def _asarray_tuplesafe(values, dtype=None): from pandas.core.index import Index if not (isinstance(values, (list, tuple)) or hasattr(values, '__array__')): values = list(values) elif isinstance(values, Index): return values.values if isinstance(values, list) and dtype in [np.object_, object]: return lib.list_to_object_array(values) result = np.asarray(values, dtype=dtype) if issubclass(result.dtype.type, compat.string_types): result = np.asarray(values, dtype=object) if result.ndim == 2: if isinstance(values, list): return lib.list_to_object_array(values) else: # Making a 1D array that safely contains tuples is a bit tricky # in numpy, leading to the following try: result = np.empty(len(values), dtype=object) result[:] = values except ValueError: # we have a list-of-list result[:] = [tuple(x) for x in values] return result
def _asarray_tuplesafe(values, dtype=None): from pandas.core.index import Index if not (isinstance(values, (list, tuple)) or hasattr(values, '__array__')): values = list(values) elif isinstance(values, Index): return values.values if isinstance(values, list) and dtype in [np.object_, object]: return lib.list_to_object_array(values) result = np.asarray(values, dtype=dtype) if issubclass(result.dtype.type, compat.string_types): result = np.asarray(values, dtype=object) if result.ndim == 2: if isinstance(values, list): return lib.list_to_object_array(values) else: # Making a 1D array that safely contains tuples is a bit tricky # in numpy, leading to the following try: result = np.empty(len(values), dtype=object) result[:] = values except ValueError: # we have a list-of-list result[:] = [tuple(x) for x in values] return result
def maybe_convert_platform(values): """ try to do platform conversion, allow ndarray or list here """ if isinstance(values, (list, tuple)): values = lib.list_to_object_array(list(values)) if getattr(values, 'dtype', None) == np.object_: if hasattr(values, '_values'): values = values._values values = lib.maybe_convert_objects(values) return values
def maybe_convert_platform(values): """ try to do platform conversion, allow ndarray or list here """ if isinstance(values, (list, tuple)): values = lib.list_to_object_array(list(values)) if getattr(values, 'dtype', None) == np.object_: if hasattr(values, '_values'): values = values._values values = lib.maybe_convert_objects(values) return values
def _zip2(*args): return lib.list_to_object_array(lzip(*args))
def _zip2(*args): return lib.list_to_object_array(lzip(*args))