Languages
pandas Cheat Sheet
Print-ready cheat sheet for pandas, organized for fast lookup, study, and desk-side use
Sample
What's in this cheat sheet
- DataFrames
- Reading Data
- Selection
- Filtering
- Aggregation
- GroupBy
- Merging
- Pivot Tables
- Time Series
- Common Patterns
Creating DataFrames
import pandas as pd
df = pd.DataFrame({
"name": ["Alice", "Bob", "Carol"],
"age": [25, 30, 35],
"score": [88, 92, 79]
})
Inspection
df.head(n) | First n rows (default 5) |
df.tail(n) | Last n rows |
df.shape | Tuple of (rows, columns) |
df.dtypes | Data type of each column |
df.info() | Column types, non-null counts |
df.describe() | Statistics for numeric columns |
df.columns | Column names as Index |
df.index | Row labels |
Download the full cheat sheet for all sections, formatted for print
Download PDFDownloads
Choose the treatment that matches how you read
-
Recommended
Standard
B&W, ink-efficient. The default for laser printers and photocopies
Best for Printouts and desk-side reference
-
Color
Warm color accents for on-screen reading or color printers
Best for Screen reading or color printers
-
Reference Card
Maximum density, 4-column layout. Everything on one page
Best for Fast scanning and minimum paper use