client.get_dataframe({"classes": "binary", "years": "2010-2020"}, fields={'S':["phase_id", "entry", "chemical_formula", "superconducting_transition_temperature"]})

leads to

construction.py:985, in _finalize_columns_and_data(content, columns, dtype) 982 columns = _validate_or_indexify_columns(contents, columns) 983 except AssertionError as err: 984 # GH#26429 do not raise user-facing AssertionError --> 985 raise ValueError(err) from err 987 if len(contents) and contents[0].dtype == np.object_: 988 contents = _convert_object_array(contents, dtype=dtype) ValueError: 7 columns passed, passed data had 4 columns

reported by @ltalirz

Hi, I found a weird bug when using MPDSDataRetrieval to query structures.
When I use mpds.get_data for this entry

[227,
 'S1002002',
 'LiNbO3',
 [5.2727, 5.2727, 13.8509, 90.0, 90.0, 120.0],
 167,
 [[0.3909, 0.0, 0.25], [0.0, 0.0, 0.214], [0.0, 0.0, 0.0]],
 ['O', 'Li', 'Nb']]

MPDSDataRetrieval().compile_crystal(d[-4:],flavor='pmg') generated structure is Li2NbO3. It does not match the formula of LiNbO3. I wonder which one is correct and if there is something that needs to be fixed.

Thanks in advance!

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Sometimes very unexpectedly appears in my Cygwin environment. Can be solved by a PC restart. Investigating.

JSON outperforms CIF and should be emphasized

sic!

FIXME

Current options fields={} or even fields=None is way too dirty

e.g. direction