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Implement optimized method to select subsets or rows of a DataFrame from groups by rank (-1 -> last) or order statistics #978

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wesm opened this issue Mar 28, 2012 · 2 comments
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Implement optimized method to select subsets or rows of a DataFrame from groups by rank (-1 -> last) or order statistics #978

wesm opened this issue Mar 28, 2012 · 2 comments
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Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff Enhancement Performance Memory or execution speed performance

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@wesm
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wesm commented Mar 28, 2012

Motivated by: http://stackoverflow.com/questions/9850954/pandas-get-most-recent-value-of-a-particular-column-indexed-by-another-column
@jreback jreback modified the milestones: 0.15.0, 0.14.0 Feb 18, 2014
@jreback jreback modified the milestones: 0.16.0, 0.17.0 Jan 26, 2015
@ron819
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ron819 commented Dec 10, 2018

@jreback
Is this still needed? It's marked for 0.17 which was released on 2015.

@jreback
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jreback commented Dec 10, 2018

@ron819 this is not marked for 0.17 at all. the soln which is reasonable is
df.loc[df.groupby('obj_id').data_date.idxmax(),:]

@jreback jreback closed this as completed Dec 10, 2018
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Algos Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff Enhancement Performance Memory or execution speed performance
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