How can I group digital currencies using the pandas library?

Kshitiz ChaturvediMar 26, 2022 · 3 years ago1 answers

I'm trying to group digital currencies based on certain criteria using the pandas library in Python. Can anyone provide me with a step-by-step guide on how to achieve this? I want to be able to group the currencies based on their market cap, trading volume, and price. Any help would be greatly appreciated!

Digital Currencies

Pandas Library

Grouping

1 answers

Mar 26, 2022 · 3 years ago
Sure thing! Here's how you can group digital currencies using the pandas library: 1. Import the pandas library in your Python script. 2. Load your digital currency data into a pandas DataFrame. 3. Use the 'groupby' function to group the currencies based on the criteria you want (market cap, trading volume, price). 4. Apply any aggregation function (such as sum, mean, max) to the grouped data to get the desired results. 5. Done! You have successfully grouped the digital currencies using the pandas library. If you have any more questions, feel free to ask!