def notnull(self):
"""
Detects non-missing values for items in the current Dataframe.
This function takes a dataframe and indicates whether it's
values are valid (not missing, which is ``NaN`` in numeric
datatypes, ``None`` or ``NaN`` in objects and ``NaT`` in datetimelike).
See Also
--------
Dataframe.isnull
Examples
--------
>>> df = ks.DataFrame([(.2, .3), (.0, None), (.6, None), (.2, .1)])
>>> df.notnull()
0 1
0 True True
1 True False
2 True False
3 True True
>>> df = ks.DataFrame([['ant', 'bee', 'cat'], ['dog', None, 'fly']])
>>> df.notnull()
0 1 2
0 True True True
1 True False True
"""
kdf = self.copy()
for name, ks in kdf.iteritems():
kdf[name] = ks.notnull()
return kdf
def notnull(self):
kdf = self.copy()
for name, ks in kdf.iteritems():
kdf[name] = ks.notnull()
return kdf