Web Reference: Boolean Indexing allows us to create a filtered subset of an array by passing a boolean mask as an index. The boolean mask selects only those elements in the array that have a True value at the corresponding index position. Jul 11, 2025 · In boolean indexing, we will select subsets of data based on the actual values of the data in the DataFrame and not on their row/column labels or integer locations. In NumPy, Boolean masking is often the most efficient way to accomplish these types of tasks. Imagine you have a series of data that represents the amount of precipitation each day for a year in a given city.
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