# -*- coding: utf-8 -*-
# numpytest2.py 

import numpy as np
import statistics

print(np.random.choice(5))
print(np.random.choice(5, size=2))
x=['r','g','b','c','m','y','k']
print(np.random.choice(x, size=7, replace=False))

#==================================================
x = np.random.randint(1,11, size=1000).astype(float) 
# 위의 float가 없으면 정수로 계산하게 되어 아래 값이 정수부분만 얻어짐에 유의
print('mean:', statistics.mean(x))
print('variance:', statistics.variance(x))

#==========================================================
y = np.random.random(size=1000)
print('mean:', statistics.mean(y))
print('variance:', statistics.variance(y))

#==========================================================
x = np.random.randn(2,10)
print(x)
y = np.random.normal(size=1000)
print('mean:', statistics.mean(y))
print('variance:', statistics.variance(y))