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This is necessary before we can move these functions to use fused types.

values = np.asarray(in_arr).T.copy()
else:
values = in_arr.copy()
values = np.asarray(in_arr).copy()
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Why do we need this change?

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Because without it cython raises at compile-time because it in_arr and values have different types

@gfyoung gfyoung added Clean Internals Related to non-user accessible pandas implementation labels Oct 15, 2019
@jreback jreback added this to the 1.0 milestone Oct 15, 2019
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jreback commented Oct 15, 2019

any perf improvement?

@jreback jreback merged commit 3eca505 into pandas-dev:master Oct 15, 2019
@jbrockmendel jbrockmendel deleted the fusemore2 branch October 15, 2019 15:23
proost pushed a commit to proost/pandas that referenced this pull request Dec 19, 2019
proost pushed a commit to proost/pandas that referenced this pull request Dec 19, 2019
bongolegend pushed a commit to bongolegend/pandas that referenced this pull request Jan 1, 2020
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3 participants