I have 3 different csv files and I'm looking for concat the values. The only condition I need is that the first csv dataframe must be in column A of the new csv, the second csv dataframe in the column B and the Thirth csv dataframe in the C Column. The quantity of rows is the same for all csv files.
Also I need to change the three headers to ['año_pasado','mes_pasado','este_mes']
import pandas as pd
df = pd.read_csv('año_pasado_subastas2.csv', sep=',')
df1 = pd.read_csv('mes_pasado_subastas2.csv', sep=',')
df2 = pd.read_csv('este_mes_subastas2.csv', sep=',')
df1
>>>
Subastas
166665859
237944547
260106086
276599496
251813654
223790056
179340698
177500866
239884764
234813107
df2
>>>
Subastas
212003586
161813617
172179313
209185016
203804433
198207783
179410798
156375658
130228140
124964988
df3
>>>
Subastas
142552750
227514418
222635042
216263925
196209965
140984000
139712089
215588302
229478041
222211457
The output that I need is:
año_pasado,mes_pasado,este_mes
166665859,124964988,142552750
237944547,161813617,227514418
260106086,172179313,222635042
276599496,209185016,216263925
251813654,203804433,196209965
223790056,198207783,140984000
179340698,179410798,139712089
177500866,156375658,215588302
239884764,130228140,229478041
234813107,124964988,222211457
