Statistics#

ptp(a[,axis,out,keepdims])

Range of values (maximum - minimum) along an axis.

nanpercentile(a,q[,axis,out,...])

Compute the qth percentile of the data along the specified axis, while ignoring nan values.

nanquantile(a,q[,axis,out,...])

Compute the qth quantile 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.

mean(a[,axis,dtype,out,keepdims,where])

Compute the arithmetic mean along the specified axis.

var(a[,axis,dtype,out,ddof,keepdims,...])

Compute the variance along the specified axis.

nanmean(a[,axis,dtype,out,keepdims,where])

Compute the arithmetic mean along the specified axis, ignoring NaNs.

nanvar(a[,axis,dtype,out,ddof,...])

Compute the variance along the specified axis, while ignoring NaNs.

corrcoef(x[,y,rowvar,dtype])

Return Pearson product-moment correlation coefficients.

cov(m[,y,rowvar,bias,ddof,fweights,...])

Estimate a covariance matrix, given data and weights.

histogram(a[,bins,range,density,weights])

Compute the histogram of a dataset.

histogramdd(sample[,bins,range,density,...])

Compute the multidimensional histogram of some data.

histogram_bin_edges(a[,bins,range,weights])

Function to calculate only the edges of the bins used by the histogram function.