使用 Python Pandas 合并.dat 文件

Question

I'm attempting to merge two.dat files so I can scan through them both for a project. I have tried searching it up, and all I can find is how to merge csv files. How do I merge these two files using Pandas? If its necessary or is just plain easier to convert them, how do I do so? I am using Jupyterlabs, Python 3.8, and am quite new to both.

Answer 1

Merging should go pretty much the same as csv:

import pandas as pd


df1 = pd.read_csv("fileA.dat")
df2 = pd.read_csv("fileB.dat")

df = pd.concat([df1, df2])

df.to_csv('df.dat')

this does however, partly depend on the conventions used in the dat file. You might have to use a different parser to go through the files

Answer 2

Try:

df_1 = pd.read_csv('file_1.dat', sep='\s\s+', engine='python') 
df_2 = pd.read_csv('file_2.dat', sep='\s\s+', engine='python')

df_3 = df_1.merge(df2, on = "common_column")