dx_function

clustertools.util.recipes.dx_function(x, nx=10, bintype='num', x_lower=None, x_mean=None, x_upper=None, plot=False, **kwargs)

Find distribution function using nx bins

Parameters:

xfloat

input arrayå

nxint

number of bins (default : 10)

bintypestr

bin with equal number of stars per bin (num) or evenly in x (fix) (default: num)

x_lower,x_mean,x_upperfloat

preset lower limit, mean value, and upper limit bins

Returns:

x_meanfloat

mean value in each bin

x_histfloat

number of stars in each bin

dxfloat

number of stars in each bin divided by width of bin

alphafloat

power law slope fit to dx vs x_mean

ealphafloat

error in alpha

yalphafloat

y-intercept of fit to log(dx) vs lod(x_mean)

eyalphafloat

error in yalpha