how to merge two dataframe in pandas?

Question

I am trying to add two dataframes but not getting the right result. I have two files in which one file is having column name and other file is having data. I want to merge them.

I am using '\001' delimiter.

Example:

df1:

56447MNEMILY 2703546.742893.9553218262930LP2018-11-21 09:18:46.040618
62872ILOPDYKE 1708138.269688.8052618165922LP2018-11-21 09:18:46.040618
04925MECARATUNK 2302545.231369.9861207221305LP2018-11-21 09:18:46.040618

df2:

meli_zip_cd_basemeli_stt_provncdmeli_city_nmmeli_typmeli_cntry_fipsmeli_latimeli_longimeli_area_cdmeli_fin_cdmeli_last_lnmeli_facmeli_msa_cdmeli_pmsa_cdmeli_dma_cdload_dt

Expected final result:

df_final:

meli_zip_cd_basemeli_stt_provncdmeli_city_nmmeli_typmeli_cntry_fipsmeli_latimeli_longimeli_area_cdmeli_fin_cdmeli_last_lnmeli_facmeli_msa_cdmeli_pmsa_cdmeli_dma_cdload_dt
56447MNEMILY 2703546.742893.9553218262930LP2018-11-21 09:18:46.040618
62872ILOPDYKE 1708138.269688.8052618165922LP2018-11-21 09:18:46.040618
04925MECARATUNK 2302545.231369.9861207221305LP2018-11-21 09:18:46.040618

Answer 1

If I understand you correctly, you want the first (and only) row from df2 to become the header of the first (and only) column in df1 :

df1.columns = df2.iloc[0].values

Answer 2

I think I got the solution:

df1 = pd.read_csv('/medaff/eureka/CDP/DMN_MELI_ZIP/DMN_MELI_ZIP.txt', delimiter='\001')
df2 = pd.read_csv('/medaff/eureka/CDP/HEADERS/DMN_MELI_ZIP_HEADER.txt', delimiter='\001')

df1.columns = df2.columns

df1.to_csv('/medaff/eureka/CDP/HEADERS/test.txt', sep ='\001', index=False)