Order statistics

amin(a[, axis, out, keepdims]) Return the minimum of an array or minimum along an axis.
amax(a[, axis, out, keepdims]) Return the maximum of an array or maximum along an axis.
nanmin(a[, axis]) Return the minimum of an array or minimum along an axis ignoring any NaNs.
nanmax(a[, axis]) Return the maximum of an array or maximum along an axis ignoring any NaNs.
ptp(a[, axis, out]) Range of values (maximum - minimum) along an axis.
percentile(a, q[, axis, out, overwrite_input]) Compute the qth percentile of the data along the specified axis.

Averages and variances

average(a[, axis, weights, returned]) Compute the weighted average along the specified axis.
mean(a[, axis, dtype, out, keepdims]) 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, ddof, keepdims]) Compute the standard deviation along the specified axis.
var(a[, axis, dtype, out, ddof, keepdims]) Compute the variance along the specified axis.


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


histogram(a[, bins, range, normed, weights, ...]) Compute the histogram of a set of data.
histogram2d(x, y[, bins, range, normed, weights]) Compute the bi-dimensional histogram of two data samples.
histogramdd(sample[, bins, range, normed, ...]) Compute the multidimensional histogram of some data.
bincount(x[, weights, minlength]) Count number of occurrences of each value in array of non-negative ints.
digitize(x, bins[, right]) Return the indices of the bins to which each value in input array belongs.

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