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Statistics¶

Extremal values¶

`amin` (a[, axis, out])	Return the minimum along an axis.
`amax` (a[, axis, out])	Return the maximum along an axis.
`nanmax` (a[, axis])	Return the maximum of array elements over the given axis ignoring any NaNs.
`nanmin` (a[, axis])	Return the minimum of array elements over the given axis ignoring any NaNs.
`ptp` (a[, axis, out])	Range of values (maximum - minimum) along an axis.

`average` (a[, axis, weights, returned])	Return the weighted average of array over the specified axis.
`mean` (a[, axis, dtype, out])	Compute the arithmetic mean along the specified axis.
`median` (a[, axis, out, overwrite_input])	Compute the median along the specified axis.
`std` (a[, axis, dtype, out, ...])	Compute the standard deviation along the specified axis.
`var` (a[, axis, dtype, out, ...])	Compute the variance along the specified axis.

`corrcoef` (x[, y, rowvar, bias])	Return correlation coefficients.
`correlate` (a, v[, mode])	Discrete, linear correlation of two 1-dimensional sequences.
`cov` (m[, y, rowvar, bias])	Estimate a covariance matrix, given data.

`histogram` (a[, bins, range, normed, ...])	Compute the histogram of a set of data.
`histogram2d` (x, y[, bins, range, normed, ...])	Compute the bidimensional histogram of two data samples.
`histogramdd` (sample[, bins, range, normed, ...])	Compute the multidimensional histogram of some data.
`bincount` (x,weights])	Return the number of occurrences of each value in x.
`digitize` (x,bins)	Return the index of the bin to which each value of x belongs.