CODEWITHSUNDEEP
pythonarraysfilenumpydelimiter
Fei
Fei

Reputation: 1

Read txt file of this type in as a Python numpy.ndarray

I'd like to perform some dimension-reduction (DR) methods such as PCA, ICA and tSNE, maybe LEM on the a data set data.txt to compare the methods.

Therefore, I need to read in the data as a numpy.ndarray. Every line corresponds to a row in the matrix, with delimiter = ' '.

Alternatively, I have the file as a numpy.array now but as a string:

[ '16.72083152\t12.91868366\t14.37818919\n' ... '16.9504402\t7.81951173\t12.81342726']

How can I convert this quickly into a numpy.array of the desired format: n x 3, delimiter for rows = ' ', delimiter between elements in each row = '\t' chopping the '\n' at the end?

A quick answer much appreciated. Other tips as well. Thanks!

Upvotes: 0

Views: 53

Answers (2)

Dan Steingart
Dan Steingart

Reputation: 775

This should do it

import numpy 
try: from StringIO import StringIO
except ImportError: from io import StringIO

foo = '16.72083152\t12.91868366\t14.37818919\n16.9504402\t7.81951173\t12.81342726\n'
fn = StringIO.StringIO(foo) #make a file object from the string
data = numpy.loadtxt(fn) #use loadtxt with default settings.

Upvotes: 2

era_misa
era_misa

Reputation: 200

you could just try below code:

import numpy as np
data = np.loadtxt('data.txt',delimiter='\t')

Upvotes: 2

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