Python | Numpy MaskedArray.__irshift__()

Python | Numpy MaskedArray.__irshift__()

The __irshift__() method is an in-place right shift operation for objects that support it. In the context of NumPy's MaskedArray, this method provides an element-wise right shift operation for masked arrays and updates the original array in place.

To break it down:

  • __irshift__() corresponds to the >>= operation.
  • It modifies the original array (self) by shifting its elements to the right by the specified bits.

Here's a basic example of using the in-place right shift with NumPy's MaskedArray:

import numpy as np # Create a simple masked array data = np.array([8, 16, 32, 64]) mask = [False, True, False, False] masked_array = np.ma.MaskedArray(data, mask=mask) print("Original MaskedArray:") print(masked_array) # In-place right shift by 1 bit masked_array.__irshift__(1) print("\nMaskedArray after right shift by 1 bit:") print(masked_array)

In the example above, the values in the masked_array will be shifted to the right by 1 bit, except for the masked (or invalid) elements. The resulting values are effectively divided by 2 (since a right shift by 1 bit is equivalent to division by 2 for integers).

It's worth noting that while the __irshift__() method can be called directly as demonstrated, it's more conventional to use the >>= operator:

masked_array >>= 1

However, whether you use the method or the operator, the underlying functionality remains the same.

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