I have pandas DataFrame which I iterate over to get values from two columns (col_1 and col_2). Second column contains lists. What I need to do, is for every value in col_1 get list of values in col_2 and insert value of col_1 into list of col_2 values.

Hi, I have recently been practicing data processing with Python pandas, and I have encountered an issue related to the groupby function,here is my file and code:

I have been given a problem to solve for my assignment. Here’s the description for my problem:

I have an df which has 3 columns: Region, Country and AREA_CODE.

I have an df which has 3 columns: Region, Country and AREA_CODE.

Given the following dataframe:

This question already has answers here: How do I create a new column where the values are selected based on an existing column? (15 answers) Closed 3 days ago. I’m trying to impute the OPEN_CLS_STS based on the values in DT_CLS. IF DT_CLS has a date populated then OPEN_CLS_STS should have a value ‘C’. Otherwise […]

This question already has answers here: How do I create a new column where the values are selected based on an existing column? (15 answers) Closed 3 days ago. I’m trying to impute the OPEN_CLS_STS based on the values in DT_CLS. IF DT_CLS has a date populated then OPEN_CLS_STS should have a value ‘C’. Otherwise […]

There are many answers out there to this question, but I couldn’t find one that applies to my case.

There are many answers out there to this question, but I couldn’t find one that applies to my case.