BUG: Fix bug for kendall corr when in DF num and bool #11560
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| if i > j: | ||
| continue | ||
| elif i == j: | ||
| correl[i, i] = 1. |
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this is not correct if all of the values are NaN, then the result is Nan, so you can check that case or let this fall thru. Pls test for this (if its not done already)
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@jreback Jeff, |
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| # so it need to be properly handled | ||
| df = DataFrame({"a": [True, False], "b": [1, 0]}) | ||
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| expected = np.ones((2, 2), dtype=np.float64) |
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construct an actual DataFrame here and use assert_frame_equal for comparison
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couple of comments. pls add a whatsnew (put in bug fixes), use this PR number as the issue number. squash, then ping when green. |
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@jreback Done |
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…all-for-num-and-bool BUG: Fix bug for kendall corr when in DF num and bool
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thanks! |
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@jreback Thank you for pandas! |
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Hi,
so
np.isfinite(mat)will raise Exception.I've fixed this by using
com._ensure_float64like for other correlation.