CODEWITHSUNDEEP
pythonstringpandasdataframe
GeorgeOfTheRF
GeorgeOfTheRF

Reputation: 8854

How to perform string replace operation using pandas in python?

I have a pandas dataframe where the Items columns is a list.

cust_id   Items
100     ['item1','item2','item3']
101     ['item5','item8','item9']
102     ['item2','item4']

I want to convert the above dataframe to the below format.

cust_id  Items
100     item1 item2 item3
101     item5 item8 item9
102     item2 item4

I tried using the pandas built in string replace function put its returning the original column without actually performing the string replace operation.

df['Items']=(df['Items'].astype(str)).replace({"['":"", "', '":" ", "']":"" },method='string')

Please advise

Update:

I used the below code to create the original dataframe.

df=df1.groupby(['cust_id'])['Items'].apply(list).reset_index()

Upvotes: 2

Views: 173

Answers (1)

Anand S Kumar
Anand S Kumar

Reputation: 90979

If the elements are really list , then you can use str.join() on the list along with series.apply method . Example -

In [159]: df = pd.DataFrame([[100,['item1','item2','item3']],[101,['item5','item8','item9']],[102,['item2','item4']]],columns=['cust_id','Items'])

In [160]: df
Out[160]:
   cust_id                  Items
0      100  [item1, item2, item3]
1      101  [item5, item8, item9]
2      102         [item2, item4]

In [161]: df['Items'] = df['Items'].apply(' '.join)

In [162]: df
Out[162]:
   cust_id                Items
0      100    item1 item2 item3
1      101    item5 item8 item9
2      102          item2 item4

Upvotes: 4

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