Created
October 13, 2017 07:12
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use_apply_in_pandas
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In [43]: df['Value'] = df.apply(lambda row: my_test(row['a'], row['c']), axis=1) | |
In [44]: df | |
Out[44]: | |
a b c Value | |
0 -1.674308 foo 0.343801 0.044698 | |
1 -2.163236 bar -2.046438 -0.116798 | |
2 -0.199115 foo -0.458050 -0.199115 | |
3 0.918646 bar -0.007185 -0.001006 | |
4 1.336830 foo 0.534292 0.268245 | |
5 0.976844 bar -0.773630 -0.570417 | |
In [53]: def my_test2(row): | |
....: return row['a'] % row['c'] | |
....: | |
In [54]: df['Value'] = df.apply(my_test2, axis=1) |
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