Hi,
I was trying to use loadtxt() today to read in some text data, and I had a problem when I specified a dtype that only contained as many elements as in columns in usecols. The example below shows the problem:
import numpy as np import StringIO data = '''STID RELH TAIR JOE 70.1 25.3 BOB 60.5 27.9 ''' f = StringIO.StringIO(data) names = ['stid', 'temp'] dtypes = ['S4', 'f8'] arr = np.loadtxt(f, usecols=(0,2),dtype=zip(names,dtypes), skiprows=1)
With current 1.1 (and SVN head), this yields:
IndexError Traceback (most recent call last)
/home/rmay/<ipython console> in <module>()
/usr/lib64/python2.5/site-packages/numpy/lib/io.pyc in loadtxt(fname, dtype, comments, delimiter, converters, skiprows, usecols, unpack) 309 for j in xrange(len(vals))] 310 if usecols is not None: --> 311 row = [converterseq[j](vals[j]) for j in usecols] 312 else: 313 row = [converterseq[j](val) for j,val in enumerate(vals)]
IndexError: list index out of range ------------------------------------------
I've added a patch that checks for usecols, and if present, correctly creates the converters dictionary to map each specified column with converter for the corresponding field in the dtype. With the attached patch, this works fine:
arr
array([('JOE', 25.300000000000001), ('BOB', 27.899999999999999)], dtype=[('stid', '|S4'), ('temp', '<f8')])
Comments? Can I get this in for 1.1.1?
Thanks,
Ryan