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

unif1 = random.uniform(1,2,size=r)
unif2 = random.uniform(2,4,size=r)
unif3 = random.uniform(4,8,size=r)
unif4 = random.uniform(5,10,size=r)

np.mean(unif1)
np.mean(unif2)
np.mean(unif3)
np.mean(unif4)
print("Mean of Uniform Distribution between min=1 & max=2 is : ", np.mean(unif1))
print("Mean of Uniform Distribution between min=2 & max=4 is : ", np.mean(unif2))
print("Mean of Uniform Distribution between min=4 & max=8 is : ", np.mean(unif3))
print("Mean of Uniform Distribution between min=5 & max=10 is : ", np.mean(unif4))

np.var(unif1, ddof=1)
np.var(unif2, ddof=1)
np.var(unif3, ddof=1)
np.var(unif4, ddof=1)
print("Variance of Uniform Distribution between min=1 & max=2 is : ", np.var(unif1, ddof=1))
print("Variance of Uniform Distribution between min=2 & max=4 is : ", np.var(unif2, ddof=1))
print("Variance of Uniform Distribution between min=4 & max=8 is : ", np.var(unif3, ddof=1))
print("Variance of Uniform Distribution between min=5 & max=10 is : ", np.var(unif4, ddof=1))

sns.histplot(data=unif1, x=None).set(title='Histogram of Uniform(min=1, max=2)')
plt.show()

sns.histplot(data=unif2, x=None).set(title='Histogram of Uniform(min=2, max=4)')
plt.show()

sns.histplot(data=unif3, x=None).set(title='Histogram of Uniform(min=4, max=8)')
plt.show()

sns.histplot(data=unif4, x=None).set(title='Histogram of Uniform(min=5, max=10)')
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=unif1, x=None, ax=axs[0]).set(title='Histogram of Uniform')
sns.histplot(data=unif2, x=None, ax=axs[1])
fig.subplots_adjust(wspace=0.5) # 우측그림의 좌우 간격을 조정
#plt.savefig('C:/BOOK/PyBasics/PyStat/code/unif-1.png')

sns.histplot(data=unif3, x=None, ax=ays[0]).set(title='Histogram of Uniform')
sns.histplot(data=unif4, x=None, ax=ays[1])
fig.subplots_adjust(wspace=0.5) # 우측그림의 좌우 간격을 조정
#plt.savefig('C:/BOOK/PyBasics/PyStat/code/unif-2.png')