Generate production-ready pandas code from any SQL query. Includes visualizations with matplotlib and seaborn.
Run your analysis in AI Analyst, then export as clean Python code with proper imports, comments, and visualizations. Perfect for Jupyter notebooks, scripts, or integrating into your data pipeline.
Ask a question or write SQL. AI Analyst generates the query and results.
Click the Code tab and select Python. AI generates equivalent pandas code.
Copy production-ready code into Jupyter, VS Code, or your pipeline.
import pandas as pd df = pd.read_csv('data.csv') result = df.groupby('region')['revenue'].sum().sort_values(ascending=False)
import matplotlib.pyplot as plt df.plot(kind='bar', x='category', y='total_sales') plt.title('Sales by Category')
df = df.dropna(subset=['email']) df['date'] = pd.to_datetime(df['date'])
df.describe() df.corr()
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