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Load data from txt with pandas

I am loading a txt file containig a mix of float and string data. I want to store them in an array where I can access each element. Now I am just doing

import pandas as pd

data = pd.read_csv('output_list.txt', header = None)
print data

Each line in the input file looks like the following:

 1 0 2000.0 70.2836942112 1347.28369421 /file_address.txt

Now the data are imported as a unique column. How can I divide it, so to store different elements separately (so I can call data[i,j])? And how can I define a header?

Solution

  • You can do as:

    import pandas as pd
df = pd.read_csv('file_location\filename.txt', delimiter = "\t")

    (like, df = pd.read_csv('F:\Desktop\ds\text.txt', delimiter = "\t")