import pandas as pd
import numpy as np
income_df1 = pd.read_csv("question_1_2_1.csv",sep=';')
income_df2 = pd.read_csv("question_1_2_2.csv",sep=';')
income_df3 = pd.read_csv("question_1_2_3.csv",sep=';')
income_df1.drop([income_df1.columns[0]], axis=1,inplace=True)
income_df2.drop([income_df2.columns[0]], axis=1,inplace=True)
income_df3.drop([income_df3.columns[0]], axis=1,inplace=True)
income_df = pd.concat([income_df1, income_df2, income_df3], axis=0)
