After executing df.to_stata()
with write_index=False
, all NaNs
in df
were automatically replaced by 8.988466e+307
. Please see the following code:
df = pd.DataFrame(np.random.randn(5,4), columns=list('abcd'))
df.ix[2, 'a':'c'] = np.nan
print df
df.to_stata('test.dta', write_index=False)
print df
I am using pandas v0.16.0
. Thanks.
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