numpy.loadtxt vs. numpy.genfromtxt

 

numpy.loadtxt: Load data from a text file. Each row in the text file must have the same number of values.

numpy.loadtxt(fname, dtype=<type 'float'>, comments='#', delimiter=None, converters=None, skiprows=0, usecols=None, unpack=False, ndmin=0)

 

numpy.genfromtxt: Load data with missing values handled as specified.

numpy.genfromtxt(fname, dtype=<type 'float'>, comments='#', delimiter=None, skiprows=0, skip_header=0, skip_footer=0, converters=None, missing='', missing_values=None, filling_values=None, usecols=None, names=None, excludelist=None, deletechars=None, replace_space='_', autostrip=False, case_sensitive=True, defaultfmt='f%i', unpack=None, usemask=False, loose=True, invalid_raise=True)

 

[References]

http://docs.scipy.org/doc/numpy/reference/generated/numpy.loadtxt.html#numpy.loadtxt

http://docs.scipy.org/doc/numpy/reference/generated/numpy.genfromtxt.html