def _infer_object_dtype(arr):
# TODO: accelerate with Cython/C
BOOLEAN, STRING = 0, 1
state = BOOLEAN
avalues = arr.values if isinstance(arr, pd.Series) else arr
nulls = pd.isnull(avalues)
if nulls.any():
for i in compat.range(len(avalues)):
if state == BOOLEAN:
if not nulls[i] and not pdcom.is_bool(avalues[i]):
state = STRING
elif state == STRING:
break
if state == BOOLEAN:
return 'boolean'
elif state == STRING:
return 'string'
else:
return pd.lib.infer_dtype(avalues)
def _infer_object_dtype(arr):
# TODO: accelerate with Cython/C
BOOLEAN, STRING = 0, 1
state = BOOLEAN
avalues = arr.values if isinstance(arr, pd.Series) else arr
nulls = pd.isnull(avalues)
if nulls.any():
for i in compat.range(len(avalues)):
if state == BOOLEAN:
if not nulls[i] and not pdcom.is_bool(avalues[i]):
state = STRING
elif state == STRING:
break
if state == BOOLEAN:
return 'boolean'
elif state == STRING:
return 'string'
else:
return infer_dtype(avalues)