Following a related example which does not quite get the right answer (but is close): Python Pandas Assign a Dictionary Value to a Dataframe Column Based on Dictionary Key
I am looking for a way to do, ideally in a one-liner, map a dictionary key to my dataframe column. If the keys match, we should unpack each value into its respective column.
import pandas as pd
d1 = {1231: 'val1, val2, val3',
1232: 'val1a, val2a, val3a'}
df = pd.DataFrame({'key': [1231, 1232]})
df[['val1', 'val2', 'val3']] = df['key'].apply(lambda x: d1.get(x))[0].split(', ')
df
# this will map the same values repeatedly
# and will break if the index is altered or removed
CodePudding user response:
Try with map
then str.split
df[['val1', 'val2', 'val3']] = df['key'].map(d1).str.split(', ',expand=True).values
df
key val1 val2 val3
0 1231 val1 val2 val3
1 1232 val1a val2a val3a