import pandas as pd

# Lee tus archivos CSV en DataFrames
df1 = pd.read_csv("EURUSD1H_from_02_of_2023_.csv")
df2 = pd.read_csv("EURUSD1H_from_02_of_2022_.csv")
df3 = pd.read_csv("EURUSD1H_from_02_of_2021_.csv")
df4 = pd.read_csv("EURUSD1H_from_02_of_2020_.csv")
df5 = pd.read_csv("EURUSD1H_from_02_of_2019_.csv")
df6 = pd.read_csv("EURUSD1H_from_02_of_2018_.csv")
df7 = pd.read_csv("EURUSD1H_from_02_of_2017_.csv")
df8 = pd.read_csv("EURUSD1H_from_02_of_2016_.csv")
df9 = pd.read_csv("EURUSD1H_from_02_of_2015_.csv")

# Combina los DataFrames en uno solo
df_final = pd.concat([df1, df2, df3, df4, df5, df6, df7, df8, df9], ignore_index=True)

# Guarda el DataFrame final en un nuevo archivo CSV
df_final.to_csv("seasonal_feb_concat_v2.csv", index=False)