Pandas is a powerful Python library that provides high-performance, easy-to-use data structures and data analysis tools. It is one of the most popular libraries for data analysis and manipulation in Python.

Key Features

  • DataFrames: A two-dimensional table with labeled axes (rows and columns).
  • Time Series: Easy handling of time series data.
  • Data Loading: Ability to read data from various file formats such as CSV, Excel, SQL, and more.
  • Data Manipulation: Functions to manipulate and transform data.

Getting Started

To install Pandas, you can use pip:

pip install pandas

Example Usage

Here's a simple example of how to create a DataFrame and perform some basic operations:

import pandas as pd

# Create a DataFrame
data = {'Name': ['Tom', 'Nick', 'John', 'Alice'],
        'Age': [20, 21, 19, 18],
        'City': ['New York', 'London', 'Paris', 'Berlin']}

df = pd.DataFrame(data)

# Display the DataFrame
print(df)

This will output:

     Name  Age     City
0    Tom   20  New York
1   Nick   21    London
2   John   19     Paris
3  Alice   18     Berlin

Further Reading

For more information and examples, you can refer to the official Pandas documentation.

Pandas DataFrame