# Statistics¶

## Order statistics¶

 mars.tensor.amin Return the minimum of a tensor or minimum along an axis. mars.tensor.amax Return the maximum of an array or maximum along an axis. mars.tensor.nanmin Return minimum of a tensor or minimum along an axis, ignoring any NaNs. mars.tensor.nanmax Return the maximum of an array or maximum along an axis, ignoring any NaNs. mars.tensor.ptp Range of values (maximum - minimum) along an axis.

## Average and variances¶

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

## Correlating¶

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

## Histograms¶

 mars.tensor.digitize Return the indices of the bins to which each value in input tensor belongs.