CODEWITHSUNDEEP
pythonarraysnumpy
Julia Roquette
Julia Roquette

Reputation: 696

Saving a row-wise txt with numpy with a pre-defined delimiter

Let's say I have two numpy arrays x and y and I want to save them in a txt with a tab as a delimiter (\t) and their appropriate type (x is a float and y is a integer) and a certain format. For example:

import numpy as np
x=np.random.uniform(0.1,10.,4)
y=np.random.randint(10,size=4)

If I simply use np.savetxt('name.txt',(x,y)), this is what I get:

6.111548206503401026e+00 4.208270401300298058e-01 5.914485954766230957e-01 6.652272388676337966e-01
6.027109785846696433e+00 1.024051075089774443e+01 3.358386699980072621e+01 7.652668778594046151e-01

But what I want is a row-wise txt file, so I followed this solution: numpy array to a file, np.savetxt

and bu using np.savetxt('name.txt',np.vstack((x,y)).T,delimiter='\t') I get:

2.640596763338360020e+00    4.000000000000000000e+00
8.693117057064670306e+00    4.000000000000000000e+00
3.891035166453641558e+00    6.000000000000000000e+00
9.044178202861068883e+00    2.000000000000000000e+00

Until here it is ok, but as I mentioned, I want the output to have the appropriate data type and some formatting, so I tried np.savetxt('name.txt',np.vstack((x,y)).T,fmt=('%7.2f,%5i'),delimiter='\ ...: t'), and what I get is:

   2.64,    4
   8.69,    4
   3.89,    6
   9.04,    2

which does have the appropriate format and data type, but which adds a , after the columns. Does anyone knows how to get rid of this , printed after the column?

Upvotes: 1

Views: 374

Answers (1)

Jacques Gaudin
Jacques Gaudin

Reputation: 16958

The comma is in your fmt string. Replace it with fmt='%7.2f %5i', like so:

np.savetxt('name.txt',np.vstack((x,y)).T,fmt='%7.2f %5i')

Note the tab delimiter (delimiter='\t') is not necessary as np.vstack((x,y)).T fills only one column. If you want a tab between the values, change the format string to fmt='%7.2f \t%5i' or alternatively:

np.savetxt('name.txt',np.vstack((x,y)).T,fmt=('%7.2f', '%5i'), delimiter='\t')

Upvotes: 2

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