How to Assign List Type to Dynamic Variables in Python Loops

Learn how to dynamically assign list types to variables in Python loops for effective data handling and management of indicators.
---

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Assigning type of a dynamically generate variable to a list in a loop

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
How to Assign List Type to Dynamic Variables in Python Loops

When working with stock data and technical indicators in Python, you may find the need to generate a series of values dynamically. This often leads to the question: How do I assign a type of dynamically generated variable to a list in a loop?

In this guide, we’ll explore a common scenario where you have a list of indicators, and you want to create a corresponding dictionary where each indicator has an associated list to hold its series values. Let’s break down how to achieve this step by step.

Understanding the Problem

You have a list of technical indicators, say indicator_list = [ema10, ema20, ...], and you want to create a dictionary called indicator_ser_dict. In this dictionary:

Each indicator needs to correspond to a unique key.

Each key should point to a list that will store the series values for that indicator.

The challenge here is to ensure that the series variables (indicator_ser_list) are treated as lists, and not just plain strings.

The Solution

There are a couple of effective ways to achieve the desired output using Python. Let’s dive into each approach.

Method 1: Dynamic Variable Assignment Using Strings

In this method, we will create a key for the series variable and assign it an empty list initially.

[[See Video to Reveal this Text or Code Snippet]]

Example Usage:

If your indicator_list looks like this:

[[See Video to Reveal this Text or Code Snippet]]

The resulting indicator_ser_dict will be structured as follows:

[[See Video to Reveal this Text or Code Snippet]]

Method 2: Directly Declaring the Lists

This alternative approach takes a more straightforward route by directly assigning an empty list to each indicator in the dictionary without creating string variables.

[[See Video to Reveal this Text or Code Snippet]]

Example Output:

With the same input list:

[[See Video to Reveal this Text or Code Snippet]]

The output dictionary will look much cleaner:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

Creating a well-structured dictionary with dynamic lists in Python can streamline your data management, especially when dealing with financial indicators. By following one of the two methods outlined above, you can effectively generate and assign list types to dynamic variables within loops.

Feel free to choose the approach that best suits your coding style. Happy coding!