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BUG: DataFrame.to_json OverflowError with np.long* dtypes #55495

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Oct 16, 2023
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1 change: 1 addition & 0 deletions doc/source/whatsnew/v2.2.0.rst
Original file line number Diff line number Diff line change
Expand Up @@ -348,6 +348,7 @@ I/O
- Bug in :func:`read_csv` with ``engine="pyarrow"`` where ``usecols`` wasn't working with a csv with no headers (:issue:`54459`)
- Bug in :func:`read_excel`, with ``engine="xlrd"`` (``xls`` files) erroring when file contains NaNs/Infs (:issue:`54564`)
- Bug in :func:`to_excel`, with ``OdsWriter`` (``ods`` files) writing boolean/string value (:issue:`54994`)
- Bug in :meth:`DataFrame.to_json` OverflowError with np.long* dtypes (:issue:`55403`)
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- Bug in :meth:`pandas.read_excel` with an ODS file without cached formatted cell for float values (:issue:`55219`)

Period
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8 changes: 6 additions & 2 deletions pandas/_libs/src/vendored/ujson/python/objToJSON.c
Original file line number Diff line number Diff line change
Expand Up @@ -1610,9 +1610,13 @@ void Object_beginTypeContext(JSOBJ _obj, JSONTypeContext *tc) {
PyArray_DescrFromType(NPY_DOUBLE));
tc->type = JT_DOUBLE;
return;
} else if (PyArray_Check(obj) && PyArray_CheckScalar(obj)) {
} else if (PyArray_CheckScalar(obj)) {
/* This handles all cases of array of zero dimension (numpy.array(1)) OR
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unimplemented serializable for numpy scalar type like: numpy.longdouble.
If we plan to handle any other numpy type for serializations,
we need to keep it above this block. */
PyErr_Format(PyExc_TypeError,
"%R (0d array) is not JSON serializable at the moment",
"%R (numpy-scalar) is not JSON serializable at the moment",
obj);
goto INVALID;
} else if (object_is_na_type(obj)) {
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11 changes: 10 additions & 1 deletion pandas/tests/io/json/test_ujson.py
Original file line number Diff line number Diff line change
Expand Up @@ -814,10 +814,19 @@ def test_array_float(self):

def test_0d_array(self):
# gh-18878
msg = re.escape("array(1) (0d array) is not JSON serializable at the moment")
msg = re.escape(
"array(1) (numpy-scalar) is not JSON serializable at the moment"
)
with pytest.raises(TypeError, match=msg):
ujson.ujson_dumps(np.array(1))

def test_array_long_double(self):
msg = re.compile(
"1234.5.* \\(numpy-scalar\\) is not JSON serializable at the moment"
)
with pytest.raises(TypeError, match=msg):
ujson.ujson_dumps(np.longdouble(1234.5))


class TestPandasJSONTests:
def test_dataframe(self, orient):
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