Numpy loadtxt encoding
15,925
I could solve the problem by myself.
I just had to open the file with the appropriate before reading it with numpy:
import numpy as np
import codecs
n=10
filecp = codecs.open(myfile, encoding = 'cp1252')
mydata = np.loadtxt(filecp, skiprows = n)
Thank you everyone!
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Admin
Updated on August 20, 2022Comments
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Admin about 1 year
I am trying to load data with numpy.loadtxt... The file im trying to read is using cp1252 coding. Is there a possibility to change the encoding to cp1252 with numpy?
The following
import numpy as np n = 10 myfile = '/path/to/myfile' mydata = np.loadtxt(myfile, skiprows = n)
gives:
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xf6 in position 189: invalid start byte
The file contains metadata (first n rows) followed by a table of floats.
Edit: This problem only occurs when running this on Ubuntu (12.04). On Windows it works well. For this reason I think this problem is related to the encoding.
Edit2: opening the file as shown in the following works well, too:
import codecs data = codecs.open(myfile, encoding='cp1252') datalines = data.readlines()
However I'd like to use np.loadtext to directly read the data into a numpy array.
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Martin Ueding almost 7 yearsI have the hunch that this leads to a file descriptor leak unless one uses a context manager (
with
).