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- numpy. where () in Python - GeeksforGeeks
np where ( ) with a single argument returns a tuple containing the indices of True entries The returned value (array ( [3, 4]),) indicates elements at positions 3 and 4 satisfy the condition
- How to Use Conditional Expressions With NumPy where () - Real Python
You would typically use np where() when you have an array and need to analyze its elements differently depending on their values For example, you might need to replace negative numbers with zeros or replace missing values such as None or np nan with something more meaningful
- NumPy where () - Programiz
To learn about it, visit np where () with a single argument section below The where() method returns a new NumPy array Output We can also use numpy where() to perform operations on array elements # test condition Output We can use array_like objects (such as lists, arrays etc ) as a condition in the where() method Output [-3 -4]] [-3 4]]
- How does python numpy. where() work? - Stack Overflow
np where returns a tuple of length equal to the dimension of the numpy ndarray on which it is called (in other words ndim) and each item of tuple is a numpy ndarray of indices of all those values in the initial ndarray for which the condition is True
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