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I have a dtype object e:

>>> e

dtype([('cards', 'O'), ('store', 'O'), ('march', 'O'),
     ('fam', 'O'), ('cup', 'O'), ('sex', 'O'), ('educ', 'O'),  
     ('age', 'O'), ('handedness', 'O')])

I want to make this into an array of strings: 

np.array(['cards','store','march','fam','cup','sex','educ','age','handedness'])

Is there a way to convert this object into an array as shown?

I have tried the suggestions here:

How to convert a Numpy 2D array with object dtype to a regular 2D array of floats

but I get the error: 

ValueError                                Traceback (most recent call last)
<ipython-input-160-dc37d6f17f2f> in <module>()
----> 1 np.array(list(e[:, 1]), dtype=str)

ValueError: Field key must be an integer, string, or unicode.
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1 Answer 1

Reset to default
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np.array(e.names)

The names attribute of a dtype object is a tuple of its field names, or None if it doesn't have fields.

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