combining 2 dataframes pandas
df_3 = pd.concat([df_1, df_2])
pandas left join
df.merge(df2, left_on = "doc_id", right_on = "doc_num", how = "left")
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')
joins in pandas
pd.merge(product,customer,left_on='Product_name',right_on='Purchased_Product')
join tables pandas
In [99]: result = left.join(right, on=['key1', 'key2'], how='inner')
pandas merge python
import pandas as pd
df1 = pd.DataFrame({'lkey': ['foo', 'bar', 'baz', 'foo'],
'value': [1, 2, 3, 5]})
df2 = pd.DataFrame({'rkey': ['foo', 'bar', 'baz', 'foo'],
'value': [5, 6, 7, 8]})
df1.merge(df2, left_on='lkey', right_on='rkey')
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