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Row-wise concatenation in pandas

Time:12-09

How can I concat strings in a pandas Dataframe row-wise and create a new row out of it?

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Here for example, I want to create a new row by concatenating the values in all cells of index 3 and 4.

So the desired row would look like this:

pd.Series([Brand Model, RIVIAN RIT, LUCID Air Drean Edition])

CodePudding user response:

If I understand you right you can use list-comprehension with str.join for the task:

out = [" ".join(df[c]) for c in df]
print(out)

Prints:

['Brand Model', 'RIVIAN R1T', 'LUCID Air Dream Edition']

DataFrame used:

        Col1    Col2               Col3
Index                                  
3      Brand  RIVIAN              LUCID
4      Model     R1T  Air Dream Edition

EDIT: To append the row:

df.loc[df.index.max()   1] = [" ".join(df[c]) for c in df]
print(df)

Prints:

              Col1        Col2                     Col3
Index                                                  
3            Brand      RIVIAN                    LUCID
4            Model         R1T        Air Dream Edition
5      Brand Model  RIVIAN R1T  LUCID Air Dream Edition
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