Each element of the first object is compared with the corresponding element of the second object. The result of comparison is a Boolean value.

Let's understand these operators with the help of an example. Let's create two NumPy arrays containing returns from two stocks over the past five days.

>>> import numpy as np
>>> stock_A = np.array([10, 8, 9, 11, 12])
>>> stock_B = np.array([8, 11, 10, 10, 12])
>>> stock_A
array([10,  8,  9, 11, 12])
>>> stock_B
array([ 8, 11, 10, 10, 12])
>>>

Greater Than (>)

The greater than (>) symbol checks if each element of the first object is greater than the corresponding element of the second object. The result will be an object with logical values (TRUE or FALSE) depending on whether the condition is true or not.

In the following code, we compare if Stock A's returns are higher than Stock B's returns

>>> stock_A > stock_B
array([ True, False, False,  True, False], dtype=bool)
>>>

As you can see, Stock A's returns were higher than Stock B on day 1 (10 > 8) and day 4 (11 > 10). So, for these days, the resulting array contains TRUE, while for the rest of the days, it is FALSE. Specially observe the last day where the returns were same for both the stocks (12 and 12). Since the condition was exclusively checking for returns being greater, the condition is FALSE here.