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, out, keepdims]) | Return minimum of an array or minimum along an axis, ignoring any NaNs. |
nanmax(a[, axis, out, keepdims]) | 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, ...]) | Compute the qth percentile of the data along the specified axis. |
nanpercentile(a, q[, axis, out, ...]) | Compute the qth percentile of the data along the specified axis, while ignoring nan values. |
median(a[, axis, out, overwrite_input, keepdims]) | Compute the median along the specified axis. |
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. |
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. |
nanmedian(a[, axis, out, overwrite_input, ...]) | Compute the median along the specified axis, while ignoring NaNs. |
nanmean(a[, axis, dtype, out, keepdims]) | Compute the arithmetic mean along the specified axis, ignoring NaNs. |
nanstd(a[, axis, dtype, out, ddof, keepdims]) | Compute the standard deviation along the specified axis, while ignoring NaNs. |
nanvar(a[, axis, dtype, out, ddof, keepdims]) | Compute the variance along the specified axis, while ignoring NaNs. |
corrcoef(x[, y, rowvar, bias, ddof]) | Return Pearson product-moment correlation coefficients. |
correlate(a, v[, mode]) | Cross-correlation of two 1-dimensional sequences. |
cov(m[, y, rowvar, bias, ddof, fweights, ...]) | Estimate a covariance matrix, given data and weights. |
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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