What is Vaex DataFrame and how can I use it?

What is Vaex DataFrame and how does it differ from Pandas?

Vaex DataFrame is a library for lazy loading and out-of-core DataFrames, allowing you to handle large datasets efficiently. Unlike Pandas, which loads data into memory, Vaex processes data on disk, making it faster for big data.

Can you show me an example of how to create a Vaex DataFrame?

Sure! You can create a Vaex DataFrame from a CSV file like this:

import vaex
df = vaex.from_csv('your_file.csv')

What operations can I perform on a Vaex DataFrame?

You can perform various operations like filtering, grouping, and aggregating data. For example, to filter rows, you can use:

df_filtered = df[df['column_name'] > value]

Is Vaex suitable for machine learning tasks?

Yes, Vaex is great for preprocessing large datasets for machine learning. You can use it to clean, filter, and transform data before feeding it into your ML models.