在python中绘制 pandas 系列的CDF

问题描述

有没有办法做到这一点?我似乎无法通过简单的方法将大熊猫系列与绘制CDF进行接口.

Is there a way to do this? I cannot seem an easy way to interface pandas series with plotting a CDF.

推荐答案

我相信您正在寻找的功能是在Series对象的hist方法中，该方法将hist()函数包装在matplotlib中

I believe the functionality you're looking for is in the hist method of a Series object which wraps the hist() function in matplotlib

这是相关文档

In [10]: import matplotlib.pyplot as plt

In [11]: plt.hist?
...
Plot a histogram.

Compute and draw the histogram of *x*. The return value is a
tuple (*n*, *bins*, *patches*) or ([*n0*, *n1*, ...], *bins*,
[*patches0*, *patches1*,...]) if the input contains multiple
data.
...
cumulative : boolean, optional, default : True
    If `True`, then a histogram is computed where each bin gives the
    counts in that bin plus all bins for smaller values. The last bin
    gives the total number of datapoints.  If `normed` is also `True`
    then the histogram is normalized such that the last bin equals 1.
    If `cumulative` evaluates to less than 0 (e.g., -1), the direction
    of accumulation is reversed.  In this case, if `normed` is also
    `True`, then the histogram is normalized such that the first bin
    equals 1.

...

例如

In [12]: import pandas as pd

In [13]: import numpy as np

In [14]: ser = pd.Series(np.random.normal(size=1000))

In [15]: ser.hist(cumulative=True, density=1, bins=100)
Out[15]: <matplotlib.axes.AxesSubplot at 0x11469a590>

In [16]: plt.show()

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