Statistics

Order statistics

maxframe.tensor.ptp	Range of values (maximum - minimum) along an axis.
maxframe.tensor.percentile	Compute the q-th percentile of the data along the specified axis.
maxframe.tensor.quantile	Compute the q-th quantile of the data along the specified axis.
maxframe.tensor.nanmin	Return minimum of a tensor or minimum along an axis, ignoring any NaNs.
maxframe.tensor.nanmax	Return the maximum of an array or maximum along an axis, ignoring any NaNs.

Average and variances

maxframe.tensor.median	Compute the median along the specified axis.
maxframe.tensor.average	Compute the weighted average along the specified axis.
maxframe.tensor.mean	Compute the arithmetic mean along the specified axis.
maxframe.tensor.std	Compute the standard deviation along the specified axis.
maxframe.tensor.var	Compute the variance along the specified axis.
maxframe.tensor.nanmean	Compute the arithmetic mean along the specified axis, ignoring NaNs.
maxframe.tensor.nanstd	Compute the standard deviation along the specified axis, while ignoring NaNs.
maxframe.tensor.nanvar	Compute the variance along the specified axis, while ignoring NaNs.

Correlating

maxframe.tensor.corrcoef	Return Pearson product-moment correlation coefficients.
maxframe.tensor.cov	Estimate a covariance matrix, given data and weights.

Histograms

maxframe.tensor.histogram	Compute the histogram of a set of data.
maxframe.tensor.bincount	Count number of occurrences of each value in array of non-negative ints.
maxframe.tensor.histogram_bin_edges	Function to calculate only the edges of the bins used by the histogram function.
maxframe.tensor.digitize	Return the indices of the bins to which each value in input tensor belongs.