python - Forward fill in pandas dataframe based on specific label in a column -

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i need forward feel data within specific label (where label defined in other column:

label | col1 | ffil_col | -------------------------     1 |  n   | female   |     1 |  m   |          |     2 |    |          |     2 |  n   | male     |     2 |  m   |          |

need this:

label | col1 | ffil_col | -------------------------     1 |  n   | female   |     1 |  m   | female   |     2 |    |          |     2 |  n   | male     |     2 |  m   | male     |

the idea have far use groupby label, ffill each group, , concat back. there alternative , more clear solution?

you can use transform on groupby, retains same length original dataframe.

df['ffil_col'] = df.groupby('label').ffil_col.transform(lambda group: group.ffill())  >>> df    label col1 ffil_col 0      1    n   female 1      1    m   female 2      2         nan 3      2    n     male 4      2    m     male

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