Binning Data

Convert continuous values into discrete categories using cut() and qcut().

Basic Binning with cut()

Divide values into fixed-width bins:

Custom Bin Edges

Specify exact boundaries:

Quantile-Based Binning with qcut()

Create bins with equal number of observations:

Without Labels

Get the actual bin ranges:

Include Edge Values

Control which edge is included:

Binning for Visualization

Prepare data for histograms:

Exercise: Grade Bins

Exercise: Quartile Split

Key Points

• pd.cut() creates equal-width bins
• pd.qcut() creates equal-frequency bins
• bins= defines boundaries or number of bins
• labels= assigns names to bins
• right=False includes left edge instead
• Useful for grading, grouping, visualization