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Transpose Pipe-separated Csv In Python
I have a pipe separated csv file that I need to transpose before loading elsewhere. How to I change the row to columns on each pipe "|"?
So the three lines I want to transpose are in csv like below:
CountryCode|AFG| ALB| DZA
CountryISO2|AF| AL| DZ
CountryName|Afghanistan| Albania| Algeria
and I am after:
Country Code|CountryISO2|CountryName
AFG |AF |Afghanistan
ALB |AL |Albania
DZA |DZ |Algeria
I've tried using pandas DataFrame and transposing but this takes all the values and loads into a single cell.
df_csv = pd.DataFrame(data=csv)
transposed_csv = df_csv.T
print(transposed_csv)
ends up like this:
0 1
[CountryCode|AFG| ALB|] [CountryISO2|AF| AL|] [CountryName|Afghanistan| Albania]
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Answer
It seems that your problem is that the dataframe is not properly loaded. You have to read csv with sep='|' and then you can transpose it.
df_csv = pd.read_csv(data=file.csv, sep='|')
df_csv.T
0 1
CountryCode CountryISO2 CountryName
AFG AF Afghanistan
ALB AL Albania
DZA DZ Algeria
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source: stackoverflow.com
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