def test_dict_compat():
data_datetime64 = {np.datetime64("1990-03-15"): 1, np.datetime64("2015-03-15"): 2}
data_unchanged = {1: 2, 3: 4, 5: 6}
expected = {Timestamp("1990-3-15"): 1, Timestamp("2015-03-15"): 2}
assert com.dict_compat(data_datetime64) == expected
assert com.dict_compat(expected) == expected
assert com.dict_compat(data_unchanged) == data_unchanged
def test_dict_compat():
data_datetime64 = {np.datetime64('1990-03-15'): 1,
np.datetime64('2015-03-15'): 2}
data_unchanged = {1: 2, 3: 4, 5: 6}
expected = {Timestamp('1990-3-15'): 1, Timestamp('2015-03-15'): 2}
assert (com.dict_compat(data_datetime64) == expected)
assert (com.dict_compat(expected) == expected)
assert (com.dict_compat(data_unchanged) == data_unchanged)
def _homogenize(data, index, dtype=None):
oindex = None
homogenized = []
for val in data:
if isinstance(val, ABCSeries):
if dtype is not None:
val = val.astype(dtype)
if val.index is not index:
# Forces alignment. No need to copy data since we
# are putting it into an ndarray later
val = val.reindex(index, copy=False)
else:
if isinstance(val, dict):
if oindex is None:
oindex = index.astype('O')
if isinstance(index, (ABCDatetimeIndex, ABCTimedeltaIndex)):
val = com.dict_compat(val)
else:
val = dict(val)
val = lib.fast_multiget(val, oindex.values, default=np.nan)
val = sanitize_array(val,
index,
dtype=dtype,
copy=False,
raise_cast_failure=False)
homogenized.append(val)
return homogenized
def _homogenize(data, index, dtype=None):
oindex = None
homogenized = []
for val in data:
if isinstance(val, ABCSeries):
if dtype is not None:
val = val.astype(dtype)
if val.index is not index:
# Forces alignment. No need to copy data since we
# are putting it into an ndarray later
val = val.reindex(index, copy=False)
else:
if isinstance(val, dict):
if oindex is None:
oindex = index.astype('O')
if isinstance(index, (ABCDatetimeIndex, ABCTimedeltaIndex)):
val = com.dict_compat(val)
else:
val = dict(val)
val = lib.fast_multiget(val, oindex.values, default=np.nan)
val = sanitize_array(val, index, dtype=dtype, copy=False,
raise_cast_failure=False)
homogenized.append(val)
return homogenized