Statistics

The following table lists both implemented and not implemented methods. If you have need of an operation that is listed as not implemented, feel free to open an issue on the GitHub repository, or give a thumbs up to already created issues. Contributions are also welcome!

The following table is structured as follows: The first column contains the method name. The second column contains link to a description of corresponding numpy method. The third column is a flag for whether or not there is an implementation in Xorbits for the method in the left column. Y stands for yes, N stands for no, P standsfor partial (meaning some parameters may not be supported yet), and D stands for default to numpy.

Order statistics

xorbits.numpy	numpy	Implemented? (Y/N/P/D)	Notes for Current implementation
ptp	ptp	Y
percentile	percentile	Y
nanpercentile	nanpercentile	Y
quantile	quantile	Y
nanquantile	nanquantile	Y

Averages and variances

xorbits.numpy	numpy	Implemented? (Y/N/P/D)	Notes for Current implementation
median	median	Y
average	average	Y
mean	mean	Y
std	std	Y
var	var	Y
nanmedian	nanmedian	Y
nanmean	nanmean	Y
nanstd	nanstd	Y
nanvar	nanvar	Y

Correlating

xorbits.numpy	numpy	Implemented? (Y/N/P/D)	Notes for Current implementation
corrcoef	corrcoef	Y
correlate	correlate	Y
cov	cov	Y

Histograms

xorbits.numpy	numpy	Implemented? (Y/N/P/D)	Notes for Current implementation
histogram	histogram	Y
histogram2d	histogram2d	Y
histogramdd	histogramdd	Y
bincount	bincount	Y
histogram_bin_edges	histogram_bin_edges	Y
digitize	digitize	Y