python - Pandas: how to increment a column's cell value based on a list of ids -


i have list of ids correspond row of data frame. list of ids, want increment value of column intersects id's row.

what thinking this:

ids = [1,2,3,4]  id in ids:     my_df.loc[my_df['id']] == id]['other_column'] += 1

but doesn't work. how can mutate original df, my_df?

try this:

my_df.loc[my_df['id'].isin(ids), 'other_column'] += 1

demo:

in [233]: ids=[0,2]  in [234]: df = pd.dataframe(np.random.randint(0,3, (5, 3)), columns=list('abc'))  in [235]: df out[235]:     b  c 0  2  2  1 1  1  0  2 2  2  2  0 3  0  2  1 4  0  1  2  in [236]: df.loc[df.a.isin(ids), 'c'] += 100  in [237]: df out[237]:     b    c 0  2  2  101 1  1  0    2 2  2  2  100 3  0  2  101 4  0  1  102

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