def isnull(self):
"""
Detects missing values for items in the current Dataframe.
Return a boolean same-sized Dataframe indicating if the values are NA.
NA values, such as None or numpy.NaN, gets mapped to True values.
Everything else gets mapped to False values.
See Also
--------
Dataframe.notnull
Examples
--------
>>> df = ks.DataFrame([(.2, .3), (.0, None), (.6, None), (.2, .1)])
>>> df.isnull()
0 1
0 False False
1 False True
2 False True
3 False False
>>> df = ks.DataFrame([[None, 'bee', None], ['dog', None, 'fly']])
>>> df.isnull()
0 1 2
0 True False True
1 False True False
"""
kdf = self.copy()
for name, ks in kdf.iteritems():
kdf[name] = ks.isnull()
return kdf
def isnull(self):
kdf = self.copy()
for name, ks in kdf.iteritems():
kdf[name] = ks.isnull()
return kdf