pandas 数据框中的随机行选择 [英] Random row selection in Pandas dataframe

问题描述

有没有办法从Pandas的DataFrame中选择随机行.

Is there a way to select random rows from a DataFrame in Pandas.

在R中，使用汽车包装，有一个有用的函数some(x, n)，它与head类似，但在此示例中，它从x中随机选择10行.

In R, using the car package, there is a useful function some(x, n) which is similar to head but selects, in this example, 10 rows at random from x.

我也看过切片文档，似乎没有什么等效的.

I have also looked at the slicing documentation and there seems to be nothing equivalent.

现在使用版本20.有一个示例方法.

Now using version 20. There is a sample method.

df.sample(n)

推荐答案

像这样吗?

import random

def some(x, n):
    return x.ix[random.sample(x.index, n)]

注意:自Pandas v0.20.0起，ix

Note: As of Pandas v0.20.0, ix has been deprecated in favour of loc for label based indexing.

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