I'm using a subclass of pandas' DataFrame class. The subclass needs to have a property that is a list. Here's an example: import pandas as pd class MyDataFrame(pd.DataFrame): def __init__(self, data, colors, *args, **kwargs): m = pd.DataFrame(data) super().__init__(m, *args, **kwargs) self.colors = colors my_df = MyDataFrame( { "name": ["Fred", "Wilma"], "age": [42, 38] }, colors=["red", "yellow", "green"]) This gets me the following warning on self.colors = colors: UserWarning: Pandas doesn't allow columns to be created via a new attribute name - see https://pandas.pydata.org/pandas-docs/stable/indexing.html#attribute-access It appears that the problem is DataFrame's feature of treating column headers as attributes and interpreting the "self.colors = colors" line as a request to add a column to the DataFrame, which it very reasonable declines to do. I've tried added a setter without effect. I also tried moving the attribute assignment above the super().__init__ call, but ended up in an infinite recursion. What can I do to fix this? Continue reading...
