Getting Started with Pandas in Python

Pandas is a popular data manipulation and analysis library in Python. It offers data structures and functions needed to work with structured data seamlessly.

Installing Pandas

Install Pandas using pip:

pip install pandas

Importing Pandas

Import the library into your script:

import pandas as pd

Creating DataFrames

Create a DataFrame from a dictionary:

data = {
    'Name': ['Alice', 'Bob', 'Charlie'],
    'Age': [25, 30, 35]
}
df = pd.DataFrame(data)
print(df)

Reading Data from a File

Read data from a CSV file:

df = pd.read_csv('data.csv')

Data Exploration

Get a summary of your data:

print(df.head())
print(df.describe())

Data Manipulation

Filter data based on a condition:

filtered_df = df[df['Age'] > 28]

Conclusion

Pandas is an essential tool for data scientists and analysts working in Python. It simplifies the process of data manipulation, allowing you to focus on extracting insights.