Code Lab
🏠 Home
⚡ Code Lab
🧠 ML Studio
🔧 ML Tools
📚 LMS ↗
🌙
☰
🗄️ Pandas
Theme: Dracula
Material Dark
Nord
Default
Auto-run on Ctrl+Enter
🗑 Clear
📋 Copy
🔗 Share
▶ Run
# Pandas — data analysis import pandas as pd import numpy as np # Create DataFrame np.random.seed(42) df = pd.DataFrame({ "Student": [f"Student_{i}" for i in range(1, 11)], "Math": np.random.randint(60, 100, 10), "Science": np.random.randint(55, 100, 10), "English": np.random.randint(65, 100, 10), }) df["Average"] = df[["Math","Science","English"]].mean(axis=1).round(2) df["Grade"] = pd.cut(df["Average"], bins=[0,70,80,90,100], labels=["C","B","A","A+"]) print("=== Student Report ===") print(df.to_string(index=False)) print("\nClass Summary:") print(df[["Math","Science","English","Average"]].describe().round(2)) print("\nGrade Distribution:") print(df["Grade"].value_counts().sort_index())
OUTPUT
Ready
✕ Clear
▶ Press Run or Ctrl+Enter to execute your code.
✕
🏠 Home
⚡ Code Lab
🧠 ML Studio
🔧 ML Tools
