python - How to set significant figures in pyplot annotation -

p-values , d-values k-s test need displayed on pylot histogram. thankfully, p-values low, low display 0.0 when use round. tried numpy.set_printoptions(precision=3) limit significant digits thousands place, changed output printing interpreter, , not graph.

 ks_d, ks_p = ks_2samp(cntrl, test)   ks_summ = "k-s d-value = {}\nk-s p-value = {}".format(round(ks_d, 3), round(ks_p, 3)) pyplot.annotate(ks_summ, xy=(0.70, 0.75), xycoords='axes fraction') 

so how can display 1.2228387401e-24 (<class 'numpy.float64'>) 1.223e-24 in graph annotation?

here graph p-value showing 0.0:

you need modify line

ks_summ = "k-s d-value = {}\nk-s p-value = {}".format(round(ks_d, 3), round(ks_p, 3)) 

to read

ks_summ = "k-s d-value = {}\nk-s p-value = {:.3e}".format(round(ks_d, 3), ks_p) 

the {:.3e} format means 3 decimal places exponential notation. , since rounding 3 decimal places in included in formatting notation, can drop code round ks_p. example:

>>> ks_p = 1.2228387401e-24 >>> '{:.3e}'.format(ks_p) '1.223e-24' 

finally, note can apply string format ks_d, well. {:.3f} may trick (i.e. 3 decimal place rounding).

>>> ks_d = 0.38210101 >>> '{:.3f}'.format(ks_d) '0.382'