从.txt文件导入数据并在Python中定义x和y变量

Question

I'm new to Python and I need to import data that is space separated.

The data looks something like this:

Title one

Title two

Title three

Title four

 1.2944870E-03  7.1226442E-01

 3.8834610E-03  8.3775342E-01

 6.4724353E-03  1.0313828E+00

 9.0614092E-03  7.7915078E-01

 2.2006279E-02  1.1677371E+00

I need to skip the first 4 lines during import.

So far I have this:

# Get .txt file
import tkinter as tk
from tkinter import filedialog
root = tk.Tk()
root.withdraw()
file_path = filedialog.askopenfilename(filetypes=[("Two Column txt","*.txt"),("Any text file","*.*")])

# Read the data
import pandas as pd
data = pd.read_csv(file_path,skiprows=4)

After importing with pd.read_csv the data cames as [ x _amount of rows, 1 column]. I would like to know if anyone can tell me how to separate this and assign the first column to X and the second column to Y

Best Regards!

Answer 1

Since your file is space-separated then you should override the default comma-separated parsing using sep=' ' . In order to provide your own headers you can use the header and names parameters:

data = pd.read_csv(file_path, sep=' ', skiprows=8, header=None, names=['X','Y'])

Answer 2

I was able to import the file with

data = pd.read_csv(file_path, sep='\\s+', skiprows=4, header=None, names=['X','Y'])

Then I got the variables separated with:

X=data['X'] Y=data['Y']

Thank you all for the help.