def notnull(input):
"""
Replacement for numpy.isfinite / -numpy.isnan which is suitable
for use on object arrays.
Parameters
----------
arr: ndarray or object value
Returns
-------
boolean ndarray or boolean
"""
if isinstance(input, np.ndarray):
return -isnull(input)
else:
return not tseries.checknull(input)
def notnull(input):
'''
Replacement for numpy.isfinite / -numpy.isnan which is suitable
for use on object arrays.
Parameters
----------
arr: ndarray or object value
Returns
-------
boolean ndarray or boolean
'''
if isinstance(input, np.ndarray):
return -isnull(input)
else:
return not tseries.checknull(input)
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
result = input.copy().astype(bool)
result[:] = tseries.isnullobj(input)
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
'''
if isinstance(input, np.ndarray):
if input.dtype.kind in ('O', 'S'):
# Working around NumPy ticket 1542
result = input.copy().astype(bool)
result[:] = tseries.isnullobj(input)
else:
result = -np.isfinite(input)
else:
result = tseries.checknull(input)
return result
