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'])

Source: stackoverflow.com

Pandas merge two columns from different dataframes

#suppose you have two dataframes df1 and df2, and 
#you need to merge them along the column id
df_merge_col = pd.merge(df1, df2, on='id')

Take union of two dataframes pandas

m = {'left_only': 'df1', 'right_only': 'df2', 'both': 'df1, df2'}

result = df1.merge(df2, on=['A'], how='outer', indicator='B')
result['B'] = result['B'].map(m)

result

Source: stackoverflow.com

Similar codes

1 vote113 views1 answer
Django get id of newly created object
Python
5 votes117 views3 answers
Convert json to csv
Python
0 vote120 views1 answer
How to access rows and columns indexing numpy
Python
0 vote110 views1 answer
Form valid django created by
Python
0 vote111 views2 answers
How to update sklearn
Python
0 vote131 views1 answer
Using default as none in django mdoels
Python Django
2 votes107 views1 answer
ValueError: Found array with dim 3. Estimator expected <= 2.
Python
1 vote122 views2 answers
Pandas difference between rows in a column
Python
158 votes196 views3 answers
Traversing dictionary in python
Python
0 vote119 views1 answer
Python random real
Python