Pandas update multiple columns at once

Question

I\'m trying to update a couple fields at once - I have two data sources and I\'m trying to reconcile them. I know I could do some ugly merging and then delete columns, but was

Answer 1

you want to replace

print df.loc[df['Col1'].isnull(),['Col1','Col2', 'Col3']]

  Col1 Col2 Col3
2  NaN  NaN  NaN
3  NaN  NaN  NaN

With:

replace_with_this = df.loc[df['Col1'].isnull(),['col1_v2','col2_v2', 'col3_v2']]
print replace_with_this

  col1_v2 col2_v2 col3_v2
2       a       b       d
3       d       e       f

Seems reasonable. However, when you do the assignment, you need to account for index alignment, which includes columns.

So, this should work:

df.loc[df['Col1'].isnull(),['Col1','Col2', 'Col3']] = replace_with_this.values

print df

  Col1 Col2 Col3 col1_v2 col2_v2 col3_v2
0    A    B    C     NaN     NaN     NaN
1    D    E    F     NaN     NaN     NaN
2    a    b    d       a       b       d
3    d    e    f       d       e       f

I accounted for columns by using .values at the end. This stripped the column information from the replace_with_this dataframe and just used the values in the appropriate positions.