Possible regression with numpy 1.14.0 and recfromcsv #10394
Description
Hello,
I couldn't find this on a quick glance, but there may be a small regression on numpy 1.14.0 with the recfromcsv function.
Numpy 1.13.0. I'm running on python 2.7.... (not sure if same problem exists on python 3.)
import numpy as np
from StringIO import StringIO
csv = """
id,low,age,lwt,race,smoke,ptl,ht,ui,ftv,bwt
85,0,19,182,"black",0,0,0,1,0,2523
86,0,33,155,"other",0,0,0,0,3,2551
87,0,20,105,"white",1,0,0,0,1,2557
"""
np.recfromcsv(StringIO(csv), converters={4: lambda x: x.strip('\"')})Gives this:
rec.array([(85, 0, 19, 182, 'black', 0, 0, 0, 1, 0, 2523),
(86, 0, 33, 155, 'other', 0, 0, 0, 0, 3, 2551),
(87, 0, 20, 105, 'white', 1, 0, 0, 0, 1, 2557)],
dtype=[('id', '<i8'), ('low', '<i8'), ('age', '<i8'), ('lwt', '<i8'), ('race', 'S5'), ('smoke', '<i8'), ('ptl', '<i8'), ('ht', '<i8'), ('ui', '<i8'), ('ftv', '<i8'), ('bwt', '<i8')])When you upgrade to 1.14.0, notice the race column becomes blank.
rec.array([(85, 0, 19, 182, '', 0, 0, 0, 1, 0, 2523),
(86, 0, 33, 155, '', 0, 0, 0, 0, 3, 2551),
(87, 0, 20, 105, '', 1, 0, 0, 0, 1, 2557)],
dtype=[('id', '<i8'), ('low', '<i8'), ('age', '<i8'), ('lwt', '<i8'), ('race', 'S'), ('smoke', '<i8'), ('ptl', '<i8'), ('ht', '<i8'), ('ui', '<i8'), ('ftv', '<i8'), ('bwt', '<i8')])xref statsmodels/statsmodels#4205
Thanks.