albus_c albus_c - 3 months ago 7
Python Question

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


This is the structure of the input file:
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?

Answer

You can use:

data = pd.read_csv('output_list.txt', sep=" ", header = None)
data.columns = ["a", "b", "c", "etc."]

Add sep=" " in your code and leave a blank space between the quotes. So pandas can detect spaces beetween values and sort in columns. Data columns is for naming your columns.

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