I have the csv file looks like this:
im1000100101 0
im1011100101 1
The first column is pixels value of images and second column is the class of that image. How can I use pd.read_csv()
to save the each pixel in a separate column. I want to my DataFrame looks like this:
px-1 px-2 px-3 px-4 px-5 px-6 px-7 px-8 px-9 px-10 label
1 0 0 0 1 0 0 1 0 1 0
1 0 1 1 1 0 0 1 0 1 1
Use read_fwf
:
import pandas as pd
from pandas.compat import StringIO
temp=u"""im1000100101 0
im1011100101 1"""
#after testing replace 'StringIO(temp)' to 'filename.csv'
N = 12
df = pd.read_fwf(StringIO(temp), header=None, widths=[1] * N + [6], usecols=range(2,13))
df.columns = ['px-{}'.format(x+1) for x in df.columns[:-1]] + ['label']
print (df)
px-1 px-2 px-3 px-4 px-5 px-6 px-7 px-8 px-9 px-10 label
0 1 0 0 0 1 0 0 1 0 1 0
1 1 0 1 1 1 0 0 1 0 1 1
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