The following code can find the unique rows in the NumPy array. If you want to learn Python, I highly recommend reading This Book.
In this example, there are 5 rows in the array. 2nd and 3rd rows are duplicates of the 1st row. It will be removed from the array when we find unique rows.
# Import the NumPy library
import numpy as np
# Make a NumPy array
a = np.array([[1, 2, 3, 4, 5],
[1, 2, 3, 4, 5],
[1, 2, 3, 4, 5],
[2, 4, 6, 8, 10],
[3, 4, 5, 6, 7]])
# Find the unique rows
unique_rows = np.unique(a, axis=0)
# Display the unique rows
print(unique_rows)Output:
[[ 1 2 3 4 5] [ 2 4 6 8 10] [ 3 4 5 6 7]]
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