I'm currently using savgol filter in my DataFrame, which has 3 columns x, y, z With float values of a signal from a micro controller in pandas it's straight forward df["x"] = savgol_filter(df["x"], 51, 1) df["y"] = savgol_filter(df["y"], 51, 1) df["z"] = savgol_filter(df["z"], 51, 1) how to implement the same in polars I tried using this method df.with_columns( (savgol_filter(df["x"], 51, 1)).alias("x"), (savgol_filter(df["y"], 51, 1)).alias("y"), (savgol_filter(df["z"], 51, 1)).alias("`"), ) The above code returns Attribute error. AttributeError: 'numpy.ndarray' object has no attribute 'alias' Edit: My question is fairly simple, what is the right syntax/method to implement a scipy filters in polars DataFrame?. Continue reading...