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Statistical functions for ndarray arrays (mean, median, variance, correlation, etc.) Statistical functions for ndarray arrays

This module provides statistical functions for ndarray arrays, similar to NumPy’s statistical functions.

Functions§

bincount: Count number of occurrences of each value in array of non-negative ints.
corrcoef: Calculate correlation coefficient between two 1D arrays
cov: Calculate the covariance matrix of a 2D array
digitize: Return the indices of the bins to which each value in input array belongs.
histogram: Calculate a histogram of data
histogram2d: Calculate a 2D histogram of data
max: Calculate the maximum value(s) of array elements
max_2d: Calculate the maximum value(s) of array elements (2D arrays)
mean: Calculate the mean of array elements
mean_2d: Calculate the mean of array elements (2D arrays)
median: Calculate the median of array elements
median_2d: Calculate the median of array elements (2D arrays)
min: Calculate the minimum value(s) of array elements
min_2d: Calculate the minimum value(s) of array elements (2D arrays)
percentile: Calculate the percentile of array elements
percentile_2d: Calculate the percentile of array elements (2D arrays)
product_2d: Calculate the product of array elements (2D arrays)
quantile: Calculate the quantile values from a 1D array
std_dev: Calculate the standard deviation of array elements
std_dev_2d: Calculate the standard deviation of array elements (2D arrays)
sum_2d: Calculate the sum of array elements (2D arrays)
variance: Calculate the variance of array elements
variance_2d: Calculate the variance of array elements (2D arrays)