Numpy vs regular array in python

Question

This might be a beginner question but

when I run this code

[[0.] for i in range(num_features)]

I get [[0.],[0.]]

When I run this code

np.zeros((2, 1))

I get

[[0.],

 [0.]]

As in two separate lines

Is there a significant difference between the two? If so, what's the right way to write the first bit of code?

Check this out -> webcourses.ucf.edu/courses/1249560/pages/… — taurus05
– taurus05, Commented Feb 7, 2019 at 6:25

U13-Forward · Accepted Answer · 2019-02-07 06:28:15Z

1

First list is a regular list comprehension, second is a numpy array, it is TOTALLY different, here is the numpy documentation:

So actually second one could be a list like the first one:

>>> np.zeros((2, 1)).tolist()
[[0.0], [0.0]]
>>>

answered Feb 7, 2019 at 6:28

U13-Forward

71.8k15 gold badges100 silver badges125 bronze badges

Sign up to request clarification or add additional context in comments.

1 Answer 1