How to convert an array of strings to an array of floats in numpy?
numpy, python, type-conversion
Solution
Well, if you're reading the data in as a list, just do `np.array(map(float, list_of_strings))` (or equivalently, use a list comprehension). (In Python 3, you'll need to call `list` on the `map` return value if you use `map`, since `map` returns an iterator now.)
However, if it's already a numpy array of strings, there's a better way. Use `astype()`.
import numpy as np
x = np.array(['1.1', '2.2', '3.3'])
y = x.astype(np.float)
Problem
How do I make the following conversion in NumPy? ``` ["1.1", "2.2", "3.2"] ⟶ [1.1, 2.2, 3.2] ```