Tag Archive
amateur astronomy awk bash b[e] supergiant cartoon conference convert evolved star exoplanet fedora figaro fits fun galaxy iraf large magellanic cloud latex linux lmc machine learning magellanic clouds massive star matplotlib meteor mypaper paper peblo photometry planet pro-am pyraf python red supergiant scisoft skinakas observatory small magellanic cloud smc spectroscopy starlink talk ubuntu university of crete video x-ray yellow hypergiant
Reading columns from a text file – fast and easy!
Although the are many information on how to use the genfromtxt (from numpy) there is not a clear demonstration (that I found…) to show how to easily read a text file with columns of data (including strings – it is straightforward to read columns of numbers with loadtxt for example).
Suppose that we have the following text file (named ‘input.txt’):
#object q1 q2 id-001 120. 2212. id-002 145. 1222. id-222 123. 1142.
Then we can just use:
g = genfromtxt('input.txt',dtype=None,names=True)
This will read all the file. dtype=None means that the command will decide what type of data is each element and name=True means that we can use the names from the first raw (header) to call each column, i.e.:
print g['object']
print g['q2']
will print:
['id-001' 'id-002' 'id-222']
[ 2212. 1222. 1142.]
That easy, that fast !
