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Added 'pearson' to methods list in pandas/core/nanops.py #30603

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Merged
merged 10 commits into from
Jan 7, 2020
Merged

Added 'pearson' to methods list in pandas/core/nanops.py #30603

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6804926
Added 'pearson' to methods list
Jan 1, 2020
0f1a2f2
Added 'scipy' as a dependency for azure-macos
Jan 1, 2020
a7decf4
Removed 'scipy' dependency for azure-macos
Jan 1, 2020
ed6f9c9
Added skip if no scipy decorator
Jan 1, 2020
51d5901
Fixes for review #1
Jan 2, 2020
a2cc03e
Merge remote-tracking branch 'upstream/master' into nanops-pearson
Jan 2, 2020
866c70e
Removed all added skips
Jan 2, 2020
c3350db
Merge remote-tracking branch 'upstream/master' into nanops-pearson
Jan 5, 2020
260a826
TST: Added test case
Jan 5, 2020
9571c3b
Merge remote-tracking branch 'upstream/master' into nanops-pearson
Jan 6, 2020
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6 changes: 6 additions & 0 deletions pandas/core/nanops.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1243,8 +1243,14 @@ def nancorr(a, b, method="pearson", min_periods=None):
def get_corr_func(method):
if method in ["kendall", "spearman"]:
from scipy.stats import kendalltau, spearmanr
elif method in ["pearson"]:
pass
elif callable(method):
return method
else:
raise ValueError(
f"Unkown method '{method}', expected one of 'kendall', 'spearman'"
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can you add a test that hits this (likely just calling .corr(method='foo') would do it

)

def _pearson(a, b):
return np.corrcoef(a, b)[0, 1]
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8 changes: 8 additions & 0 deletions pandas/tests/test_nanops.py
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Expand Up @@ -598,6 +598,14 @@ def test_nancorr_spearman(self):
targ1 = spearmanr(self.arr_float_1d.flat, self.arr_float1_1d.flat)[0]
self.check_nancorr_nancov_1d(nanops.nancorr, targ0, targ1, method="spearman")

@td.skip_if_no_scipy
def test_invalid_method(self):
targ0 = np.corrcoef(self.arr_float_2d, self.arr_float1_2d)[0, 1]
targ1 = np.corrcoef(self.arr_float_2d.flat, self.arr_float1_2d.flat)[0, 1]
msg = "Unkown method 'foo', expected one of 'kendall', 'spearman'"
with pytest.raises(ValueError, match=msg):
self.check_nancorr_nancov_1d(nanops.nancorr, targ0, targ1, method="foo")

def test_nancov(self):
targ0 = np.cov(self.arr_float_2d, self.arr_float1_2d)[0, 1]
targ1 = np.cov(self.arr_float_2d.flat, self.arr_float1_2d.flat)[0, 1]
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