Protection against (extreme) outliers in sparse histograms #215
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- Performance speedup in histogram summation
o Replace for loop with np.sum
- Protection against outliers in sparse histograms
o Protect against extreme outliers in sparse histograms by avoiding the use
of its dense representation where possible.
- black histogram_section code
- Working analysis function unit tests
o update of test_report_generator
o section_generator now passes np arrays to plot_bars_b64, no longer pd.Series.
- Bump up versions of histogrammar and popmon
- Added crop_range option to get_consistent_numpy_1dhists function
o return a cropped range version of the histogram, between 5-95% quantiles.
o Plot cropped histograms in histogram section of report.
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sbrugman
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- Performance speedup in histogram summation
o Replace for loop with np.sum
- Protection against outliers in sparse histograms
o Protect against extreme outliers in sparse histograms by avoiding the use
of its dense representation where possible.
- Working analysis function unit tests
o update of test_report_generator
o section_generator now passes np arrays to plot_bars_b64, no longer pd.Series.
- Added crop_range option to get_consistent_numpy_1dhists function
o return a cropped range version of the histogram, between 5-95% quantiles.
o Plot cropped histograms in histogram section of report.
- Bump up versions of histogrammar
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o Protect against extreme outliers in sparse histograms by avoiding the use of its dense representation where possible.
o Replace for loop with np.sum
o black histogram_section code
o update of test_report_generator
o section_generator now passes np arrays to plot_bars_b64, no longer pd.Series.