如何将np.random.uniform（）用于实际示例

Question

我尝试了什么

from numpy import random
import matplotlib.pyplot as plt

import seaborn as sns

sns.distplot(random.uniform(0,30, 5), hist=True)

plt.show()

我得到的结果在这里它显示了8％和12％，但是根据人工预测，我要求的答案是16％。我认为我对`random.binomial（）中的size参数感到困惑

Answer 1

据我了解，您希望简化结果。

尝试以下操作

import numpy as np

# sample 100k uniform random values (it can be any large number) from 0 to 30
waiting_time = np.random.uniform(0, 30, size = 100_000) 

# caclulate the proportion that are between 10 and 15
np.mean((waiting_time >=10) & (waiting_time <= 15)) 

情节

import matplotlib.pyplot as plt
import seaborn as sns

sns.distplot(waiting_time)
plt.show();

# OR
import matplotlib.pyplot as plt
plt.hist(waiting_time);