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Make to_numeric default to correct precision #36149

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2 changes: 1 addition & 1 deletion doc/source/whatsnew/v1.2.0.rst
Original file line number Diff line number Diff line change
Expand Up @@ -245,7 +245,7 @@ Timezones

Numeric
^^^^^^^
-
- Bug in :func:`to_numeric` where float precision was incorrect (:issue:`31364`)
-

Conversion
Expand Down
4 changes: 3 additions & 1 deletion pandas/_libs/src/parse_helper.h
Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,9 @@ int to_double(char *item, double *p_value, char sci, char decimal,
char *p_end = NULL;
int error = 0;

*p_value = xstrtod(item, &p_end, decimal, sci, '\0', 1, &error, maybe_int);
/* Switch to precise xstrtod GH 31364 */
*p_value = precise_xstrtod(item, &p_end, decimal, sci, '\0', 1,
&error, maybe_int);

return (error == 0) && (!*p_end);
}
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58 changes: 58 additions & 0 deletions pandas/tests/tools/test_to_numeric.py
Original file line number Diff line number Diff line change
Expand Up @@ -649,3 +649,61 @@ def test_failure_to_convert_uint64_string_to_NaN():
ser = Series([32, 64, np.nan])
result = to_numeric(pd.Series(["32", "64", "uint64"]), errors="coerce")
tm.assert_series_equal(result, ser)


@pytest.mark.parametrize(
"strrep",
[
"243.164",
"245.968",
"249.585",
"259.745",
"265.742",
"272.567",
"279.196",
"280.366",
"275.034",
"271.351",
"272.889",
"270.627",
"280.828",
"290.383",
"308.153",
"319.945",
"336.0",
"344.09",
"351.385",
"356.178",
"359.82",
"361.03",
"367.701",
"380.812",
"387.98",
"391.749",
"391.171",
"385.97",
"385.345",
"386.121",
"390.996",
"399.734",
"413.073",
"421.532",
"430.221",
"437.092",
"439.746",
"446.01",
"451.191",
"460.463",
"469.779",
"472.025",
"479.49",
"474.864",
"467.54",
"471.978",
],
)
def test_precision_float_conversion(strrep):
# GH 31364
result = to_numeric(strrep)

assert result == float(strrep)