Pandas create columns with counts from column with array of strings-CodePudding

would like to create columns that correspond to counts of strings that appear in a column that is an array of strings.

for example

idx | strings 
1   | ['a','b','c']
2   | ['b','d','e']

idx | 'a' | 'b' | 'c' | 'd' | 'e'
1   |  1  |  1  |  1  |  0  |  0
2   |  0  |  1  |  0  |  1  |  1

CodePudding user response：

You can try with explode then get_dummies

out = df.join(df.pop('strings').explode().str.get_dummies().groupby(level=0).sum())

CodePudding user response：

You can use Counter

from collections import Counter
pd.DataFrame(df.strings.apply(Counter).to_list(), index=df.index)
#      a  b    c    d    e
# 1  1.0  1  1.0  NaN  NaN
# 2  NaN  1  NaN  1.0  1.0