### Navigation

- index
- modules |
- next |
- previous |
- NumPy v1.3 Manual (DRAFT) »
- NumPy Reference »
- Routines »

# 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.

## Averages and variances

`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.

## Correlating

`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.

## Histograms

`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.

### Navigation

- index
- modules |
- next |
- previous |
- NumPy v1.3 Manual (DRAFT) »
- NumPy Reference »
- Routines »