I have two dataframes df1 and df2 of the same size and dimensions. Is there a simple way to copy all the NaN values in 'df1' to 'df2' ? The example below demonstrates the output I want from .copynans()
In: df1
Out:
10053802 10053856 10053898 10058054
2012-07-01 00:00:00 100.0 0.353 0.300 0.326
2012-07-01 00:30:00 101.0 0.522 0.258 0.304
2012-07-01 01:00:00 102.0 0.311 0.369 0.228
2012-07-01 01:30:00 103.0 NaN 0.478 0.247
2012-07-01 02:00:00 101.0 NaN NaN 0.259
2012-07-01 02:30:00 102.0 0.281 NaN 0.239
2012-07-01 03:00:00 125.0 0.320 NaN 0.217
2012-07-01 03:30:00 136.0 0.288 NaN 0.283
In: df2
Out:
10053802 10053856 10053898 10058054
2012-07-01 00:00:00 1.0 2.0 3.0 4.0
2012-07-01 00:30:00 1.0 2.0 3.0 4.0
2012-07-01 01:00:00 1.0 2.0 3.0 4.0
2012-07-01 01:30:00 1.0 2.0 3.0 4.0
2012-07-01 02:00:00 1.0 2.0 3.0 4.0
2012-07-01 02:30:00 1.0 2.0 3.0 4.0
2012-07-01 03:00:00 1.0 2.0 3.0 4.0
2012-07-01 03:30:00 1.0 2.0 3.0 4.0
In: df2.copynans(df1)
Out:
10053802 10053856 10053898 10058054
2012-07-01 00:00:00 1.0 2.0 3.0 4.0
2012-07-01 00:30:00 1.0 2.0 3.0 4.0
2012-07-01 01:00:00 1.0 2.0 3.0 4.0
2012-07-01 01:30:00 1.0 NaN 3.0 4.0
2012-07-01 02:00:00 1.0 NaN NaN 4.0
2012-07-01 02:30:00 1.0 2.0 NaN 4.0
2012-07-01 03:00:00 1.0 2.0 NaN 4.0
2012-07-01 03:30:00 1.0 2.0 NaN 4.0
Either
df1.where(df2.notnull())
Or
df1.mask(df2.isnull())