quickHow: how to split a column of tuples into a pandas dataframe

splitPandasSeriesOfTuplesIntoPandasDataframe.py

# Given a pandas dataframe containing a pandas series/column of tuples B, 
# we want to extract B into B1 and B2 and assign them into separate pandas series

# Method 1: (faster)
# use pd.Series.tolist() method to return a list of tuples 
# use pd.DataFrame on the resulting list to turn it into a new pd.DataFrame object, while specifying the original df index
# add to the original df 

import pandas as pd
import time 

# Put your dataframe here
df = pd.DataFrame({'A':[1,2], 'B':[(1,2), (3,4)]})  

print("Original Dataset")
print(df)

start = time.time()
df[['B1','B2']] = pd.DataFrame(df['B'].tolist(),index=df.index)
print("Method 1")
print("Time elapsed :" + str(time.time()-start))
print(df)


# Method 2: (more Pythonic but much slower for larger dataframes)
# use the pd.DataFram.apply method to the column with the pd.Series function

start = time.time()
df[['B1','B2']] = df['B'].apply(pd.Series)
print("Method 2")
print("Time elapsed :" + str(time.time()-start))
print(df)

Thank you, this was really helpful.

The best tip I've read in a while. Thanks a ton!

Bravo!

My kernel even died with the second method. Thank you so much, very helpful.