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

poi1 = random.poisson(3, size=r)
sns.histplot(data=poi1, x=None).set(title='Histogram of Poi3')
plt.show()

poi2 = random.poisson(5.0, size=r)
sns.histplot(data=poi2, x=None).set(title='Histogram of Poi5')
plt.show()

poi3 = random.poisson(10.0, size=r)
sns.histplot(data=poi3, x=None).set(title='Histogram of Poi10')
plt.show()

poi4 = random.poisson(16, size=r)
sns.histplot(data=poi4, x=None).set(title='Histogram of Poi16')
plt.show()

fig = plt.figure(figsize=(14,7))
# 두 개의 그래프를 한 페이지에 그림
fig, axs = plt.subplots(ncols=2)
fig, ays = plt.subplots(ncols=2)

sns.histplot(data=poi1, x=None, ax=axs[0]).set(title='Histogram of Poisson(mu=3.0 & mu=5.0)')
sns.histplot(data=poi2, x=None, ax=axs[1])
fig.subplots_adjust(wspace=0.5) # 우측그림의 좌우 간격을 조정
#plt.savefig('C:/BOOK/PyBasics/PyStat/code/poison-1.png')

sns.histplot(data=poi3, x=None, ax=ays[0]).set(title='Histogram of Poisson(mu=10.0 & mu=16.0)')
sns.histplot(data=poi4, x=None, ax=ays[1])
fig.subplots_adjust(wspace=0.5) # 우측그림의 좌우 간격을 조정
#plt.savefig('C:/BOOK/PyBasics/PyStat/code/poison-2.png')