How to create a numpy array from a string containing scientific notation

Question

I have a set of data I want to process from a text file where each line is to be a numpy array. Some are easy to convert to arrays using the fromstring method, but other have scientific notation entries within them. How would I go about converting those into a np array?

My data looks like (this would have to be one array):

0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
  0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
  0.00000000e+00 8.02796109e-07 0.00000000e+00 0.00000000e+00
  0.00000000e+00 0.00000000e+00 9.99999197e-01

bsf10 · Accepted Answer · 2019-10-28 18:52:00Z

1

I'd do

np.array(x.split(), dtype=np.float)

where x is your string

answered Oct 28, 2019 at 18:52

bsf10

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ycx · Accepted Answer · 2019-10-28 18:56:36Z

1

Do you mean:

import numpy as np
nn = np.array(['0.00122300e+10', '43434'])
nn = nn.astype(float)
print (nn)
#array([12230000.,    43434.])

answered Oct 28, 2019 at 18:56

ycx

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