import numpy as np
import matplotlib.pyplot as plt

normal_samples = np.random.normal(size = 100000) # 生成 100000 組標準常態分配（平均值為 0，標準差為 1 的常態分配）隨機變數
uniform_samples = np.random.uniform(size = 100000) # 生成 100000 組介於 0 與 1 之間均勻分配隨機變數

plt.hist(normal_samples)
plt.show()
plt.hist(uniform_samples)
plt.show()

import matplotlib.pyplot as plt

speed = [4, 4, 7, 7, 8, 9, 10, 10, 10, 11, 11, 12, 12, 12, 12, 13, 13, 13, 13, 14, 14, 14, 14, 15, 15, 15, 16, 16, 17, 17, 17, 18, 18, 18, 18, 19, 19, 19, 20, 20, 20, 20, 20, 22, 23, 24, 24, 24, 24, 25]
dist = [2, 10, 4, 22, 16, 10, 18, 26, 34, 17, 28, 14, 20, 24, 28, 26, 34, 34, 46, 26, 36, 60, 80, 20, 26, 54, 32, 40, 32, 40, 50, 42, 56, 76, 84, 36, 46, 68, 32, 48, 52, 56, 64, 66, 54, 70, 92, 93, 120, 85]

plt.scatter(speed, dist)
plt.show()

import matplotlib.pyplot as plt

speed = [4, 4, 7, 7, 8, 9, 10, 10, 10, 11, 11, 12, 12, 12, 12, 13, 13, 13, 13, 14, 14, 14, 14, 15, 15, 15, 16, 16, 17, 17, 17, 18, 18, 18, 18, 19, 19, 19, 20, 20, 20, 20, 20, 22, 23, 24, 24, 24, 24, 25]
dist = [2, 10, 4, 22, 16, 10, 18, 26, 34, 17, 28, 14, 20, 24, 28, 26, 34, 34, 46, 26, 36, 60, 80, 20, 26, 54, 32, 40, 32, 40, 50, 42, 56, 76, 84, 36, 46, 68, 32, 48, 52, 56, 64, 66, 54, 70, 92, 93, 120, 85]

plt.plot(speed, dist)
plt.show()

from matplotlib.ticker import FuncFormatter
import matplotlib.pyplot as plt
import numpy as np

x = np.arange(4)
money = [1.5e5, 2.5e6, 5.5e6, 2.0e7]

def millions(x, pos):
    'The two args are the value and tick position'
    return '$%1.1fM' % (x * 1e-6)


formatter = FuncFormatter(millions)

fig, ax = plt.subplots()
ax.yaxis.set_major_formatter(formatter)
plt.bar(x, money)
plt.xticks(x, ('Bill', 'Fred', 'Mary', 'Sue'))
plt.show()

import numpy as np
import matplotlib.pyplot as plt

normal_samples = np.random.normal(size = 100000) # 生成 100000 組標準常態分配（平均值為 0，標準差為 1 的常態分配）隨機變數

plt.boxplot(normal_samples)
plt.show()