如何将字符串数组转换为 numpy 中的浮点数数组？

Question

How to convert

["1.1", "2.2", "3.2"]

to

[1.1, 2.2, 3.2]

in NumPy?

Answer 1

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)

Answer 2

You can use this as well

import numpy as np
x=np.array(['1.1', '2.2', '3.3'])
x=np.asfarray(x,float)

Answer 3

If you have (or create) a single string, you can use np.fromstring :

import numpy as np
x = ["1.1", "2.2", "3.2"]
x = ','.join(x)
x = np.fromstring( x, dtype=np.float, sep=',' )

Note, x = ','.join(x) transforms the x array to string '1.1, 2.2, 3.2' . If you read a line from a txt file, each line will be already a string.

Answer 4

Another option might be numpy.asarray :

import numpy as np
a = ["1.1", "2.2", "3.2"]
b = np.asarray(a, dtype=np.float64, order='C')

For Python 2*:

print a, type(a), type(a[0])
print b, type(b), type(b[0])

resulting in:

['1.1', '2.2', '3.2'] <type 'list'> <type 'str'>
[1.1 2.2 3.2] <type 'numpy.ndarray'> <type 'numpy.float64'>

Answer 5

You can use np.array() with dtype = float :

import numpy as np

x = ["1.1", "2.2", "3.2"]
y = np.array(x,dtype=float)

Output:

array([1.1, 2.2, 3.2])