How to include two conditions using np.where, when array two columns?

Question

I've seen questions adjacent to this answered a number of times, but I'm really, really new to Python, and can't seem to get those answers to work for me...

I'm trying to access every row in an np array, where both columns have values greater than 1.

So, if x is my original array, and x has 500 rows and 2 columns, I want to know which rows, of those 500, contain 2 values > 1.

I've tried a bunch of solutions, but the following two seem the closest:

Test1 = x[(x[:,0:1] > 1) & (x[:,1:2] > 1)]
# Where the first condition should look for values greater than 1 in the first column, and the second condition should look for values greater than 1 in the second column.

Test2 = np.where(x[:,0:1] > 1 & x[:,1:2] > 1)

Any help would be greatly appreciated! Thanks so much!