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?
You can use:
data = pd.read_csv('output_list.txt', sep=" ", header=None) data.columns = ["a", "b", "c", "etc."]
sep=" " in your code, leaving a blank space between the quotes. So pandas can detect spaces between values and sort in columns. Data columns is for naming your columns.
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