def test_serialize_s3_pickle_anon(sample_df_pandas, s3_client, s3_bucket):
pandas_dt = DataTable(sample_df_pandas)
pandas_dt.to_pickle(TEST_S3_URL, profile_name=False)
make_public(s3_client, s3_bucket)
_dt = deserialize.read_datatable(TEST_S3_URL, profile_name=False)
pd.testing.assert_frame_equal(
to_pandas(pandas_dt.to_dataframe(), index=pandas_dt.index),
to_pandas(_dt.to_dataframe(), index=_dt.index))
assert pandas_dt == _dt
def test_to_pickle(sample_df, tmpdir):
dt = DataTable(sample_df)
if not isinstance(sample_df, pd.DataFrame):
msg = 'DataFrame type not compatible with pickle serialization. Please serialize to another format.'
with pytest.raises(ValueError, match=msg):
dt.to_pickle(str(tmpdir))
else:
dt.to_pickle(str(tmpdir))
_dt = deserialize.read_datatable(str(tmpdir))
pd.testing.assert_frame_equal(
to_pandas(dt.to_dataframe(), index=dt.index),
to_pandas(_dt.to_dataframe(), index=_dt.index))
assert dt == _dt
def test_to_pickle_with_latlong(latlong_df, tmpdir):
dt = DataTable(
latlong_df,
logical_types={col: 'LatLong'
for col in latlong_df.columns})
if not isinstance(latlong_df, pd.DataFrame):
msg = 'DataFrame type not compatible with pickle serialization. Please serialize to another format.'
with pytest.raises(ValueError, match=msg):
dt.to_pickle(str(tmpdir))
else:
dt.to_pickle(str(tmpdir))
_dt = deserialize.read_datatable(str(tmpdir))
pd.testing.assert_frame_equal(
to_pandas(dt.to_dataframe(), index=dt.index, sort_index=True),
to_pandas(_dt.to_dataframe(), index=_dt.index, sort_index=True))
assert dt == _dt
