NumPy ndarray.__eq__() Method | Compare Array Values to Specific Value
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The ndarray.__eq__() method of Numpy compares the values in ndarray to a specific value. It is useful to find which value in ndarray is equal to the given value.
It will return you a NumPy array with a boolean type having only values True and False.
Example
Python3
# import the important module in python import numpy as np # make an array with numpy gfg = np.array([1, 2, 3, 4, 5, 6]) # applying numpy.__eq__() method print(gfg.__eq__(4)) |
Output
[False False False True False False]
Syntax
Syntax: ndarray.__eq__($self, value, /)
Parameter
- self: The array on which the method is called.
- value: The value or array to compare with.
Return: New array with boolean values
How to Perform Element-wise Comparison in NumPy Array
Using __eq__() method of NumPy library we can compare two ndarray or compare a ndarray to a specific value.
Let us understand it better with an example:
Example
In this example, we can see that after applying numpy.__eq__(), we get the simple boolean array that can tell us which element in an array is equal to that of the provided parameter.
Python3
# import the important module in python import numpy as np # make an array with numpy gfg = np.array([[1, 2, 3, 4, 5, 6], [6, 5, 4, 3, 2, 1]]) # applying numpy.__eq__() method print(gfg.__eq__(4)) |
Output
[[False False False True False False] [False False True False False False]]
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