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Pandas join two dataframes

Merge two dataframes based on column

df_outer = pd.merge(df1, df2, on='id', how='outer') #here id is common column

df_outer

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Combining 2 dataframes pandas

df_3 = pd.concat([df_1, df_2])

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Join on column pandas

# df1 as main df and use the feild from df2 and map it into df1

df1.merge(df2,on='columnName',how='left')

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Pandas left join

df.merge(df2, left_on = "doc_id", right_on = "doc_num", how = "left")

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Pandas join two columns

df['FullName'] = df[['First_Name', 'Last_Name']].agg('-'.join, axis=1)

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Pandas join two dataframes

df = df1.append(df2)

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