raise KeyError(key) with Pandas

Question

DataFrame looks okay but I'm getting key error when I attempt sorting by the TXBS column in descending order:

pd.set_option('max_colwidth', -1)

data = pd.read_csv('intC.txt')
print(data)

mysort = data.sort_values(by=['TXBS'], ascending=False)

This is what the intC.txt file looks like:

Answer 1

You can try this also to avoid KeyError , hope the below code will solve your issue:

import pandas as pd
data = pd.DataFrame([i.split() for i in open("intC.txt", "r").readlines()])
data.columns = data.iloc[0]
data = data.iloc[1: , :]
data['TXBS'] = pd.to_numeric(data['TXBS'], errors='coerce')
mysort = data.sort_values(by=['TXBS'], ascending=False)