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]) | Compute the weighted average along 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, ddof]) | Compute the standard deviation along the specified axis. |
| var(a[, axis, dtype, out, ddof]) | Compute the variance along the specified axis. |
Correlating¶
| corrcoef(x[, y, rowvar, bias]) | Return correlation coefficients. |
| correlate(a, v[, mode, old_behavior]) | 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, weights, new]) | 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]) | Count number of occurrences of each value in array of non-negative ints. |
| digitize(x, bins) | Return the indices of the bins to which each value in input array belongs. |
