Recursive query in pandas dataframe python

recursive query in pandas dataframe is a technique to perform a repeated operation on a dataframe until a certain condition is met. this can be achieved using a recursive function that calls itself on a subset of the dataframe each time.

here's a step-by-step tutorial on how to implement a recursive query in pandas dataframe in python:

1. define a recursive function: create a function that performs the operation you want to repeat on the dataframe. this function should call itself recursively on a subset of the dataframe until a stopping condition is met.

2. apply the function on the dataframe: use the `apply` method in pandas to apply the recursive function on the dataframe.

3. define the stopping condition: make sure to include a condition in the recursive function that stops the recursion when the desired criteria are met.

4. example code:

in this example, the recursive function `recursive_query` multiplies the 'value' column by 2 until it reaches 50. the function calls itself recursively on each row until the stopping condition is met.

when you run this code, you will see the updated dataframe where the 'value' column has been multiplied by 2 recursively until it reaches 50.

remember to be cautious when using recursive queries on large dataframes as it can lead to performance issues.

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