I have a sample numpy array read from a file like this:

```
import numpy as np
data = np.array([(b'M', 119.,  76.), (b'M', 114.,  73.), (b'F', 124.,  79.)],
dtype=[('gender', 'S1'), ('bps', '<f8'), ('bpd', '<f8')])

```

How to get the first column called `gender`?

I tried:

```
gender = data[:,0] # fails
gender = [i[0] for i in data] # pass

```

**Is there easier way to get the first column without list comprehension?**

**Can we unpack 3 columns like g,b,p=\*data?**