可视化scipy.stats分布

直方图可制成的scipy.stats正常随机变量看到分布的样子.

% matplotlib inline
import pandas as pd
import scipy.stats as stats
d = stats.norm()
rv = d.rvs(100000)
pd.Series(rv).hist(bins=32, normed=True)

其他发行版是什么样的？

绘制bar和之间的差异hist

由于在一些数据pandas.Series,rv,之间是有差异

1. hist直接调用数据绘图

2. 计算直方图结果(with numpy.histogram)然后用bar

示例数据生成

%matplotlib inline

import numpy as np
import pandas as pd
import scipy.stats as stats
import matplotlib
matplotlib.rcParams['figure.figsize'] = (12.0, 8.0)
matplotlib.style.use('ggplot')

# Setup size and distribution
size = 50000
distribution = stats.norm()

# Create random data
rv = pd.Series(distribution.rvs(size=size))
# Get sane start and end points of distribution
start = distribution.ppf(0.01)
end = distribution.ppf(0.99)

# Build PDF and turn into pandas Series
x = …