Da Numpy Where — Free Data Analytics Tutorial
Learn Da Numpy Where in Data Analytics with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
TL;DR: Learn Da Numpy Where in Data Analytics with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
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Da Numpy Where in Data Analytics
np.where() applies conditional logic to arrays: returns different values based on condition.
Syntax: np.where(condition, value_if_true, value_if_false)
Works element-wise on entire arrays (vectorized, no loops needed).
Can be nested for multiple conditions.
Much faster than looping with if-else statements.
Da Numpy Where — Syntax
# Simple: np.where(arr > 5, 'high', 'low') # Nested: np.where(arr > 5, np.where(arr > 8, 'very_high', 'medium'), 'low')
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