Derek Powell

Just a question about propagating uncertainty in this way: For variables with multiple endogenous predictors (or nodes with multiple parents, in graphical terms) it seems like the number of samples...

It's possible I'm just getting myself confused. I guess I'm asking if this approach can be generalized to propagate uncertainty throughout a larger network with more "layers". Rereading this thread,...

Thanks for the quick response. `type(X.x)` returns `dfply.base.Intention` `type(df.x)` returns `pandas.core.series.Series` (as expected). In the example I gave, `df.assign(y = np.log(df.x))` works fine. So I'm pretty sure it's not a...

I'm not an expert but I'm very confident it's not a problem with the original dataframe. Would be curious if the example I gave reproduces? Can also try an even...

Aha, this is what I feared. That's unfortunate, definitely limits the utility of the `mutate()` functions in dfply. I've also been playing with the [plydata](https://github.com/has2k1/plydata) package which can handle these...

Ok I tested a few things. 1. When I open the file `ipymd-test.md` that is in .ipymd style (created and saved in jupyter notebook), jupyter lab opens it in the...

Wanted to check up on this. Looks like the jupyterlab folks suggested a way forward, though I don't have a sense of how much it would take to implement. Still...