[BUG] add consistency to_numeric on empty list #32512
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to_numeric should work similarly on empty lists for downcast=unsigned/float/integer Addresses: GH32493
mroeschke
reviewed
Mar 7, 2020
| @@ -627,3 +627,12 @@ def test_non_coerce_uint64_conflict(errors, exp): | |||
| else: | |||
| result = to_numeric(ser, errors=errors) | |||
| tm.assert_series_equal(result, ser) | |||
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| def test_downcast_empty(): | |||
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Could you use pytest.mark.parametrize here?
ShaharNaveh
suggested changes
Mar 10, 2020
| @pytest.mark.parametrize("dc1", ["integer", "float", "unsigned"]) | ||
| @pytest.mark.parametrize("dc2", ["integer", "float", "unsigned"]) | ||
| def test_downcast_empty(dc1, dc2): | ||
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Can you add a comment that points to the original issue?
something like:
# https://github.com/pandas-dev/pandas/issues/32493
Should do it
WillAyd
reviewed
Mar 11, 2020
jreback
added
Dtype Conversions
jreback
requested changes
Mar 11, 2020
jreback
requested changes
Mar 14, 2020
pandas/core/tools/numeric.py
Outdated
| @@ -162,7 +162,7 @@ def to_numeric(arg, errors="raise", downcast=None): | |||
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| if downcast in ("integer", "signed"): | |||
| typecodes = np.typecodes["Integer"] | |||
| elif downcast == "unsigned" and np.min(values) >= 0: | |||
| elif downcast == "unsigned" and (len(values) == 0 or np.min(values) >= 0): | |||
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small change, pls merge master and ping on green.
@jreback Done 👍
to_numeric should work similarly on empty lists for downcast=unsigned/float/integer Addresses: GH32493
jreback
approved these changes
Mar 16, 2020
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thanks @mikekutzma |
SeeminSyed
pushed a commit
to CSCD01-team01/pandas
that referenced
this pull request
Mar 22, 2020
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to_numeric should work similarly on empty lists for
downcast=unsigned/float/integer
Addresses: GH32493
black pandasgit diff upstream/master -u -- "*.py" | flake8 --diff