Key Features
Python Execution
Run Python code directly in chat for math, logic, and scripting tasks.
Data Analysis
Upload CSVs, Excel files, and datasets for cleaning, transformation, and insights.
Visualization
Generate charts, plots, and graphs using Matplotlib, Seaborn, and Plotly.
File Workflows
Extract, summarize, and manipulate content from PDFs, images, and text files.
Math & Stats
Solve equations, run regressions, and perform statistical modeling.
How It Works
Open ChatGPT
Use ChatGPT with Code Interpreter enabled (available in Pro plans).
Upload File or Ask a Question
Drag and drop a file or describe your data task in natural language.
Run Python Code
The model writes and executes Python code to solve your problem.
Review Output
View results, charts, summaries, or transformed data instantly.
Iterate & Refine
Ask follow-ups or modify the workflow interactively.
Code Example
# Example: Load and summarize a CSV file
import pandas as pd
df = pd.read_csv("sales_data.csv")
summary = df.describe()
print(summary)Use Cases
Exploratory Data Analysis
Quickly summarize, visualize, and clean datasets.
Business Intelligence
Generate insights from sales, finance, or operations data.
Academic Research
Analyze survey results, experimental data, or statistical models.
File Parsing
Extract structured content from PDFs, images, and logs.
Math & Modeling
Solve equations, simulate systems, and run regressions.
Integrations & Resources
Explore ChatGPT Code Interpreter’s ecosystem and find the tools, platforms, and docs to accelerate your workflow.
Popular Integrations
- CSV, Excel, JSON, PDF, TXT file support
- Matplotlib, Seaborn, Plotly for visualization
- NumPy, Pandas, SciPy for computation
- Regex and NLP for text parsing
- Image analysis with PIL and OpenCV
Helpful Resources
FAQ
Common questions about ChatGPT Code Interpreter’s capabilities, usage, and ecosystem.