import random
import seaborn as sns
import matplotlib.pyplot as plt

# 解決中文不顯示的問(wèn)題
from pylab import mpl
mpl.rcParams['font.sans-serif']=['SimHei']
# 解決正負(fù)號(hào)不顯示問(wèn)題
plt.rcParams['axes.unicode_minus']=False 

random.random()                                  # 返回隨機(jī)生成的一個(gè)實(shí)數(shù)，它在[0,1)范圍內(nèi)。
random.randint(1,10)                             # 產(chǎn)生 1 到 10 的一個(gè)整數(shù)型隨機(jī)數(shù)
random.randrange(1,100,2)                        # 生成從1到100的間隔為2的隨機(jī)整數(shù)
random.uniform(1.1,5.4)                          # 產(chǎn)生  1.1 到 5.4 之間的隨機(jī)浮點(diǎn)數(shù)，區(qū)間可以不是整數(shù)
random.choice('tomorrow')                        # 從序列中隨機(jī)選取一個(gè)元素
random.sample('zyxwvutsrqponmlkjihgfedcba',5)    # 多個(gè)字符中生成指定數(shù)量的隨機(jī)字符

# 打亂排序
items = [1, 2, 3, 4, 5, 6, 7, 8, 9, 0]
random.shuffle(items)
print(items)

n = 10000
x = [random.triangular(1, 10, 2) for i in range(n)]
sns.distplot(x)  # 默認(rèn)

n = 10000
x = [random.expovariate(1) for i in range(n)]
sns.distplot(x)  # 默認(rèn)

n = 10000
x = [random.betavariate(1, 1) for i in range(n)]
sns.distplot(x)  # 默認(rèn)

n = 10000
x = [random.gammavariate(10, 10) for i in range(n)]
sns.distplot(x)  # 默認(rèn)

n = 10000
x = [random.gauss(10, 1) for i in range(n)]
sns.distplot(x)  # 默認(rèn)

n = 10000
x = [random.lognormvariate(-100, 1) for i in range(n)]
sns.distplot(x)  # 默認(rèn)

n = 10000
x = [random.normalvariate(100, 10) for i in range(n)]
sns.distplot(x)  # 默認(rèn)

n = 10000
x = [random.vonmisesvariate(4, 0) for i in range(n)]
sns.distplot(x)  # 默認(rèn)

n = 10000
x = [random.paretovariate(100) for i in range(n)]
sns.distplot(x)  # 默認(rèn)

n = 10000
x = [random.weibullvariate(100,10) for i in range(n)]
sns.distplot(x)  # 默認(rèn)