Asked By – albus_c
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?
Now we will see solution for issue: Load data from txt with pandas
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”)