denss.fit_data.py was returning a string to float conversion error for .dat files containing a header before and after the numerical values.
$ denss.fit_data.py -f S_A_02492_A1_MerB3_063_c.dat
/home/sbio/norm/softwares/denss/venv/local/lib/python2.7/site-packages/saxstats/saxstats.pyc
Traceback (most recent call last):
File "/home/sbio/norm/softwares/denss/venv/bin/denss.fit_data.py", line 73, in <module>
Iq = np.loadtxt(args.file)
File "/home/sbio/norm/softwares/denss/venv/local/lib/python2.7/site-packages/numpy/lib/npyio.py", line 1134, in loadtxt
for x in read_data(_loadtxt_chunksize):
File "/home/sbio/norm/softwares/denss/venv/local/lib/python2.7/site-packages/numpy/lib/npyio.py", line 1061, in read_data
items = [conv(val) for (conv, val) in zip(converters, vals)]
File "/home/sbio/norm/softwares/denss/venv/local/lib/python2.7/site-packages/numpy/lib/npyio.py", line 768, in floatconv
return float(x)
ValueError: could not convert string to float: Q
These headers are found in .dat files generated by RAW (using v.1.5.1 in my case) where column names are specified above the data, and additional information is provided after the data with respect to analysis performed in RAW.
Using numpy.genfromtxt instead of numpy.loadtxt solved the problem. NaN values were however created and needed some extra code to remove them.
denss.fit_data.py was returning a string to float conversion error for .dat files containing a header before and after the numerical values.
These headers are found in .dat files generated by RAW (using v.1.5.1 in my case) where column names are specified above the data, and additional information is provided after the data with respect to analysis performed in RAW.
Using
numpy.genfromtxt
instead ofnumpy.loadtxt
solved the problem.NaN
values were however created and needed some extra code to remove them.