CODEWITHSUNDEEP
python-3.xpandasdataframedatasetmultiple-columns
Faust_ARP32
Faust_ARP32

Reputation: 25

Need helping moving data from one column to another

New to python and pandas and trying to figure this out.

I'm dealing with a data set that's pretty messy. There are 500 rows and 9 columns. In a few instances, data that should be in coulmn 9 has been indexed into column 8, along with column 8 data.

    ... Col 8          Col 9
 0     2 weeks         No. 13
 1     1 week          No. 2
 2  12 weeks, No 1
 3    15 weeks         No. 8
 4  7 weeks, No. 1

How can I separate the data and move to the proper column?

I applied a split(), but don't know how to move it over. I'm thinking I need to use the apply(), but not sure on how.

Any suggestions?

Upvotes: 2

Views: 36

Answers (1)

tdy
tdy

Reputation: 41487

You can split() with expand=True, then fillna() to fill the missing values:

df[['Col 8', 'Col 9']] = df['Col 8'].str.split(',', expand=True).fillna({1: df['Col 9']})

#       Col 8   Col 9
# 0   2 weeks  No. 13
# 1    1 week   No. 2
# 2  12 weeks    No 1
# 3  15 weeks   No. 8
# 4   7 weeks   No. 1

Upvotes: 1

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