merge two dataframes with common columns
import pandas as pd pd.merge(df1, df2, on="movie_title")
merge two dataframes with common columns
import pandas as pd pd.merge(df1, df2, on="movie_title")
How to join two dataframes by 2 columns so they have only the common rows?
import pandas as pd import numpy as np df1 = pd.DataFrame({'fruit': ['apple', 'banana', 'orange'] * 3, 'weight': ['high', 'medium', 'low'] * 3, 'price': np.random.randint(0, 15, 9)}) df2 = pd.DataFrame({'pazham': ['apple', 'orange', 'pine'] * 2, 'kilo': ['high', 'low'] * 3, 'price': np.random.randint(0, 15, 6)}) out = df1.merge(df2,left_on=('fruit','weight'),right_on=('pazham','kilo'),how='inner',suffixes=('_left','_right')).head(10)
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