python - Sorting a DataFrame such that NA values on the first sort column would be at the end regardless of the secondary sort columns -


i using dataframe.sort , aiming default behavior of pushing na values end.

the problem add secondary sort columns, na values on first sort column don't behave non-na values. apparently if have na in first column, overridden secondary columns if aren't na.

for example:

in [1]: df = dataframe([[1, 1], [none, 0]])  in [2]: df.sort([0]) out[2]:      0  1 0   1  1 1 nan  0  in [3]: df.sort([0, 1]) out[3]:      0  1 1 nan  0 0   1  1

the last sort demonstrates undesirable behavior: value on first sort column (0) nan, record 1 should @ end. it's not, because apparently second column (1) takes precedence.

is there way sort df such secondary sort column used resolve equality among first sort column, while still keeping nas @ end, regardless of secondary column value?

apparently bug fixed. using pandas 0.13.1. upgrading 0.16.1 produced desired behavior:

in [4]: df.sort([0, 1]) out[4]:      0  1 0   1  1 1 nan  0

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