[python] Extract elements of list at odd positions

You can make use of bitwise AND operator &. Let's see below:

x = [1, 2, 3, 4, 5, 6, 7]
y = [i for i in x if i&1]
>>> 
[1, 3, 5, 7]

Bitwise AND operator is used with 1, and the reason it works because, odd number when written in binary must have its first digit as 1. Let's check

23 = 1 * (2**4) + 0 * (2**3) + 1 * (2**2) + 1 * (2**1) + 1 * (2**0) = 10111
14 = 1 * (2**3) + 1 * (2**2) + 1 * (2**1) + 0 * (2**0) = 1110

AND operation with 1 will only return 1 (1 in binary will also have last digit 1), iff the value is odd.

Check the Python Bitwise Operator page for more.

P.S: You can tactically use this method if you want to select odd and even columns in a dataframe. Let's say x and y coordinates of facial key-points are given as columns x1, y1, x2, etc... To normalize the x and y coordinates with width and height values of each image you can simply perform

for i in range(df.shape[1]):
    if i&1:
        df.iloc[:, i] /= heights
    else:
        df.iloc[:, i] /= widths

This is not exactly related to the question but for data scientists and computer vision engineers this method could be useful.

Cheers!

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