Example

Example#

Example: Titanic Survival Analysis#

This example demonstrates how SmartRun automatically installs required packages from inline comments in standard Python or Jupyter files.

SmartRun parses the following comment for dependencies:

# smartrun: pandas>=2.0 seaborn>=0.11 matplotlib>=3.5

Source Code#

# smartrun: pandas>=2.0 seaborn>=0.11 matplotlib>=3.5

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

# Load dataset from GitHub
url = "https://raw.githubusercontent.com/datasciencedojo/datasets/master/titanic.csv"
df = pd.read_csv(url)

# Basic stats
print(df[["Survived", "Pclass", "Sex"]].groupby(["Pclass", "Sex"]).mean())

# Plot survival by class
sns.countplot(data=df, x="Pclass", hue="Survived")
plt.title("Survival Count by Passenger Class")
output_path = "titanic_survival_by_class.png"
plt.savefig(output_path)

print(f"✅ Saved plot → {output_path}")

How to Run#

Use SmartRun with any .py or .ipynb file containing inline requirements:

smartrun titanic.py

Or generate HTML output from a notebook:

smartrun --html analysis.ipynb

What It Does#

  • ✅ Installs pandas, seaborn, and matplotlib automatically (if missing)

  • 📊 Prints survival statistics by passenger class and gender

  • 🖼️ Saves a plot as titanic_survival_by_class.png

Tip: You can also exclude or override packages with –exc or –inc.

smartrun titanic.py --exc seaborn
smartrun titanic.py --inc openpyxl
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