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: pandas left join
df.merge(df2, left_on = "doc_id", right_on = "doc_num", how = "left")
Example 3: joins in pandas
pd.merge(product,customer,left_on='Product_name',right_on='Purchased_Product')
Example 4: 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 5: combine two dataframe in pandas
vertical_stack = pd.concat([survey_sub, survey_sub_last10], axis=0)
horizontal_stack = pd.concat([survey_sub, survey_sub_last10], axis=1)
Example 6: how to merge two dataframes
df_merge_col = pd.merge(df_row, df3, on='id')
df_merge_col