pandas shuffle rows

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Josie
20 Aug 2020
1# Basic syntax:
2df = df.sample(frac=1, random_state=1).reset_index(drop=True)
3# Where:
4#	- frac=1 specifies returning 100% of the original rows of the 
5#		dataframe (in random order). Change to a decimal (e.g. 0.5) if
6#		you want to sample say, 50% of the original rows
7#	- random_state=1 sets the seed for the random number generator and
8#		is useful to specify if you want results to be reproducible
9#	- .reset_index(drop=True) specifies resetting the row index of the
10#		shuffled dataframe
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Anton
21 Nov 2017
1df = df.sample(frac=1).reset_index(drop=True)
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