So first of all, pandas updates using the index. When an update command does not update anything, check both left-hand side and right-hand side. If you don’t update the indices to follow your identification logic, you can do something along the lines of
>>> df.loc[df.filename == 'test2.dat', 'n'] = df2[df2.filename == 'test2.dat'].loc[0]['n']
>>> df
Out[331]:
filename m n
0 test0.dat 12 None
1 test2.dat 13 16
If you want to do this for the whole table, I suggest a method I believe is superior to the previously mentioned ones: since your identifier is filename
, set filename
as your index, and then use update()
as you wanted to. Both merge
and the apply()
approach contain unnecessary overhead:
>>> df.set_index('filename', inplace=True)
>>> df2.set_index('filename', inplace=True)
>>> df.update(df2)
>>> df
Out[292]:
m n
filename
test0.dat 12 None
test2.dat 13 16