# How to convert an array of strings to an array of floats in numpy?

How to convert

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

to

```[1.1, 2.2, 3.2]
```

in NumPy?

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)
```

You can use this as well

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

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.

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'>
```