Ok,
Our messages crossed. I understand now.
Thanks.
Mark
On Jun 11, 2016, at 12:24 PM, josef.p...@gmail.com wrote:
>
>
> On Sat, Jun 11, 2016 at 2:49 PM, Mark Gawron wrote:
> Thanks, Jozef. This is very helpful. And I will direct this
> to one of the other mailing lists,
>
> On Fri, Jun 10, 2016 at 9:06 AM, Mark Gawron wrote:
>
>
> The scipy.stats.qqplot and scipy.stats.probplot functions plot expected
> values versus actual data values for visualization of fit to a distribution.
> First a one-D array of expected percentiles is generated
gt; vals = dist.ppf(percentiles)
> ax.set_xticks(vals)
> xt = np.array(list(xt)+[3])
> ax.set_xticklabels(xt)
> ax.set_xlabel('Quantile')
> plt.show()
I’ve attached two images to show the difference between the current
visualization and the suggested one.
Mark Gawro
