Pandas is an essential library for data manipulation and analysis in Python.
This mindmap provides a structured visual approach to quickly grasp Pandas' core functionalities.
Why a Pandas Mindmap?
With so many available methods and transformations, it can be overwhelming to memorize everything.
A visual mindmap helps to:
- Easily recall essential commands.
- Navigate the API without repeatedly checking documentation.
- Improve efficiency when working with DataFrames.
Pandas Mindmap: The Ultimate Cheat Sheet!
The mindmap covers the fundamental operations on DataFrames:
- Creating & Importing Data
- Exploring & Manipulating
- Cleaning & Transforming
- Merging & Aggregating
- Exporting Results
Essential Pandas Commands
Here are some key operations for handling data efficiently:
Load a CSV file
import pandas as pd
df = pd.read_csv("data.csv")
# Preview first rows
print(df.head())
# Filtering data
df_filtered = df[df["column"] > 50]
# Quick statistics
df.describe()
# Merge two DataFrames
df_merge = df1.merge(df2, on="id", how="left")
Source
This article is inspired by the original Pandas Mindmap created by Yao Yao.
All credits for the original visualization go to the author.
Top comments (0)