Aggregating multiple columns in polars with missing values
I am trying to perform some aggregations, while I loved polars, there are certain things, which I am unable to perform. Here are my approach and question for reference.
Polars map elements doesn’t work properly with isinstance
I have a polars dataframe with two columns, one contains lists of string and the other one string. I want to apply the following expression to both columns. However, for some reason isinstance(x, list) doesn’t work properly.
How to use Polars.filter() with null data
I have a dataframe and I need to make filter all line which are not “qty”
Polars.apply() by several columns
I have dataframe Polars with a lot of columns. I need to create new columnt with the result of my own function
Read the function definition of pipe in polars python
The documentation of pipe in polars says :