What are data frames in Python and how do I use them?

What are data frames in Python and how do I use them?

Data frames are two-dimensional, size-mutable, potentially heterogeneous tabular data structures in Python, primarily used with the pandas library. They allow you to store and manipulate data in a structured way.

Can you show me how to create a data frame?

Sure! You can create a data frame using the pandas library like this:

import pandas as pd

data = {'Column1': [1, 2, 3], 'Column2': ['A', 'B', 'C']}

df = pd.DataFrame(data)
print(df)

What are some common operations I can perform on data frames?

You can perform various operations such as filtering, grouping, merging, and aggregating data. For example, you can filter rows based on a condition using df[df['Column1'] > 1].

How do I handle missing values in a data frame?

You can handle missing values using methods like dropna() to remove them or fillna() to replace them with a specific value or the mean of the column.