Hi friends

I am working on ploting a QQ plot from statsmodel library of python in plotly. the function statsmodel.qqplot() gives a figure type. I am wondering if there is a way to plot this type in plotly window?

Thanks

Hi,

I guess you could just compute the quantiles by yourself with numpy for both distributions and plot a scatter plot.

Good luck!

Hi @Emmanuelle ,

`scipy.stats.probplot`

takes a `plot`

input which -according to scipy documentation- is an object that has to have methods `plot`

and `text`

. They mentioned that the `matplotlib.pyplot`

module can be used. So is there an equivelant module in Plotly that we can pass to autmatically generate the plot instead of using the output arrays of the `scipy.stats.probplot`

function to manually construct the Q-Q plot?

Thanks,

No, there is no equivalent module in Plotly to automatically generate a Q-Q plot.

The solution is indeed to use a stats module to get the data.

See these examples:

https://plotly.com/python/v3/normality-test/

https://stackoverflow.com/questions/51170553/qq-plot-using-plotly-in-python