How to split dataframe or array by unique column value with multiple unique values

Question

So I have a dataframe that looks like this for example:

In this example, I need to split the dataframe into multiple dataframes based on the account_id(or arrays because I will convert it anyways). I want each account id (ab123982173 and bc123982173) to be either an individual data frame or array. Since the actual dataset is thousands of rows long, splitting into a temporary array in a loop was my original thought.

Any help would be appreciated.

Answer 1

you can get a subset of your dataframe.

Using your dataframe as example,

subset_dataframe = dataframe[dataframe["Account_ID"] == "ab123982173"]

Here is a link from the pandas documentation that has visual examples: https://pandas.pydata.org/docs/getting_started/intro_tutorials/03_subset_data.html