What is df? | LabEx

In programming, particularly in Python with the pandas library, df typically refers to a DataFrame. A DataFrame is a two-dimensional, size-mutable, and potentially heterogeneous tabular data structure with labeled axes (rows and columns). It is similar to a spreadsheet or SQL table.

Here's a brief overview:

Creation: You can create a DataFrame from various data sources like lists, dictionaries, or CSV files.
Usage: DataFrames are used for data manipulation and analysis, allowing operations like filtering, grouping, and aggregating data.

Example of creating a DataFrame:

import pandas as pd

data = {
    'Name': ['Alice', 'Bob', 'Charlie'],
    'Age': [25, 30, 35],
    'City': ['New York', 'Los Angeles', 'Chicago']
}

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

This will output:

      Name  Age         City
0    Alice   25     New York
1      Bob   30  Los Angeles
2  Charlie   35      Chicago

If you have a specific aspect of DataFrames you'd like to know more about, feel free to ask!