I want to compare with each columns in python.
for instance :
no. | name | name_convert | contains |
---|---|---|---|
0 | applepie | apple | True |
1 | applepie | strawberry | False |
2 | bananashake | banana | True |
3 | bananashake | banana | True |
I want to create contains
columns. It defines result of comparison of each column (name
with name_convert
). applepie (in name
) contains apple(in name_convert
) string.
How can I create a new column that contains True if the name_convert
is substring of name
?
Here is my attempt:
data['contains'] = data['name'].isin(data['name_convert'])
You can do it with list comprehension
and zip
function:
df['contains']=[i in j for i,j in zip(df['name_convert'],df['name'])]
: df
Out[10]:
no. name name_convert contains
0 0 applepie apple True
1 1 applepie strawberry False
2 2 bananashake banana True
3 3 bananashake banana True