Pandas shuffle rows

df = df.sample(frac=1).reset_index(drop=True)

Python randomly shuffle rows of pandas dataframe

# Basic syntax:
df = df.sample(frac=1, random_state=1).reset_index(drop=True)
# Where:
#	- frac=1 specifies returning 100% of the original rows of the 
#		dataframe (in random order). Change to a decimal (e.g. 0.5) if
#		you want to sample say, 50% of the original rows
#	- random_state=1 sets the seed for the random number generator and
#		is useful to specify if you want results to be reproducible
#	- .reset_index(drop=True) specifies resetting the row index of the
#		shuffled dataframe

Source: stackoverflow.com

Similar codes

0 vote278 views1 answer
Python close database connection
Python
0 vote279 views1 answer
Format when turning float into string
Python
0 vote290 views1 answer
Python hide print output
Python
1 vote261 views1 answer
Find min and max from dataframe column
Python
1 vote291 views1 answer
Read a function of excel in python
Python
0 vote285 views1 answer
Pls help i need tkintwr help plspslspslspsl help tkinter
Python
0 vote277 views2 answers
Django APIView Pagination
Python
0 vote295 views1 answer
Pandas index dataframe with integers
Python
0 vote275 views1 answer
How to get the top 100 frequent words on a python dataframe colummn
Python
0 vote283 views1 answer
Como inserir um elemento num set em python
Python