`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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Licensed under the NumPy License.

https://docs.scipy.org/doc/numpy-1.13.0/reference/routines.statistics.html