3) finally I want to display the relationships of all features against each other, perhaps with
sns.pairplot(table, diag_kind=’kde’)
Currently this behaviour is not supported likely due to the function used to provide inline displays in kxpy/kx_backend_inline.py, more research is needed on this however
External Query
I have a table in kdb – just 5 columns and 100 rows – all numeric (features of a model let’s say)
I want to display the contents of this table in jupyterq from seaborn.
Specifically I want to:
1) display the distribution of the 2nd column using the sns.displot function.
in python
2) display two comparative columns together – ie:
3) finally I want to display the relationships of all features against each other, perhaps with
Currently this behaviour is not supported likely due to the function used to provide inline displays in
kxpy/kx_backend_inline.py
, more research is needed on this however