Statistics

The following tables show statistical functions provided by NLCPy.

Order Statistics

nlcpy.amax	Returns the maximum of an array or maximum along an axis.
nlcpy.amin	Returns the minimum of an array or minimum along an axis.
nlcpy.nanmax	Returns maximum of an array or maximum along an axis, ignoring any NaNs.
nlcpy.nanmin	Returns minimum of an array or minimum along an axis, ignoring any NaNs.
nlcpy.ptp	Range of values (maximum - minimum) along an axis.
nlcpy.percentile	Computes the q-th percentile of the data along the specified axis.
nlcpy.nanpercentile	Computes the q-th percentile of the data along the specified axis, while ignoring nan values.
nlcpy.quantile	Computes the q-th quantile of the data along the specified axis.
nlcpy.nanquantile	Computes the q-th quantile of the data along the specified axis, while ignoring nan values.

Averages and Variances

nlcpy.average	Computes the weighted average along the specified axis.
nlcpy.mean	Computes the arithmetic mean along the specified axis.
nlcpy.median	Computes the median along the specified axis.
nlcpy.nanmedian	Computes the median along the specified axis, while ignoring NaNs.
nlcpy.nanmean	Computes the arithmetic mean along the specified axis, ignoring NaNs.
nlcpy.nanstd	Computes the standard deviation along the specified axis, while ignoring NaNs.
nlcpy.nanvar	Computes the variance along the specified axis, while ignoring NaNs.
nlcpy.std	Computes the standard deviation along the specified axis.
nlcpy.var	Computes the variance along the specified axis.

Correlating

nlcpy.correlate	Cross-correlation of two 1-dimensional sequences.
nlcpy.corrcoef	Returns Pearson product-moment correlation coefficients.
nlcpy.cov	Estimates a covariance matrix, given data and weights.

Histograms

nlcpy.histogram	Computes the histogram of a set of data.
nlcpy.histogram2d	Computes the bi-dimensional histogram of two data samples.
nlcpy.histogramdd	Computes the multidimensional histogram of some data.
nlcpy.bincount	Counts number of occurrences of each value in array of non-negative ints.
nlcpy.histogram_bin_edges	Function to calculate only the edges of the bins used by histogram() function.
nlcpy.digitize	Return is the indices of the bins to which each value in input array belongs.