Read them as numpy matrices named male and female using numpy.genfromtxt.Compute the basic numerical aggregates of the male and female BMIs $($measures of location, dispersion, and shape$).$ Report them in a readable format. Example formatting of the aggregates:

## female male

## BMI mean $30\mathrm{.}1029\mathrm{.}14$

## median $28\mathrm{.}8928\mathrm{.}27$

## min $14\mathrm{.}2014\mathrm{.}91$

## max $67\mathrm{.}0466\mathrm{.}50$

## std $7\mathrm{.}766\mathrm{.}31$

## IQR $10\mathrm{.}017\mathrm{.}73$

## skew $0\mathrm{.}920\mathrm{.}97$ using numpy in python