I want to apply filtering to Polars Dataframe, but each element of the filter is optional, dependent on the availablity of a function parameter. I have a function that takes the following 3 paramters: ticker: str = '', strategy: str = '', iteration: int = -1 If these parameters are not the default value then I want to apply that filter to the dataframe. My logic is as follows: self.configs_df = self.configs_df.filter( (ticker != '' & pl.col('Ticker') == ticker) & (strategy != '' & pl.col('Strategy') == strategy) & (iteration >= 0 & pl.col('Iteration') == iteration) ) but I get an error: TypeError: the truth value of an Expr is ambiguous which I understand, but I don't know how to build the expression up in its logical parts. Any help or guidance would be much appreciated as I am an absolute beginner with Polars, having come from Pandas, where I have this (similar) logic working. Regards, Stuart Continue reading...
