This content originally appeared on DEV Community and was authored by Djouldé BARRY
Pandas Mindmap: A Visual Guide to DataFrame Manipulation
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.
This content originally appeared on DEV Community and was authored by Djouldé BARRY
Djouldé BARRY | Sciencx (2025-03-17T15:19:00+00:00) Pandas Mindmap: A Visual Guide to DataFrame Manipulation. Retrieved from https://www.scien.cx/2025/03/17/pandas-mindmap-a-visual-guide-to-dataframe-manipulation/
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