PYTHON

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')

join pandas dataframe by column

df_outer = pd.merge(df1, df2, on='id', how='outer')
df_inner = pd.merge(df1, df2, on='id', how='inner')

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')

joins in pandas

pd.merge(product,customer,how='inner',left_on=['Product_ID','Seller_City'],right_on=['Product_ID','City'])

joins in pandas

pd.merge(product,customer,on='Product_ID')

join to dataframes pandas

>>> df.join(other.set_index('key'), on='key')
  key   A    B
0  K0  A0   B0
1  K1  A1   B1
2  K2  A2   B2
3  K3  A3  NaN
4  K4  A4  NaN
5  K5  A5  NaN

pandas join dataframe

#https://pandas.pydata.org/docs/user_guide/merging.html

pd df join

df.join(other.set_index('key'), on='key')

join tables pandas

In [88]: result = left.join(right, how='inner')