Load data from txt with pandas Load data from txt with pandas python python

Load data from txt with pandas


python io pandas

You can use:

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

Add 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.

python io pandas

I'd like to add to the above answers, you could directly use

df = pd.read_fwf('output_list.txt')

fwf stands for fixed width formatted lines.

python io pandas

You can do as:

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

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

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