r)
sns.histplot(data=binom1, x=None).set(title='Histogram of Binom1')
plt.show()

binom2 = random.binomial(n=10, p=0.5, size=r)
sns.histplot(data=binom2, x=None).set(title='Histogram of Binom2')
plt.show()

binom3 = random.binomial(n=20, p=0.5, size=r)
sns.histplot(data=binom3, x=None).set(title='Histogram of Binom3')
plt.show()

#fig = plt.figure(figsize=(10,7))
#figure, axs = plt.subplots(1,3) # 세 개의 그래프를 한 페이지에 그림
fig, axs = plt.subplots(ncols=3)

sns.histplot(data=binom1, x=None, ax=axs[0]).set(title='Hist. B(n=10, p=0.1)')
sns.histplot(data=binom2, x=None, ax=axs[1]).set(title='Hist. B(n=10, p=0.5)')
sns.histplot(data=binom3, x=None, ax=axs[2]).set(title='Hist. B(n=20, p=0.5)')

fig.subplots_adjust(wspace=0.7) # 우측그림의 좌우 간격을 조정
#plt.savefig('C:/BOOK/PyBasics/PyStat/code/binom.png')