How To Remove Nan (float) Item(s) From A List Of Mixed Data Types In Python

I have a list with mixed data types: Z = ['a','b', float('NaN'), 'd'] I would like to remove the nan observations. I tried the following based on a couple of multiple suggestions

Solution 1:

A nice hack is do Z = [x for x in Z if x == x] This works since NaN is not equal to itself.

Solution 2:

you can use numpy

import numpy as np 

arr = np.array([0, 1, 2, 4, np.nan, 8, 3, np.nan, 6])
print(arr)
>>>[ 0.  1.  2.  4. nan  8.  3. nan  6.]

arr = arr[np.where(~np.isnan(arr))]
print(arr)
>>>[0. 1. 2. 4. 8. 3. 6.]

Solution 3:

Use math.isnan to check for NaNs, like this:

Z = [x for x in Z if not math.isnan(x)]