def isnull(input):
'''
Replacement for numpy.isnan / -numpy.isfinite which is suitable
for use on object arrays.
Parameters
----------
arr: ndarray or object value
Returns
-------
boolean ndarray or boolean
'''
if isinstance(input, np.ndarray):
if input.dtype.kind in ('O', 'S'):
# Working around NumPy ticket 1542
shape = input.shape
result = np.empty(shape, dtype=bool)
vec = _tseries.isnullobj(input.ravel())
result[:] = vec.reshape(shape)
else:
result = -np.isfinite(input)
else:
result = _tseries.checknull(input)
return result
def isnull(input):
'''
Replacement for numpy.isnan / -numpy.isfinite which is suitable
for use on object arrays.
Parameters
----------
arr: ndarray or object value
Returns
-------
boolean ndarray or boolean
'''
from pandas.core.generic import PandasObject
from pandas import Series
if isinstance(input, np.ndarray):
if input.dtype.kind in ('O', 'S'):
# Working around NumPy ticket 1542
shape = input.shape
result = np.empty(shape, dtype=bool)
vec = _tseries.isnullobj(input.ravel())
result[:] = vec.reshape(shape)
if isinstance(input, Series):
result = Series(result, index=input.index, copy=False)
else:
result = -np.isfinite(input)
elif isinstance(input, PandasObject):
# TODO: optimize for DataFrame, etc.
return input.apply(isnull)
else:
result = _tseries.checknull(input)
return result
def isnull(obj):
'''
Replacement for numpy.isnan / -numpy.isfinite which is suitable
for use on object arrays.
Parameters
----------
arr: ndarray or object value
Returns
-------
boolean ndarray or boolean
'''
if np.isscalar(obj) or obj is None:
return lib.checknull(obj)
from pandas.core.generic import PandasObject
from pandas import Series
if isinstance(obj, np.ndarray):
if obj.dtype.kind in ('O', 'S'):
# Working around NumPy ticket 1542
shape = obj.shape
result = np.empty(shape, dtype=bool)
vec = lib.isnullobj(obj.ravel())
result[:] = vec.reshape(shape)
if isinstance(obj, Series):
result = Series(result, index=obj.index, copy=False)
elif obj.dtype == np.dtype('M8[ns]'):
# this is the NaT pattern
result = np.array(obj).view('i8') == lib.NaT
else:
result = -np.isfinite(obj)
return result
elif isinstance(obj, PandasObject):
# TODO: optimize for DataFrame, etc.
return obj.apply(isnull)
else:
return obj is None
def isnull(obj):
'''
Replacement for numpy.isnan / -numpy.isfinite which is suitable
for use on object arrays.
Parameters
----------
arr: ndarray or object value
Returns
-------
boolean ndarray or boolean
'''
if np.isscalar(obj) or obj is None:
return lib.checknull(obj)
from pandas.core.generic import PandasObject
from pandas import Series
if isinstance(obj, np.ndarray):
if obj.dtype.kind in ('O', 'S'):
# Working around NumPy ticket 1542
shape = obj.shape
result = np.empty(shape, dtype=bool)
vec = lib.isnullobj(obj.ravel())
result[:] = vec.reshape(shape)
if isinstance(obj, Series):
result = Series(result, index=obj.index, copy=False)
else:
result = -np.isfinite(obj)
return result
elif isinstance(obj, PandasObject):
# TODO: optimize for DataFrame, etc.
return obj.apply(isnull)
else:
return obj is None
