How to use Sample in pandas

This article will explain in detail how to use Sample in pandas. The editor thinks it is very practical, so I share it with you as a reference. I hope you can get something after reading this article.

Sample

Sample is used to randomly select several rows or columns from the DataFrame.

Usage:

DataFrame.sample (n=None, frac=None, replace=False, weights=None, random_state=None, axis=None)

Parameter function:

(1) n: the number of rows to be extracted

(2) frac: the proportion of rows extracted

Frac=0.8, for example, extracts 80% of them.

(3) replace: whether it is sampled back.

True: there is a return sampling

False: unreturned sampling

(4) weights: character index or probability array

(5) random_state: random number generator seed

(6) axis: select the row or column from which to extract data

Axis=0: extract rows

Axis=1: extract column

For example, five rows are randomly selected from the df:

Sample1 = df.sample (nasty 5) sample1

Take 60% of the rows randomly from df, and set random number seeds to get the same sample each time:

Sample2 = df.sample (frac=0.6,random_state=2) sample2

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