Example 1: pd merge on multiple columns
new_df = pd.merge(A_df, B_df, how='left', left_on=['A_c1','c2'], right_on = ['B_c1','c2'])
Example 2: join on column pandas
df1.merge(df2,on='columnName',how='left')
Example 3: pandas left join
df.merge(df2, left_on = "doc_id", right_on = "doc_num", how = "left")
Example 4: joins in pandas
pd.merge(product,customer,left_on='Product_name',right_on='Purchased_Product')
Example 5: 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')
Example 6: Joins with another DataFrame
df.join(df2, df.name == df2.name, 'outer').select(
df.name, df2.height).collect()
df.join(df2, 'name', 'outer').select('name', 'height').collect()
cond = [df.name == df3.name, df.age == df3.age]
df.join(df3, cond, 'outer').select(df.name, df3.age).collect()
df.join(df2, 'name').select(df.name, df2.height).collect()
df.join(df4, ['name', 'age']).select(df.name, df.age).collect()