def _isnull_ndarraylike_old(obj):
values = getattr(obj, 'values', obj)
dtype = values.dtype
if is_string_dtype(dtype):
# Working around NumPy ticket 1542
shape = values.shape
if is_string_like_dtype(dtype):
result = np.zeros(values.shape, dtype=bool)
else:
result = np.empty(shape, dtype=bool)
vec = lib.isnullobj_old(values.ravel())
result[:] = vec.reshape(shape)
elif dtype in _DATELIKE_DTYPES:
# this is the NaT pattern
result = values.view('i8') == iNaT
else:
result = ~np.isfinite(values)
# box
if isinstance(obj, ABCSeries):
from pandas import Series
result = Series(result, index=obj.index, name=obj.name, copy=False)
return result
def _isnull_ndarraylike_old(obj):
values = getattr(obj, 'values', obj)
dtype = values.dtype
if is_string_dtype(dtype):
# Working around NumPy ticket 1542
shape = values.shape
if is_string_like_dtype(dtype):
result = np.zeros(values.shape, dtype=bool)
else:
result = np.empty(shape, dtype=bool)
vec = lib.isnullobj_old(values.ravel())
result[:] = vec.reshape(shape)
elif is_datetime64_dtype(dtype):
# this is the NaT pattern
result = values.view('i8') == iNaT
else:
result = ~np.isfinite(values)
# box
if isinstance(obj, ABCSeries):
from pandas import Series
result = Series(result, index=obj.index, name=obj.name, copy=False)
return result
def _isnull_ndarraylike_old(obj):
from pandas import Series
values = np.asarray(obj)
if values.dtype.kind in ('O', 'S', 'U'):
# Working around NumPy ticket 1542
shape = values.shape
if values.dtype.kind in ('S', 'U'):
result = np.zeros(values.shape, dtype=bool)
else:
result = np.empty(shape, dtype=bool)
vec = lib.isnullobj_old(values.ravel())
result[:] = vec.reshape(shape)
if isinstance(obj, Series):
result = Series(result, index=obj.index, copy=False)
elif values.dtype == np.dtype('M8[ns]'):
# this is the NaT pattern
result = values.view('i8') == tslib.iNaT
else:
result = -np.isfinite(obj)
return result
def _isnull_ndarraylike_old(obj):
from pandas import Series
values = np.asarray(obj)
if values.dtype.kind in ('O', 'S', 'U'):
# Working around NumPy ticket 1542
shape = values.shape
if values.dtype.kind in ('S', 'U'):
result = np.zeros(values.shape, dtype=bool)
else:
result = np.empty(shape, dtype=bool)
vec = lib.isnullobj_old(values.ravel())
result[:] = vec.reshape(shape)
if isinstance(obj, Series):
result = Series(result, index=obj.index, copy=False)
elif values.dtype == np.dtype('M8[ns]'):
# this is the NaT pattern
result = values.view('i8') == tslib.iNaT
else:
result = -np.isfinite(obj)
return result
