Statistics¶
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, 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. |
Averages and variances¶
| 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. |
Correlating¶
| 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. |
Histograms¶
| 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. |