combining 2 dataframes pandas
df_3 = pd.concat([df_1, df_2])pandas left join
df.merge(df2, left_on = "doc_id", right_on = "doc_num", how = "left")how to merge two dataframes
df_merge_col = pd.merge(df_row, df3, on='id')
df_merge_coljoins in pandas
pd.merge(product,customer,left_on='Product_name',right_on='Purchased_Product')combine two dataframe in pandas
# Stack the DataFrames on top of each other
vertical_stack = pd.concat([survey_sub, survey_sub_last10], axis=0)
# Place the DataFrames side by side
horizontal_stack = pd.concat([survey_sub, survey_sub_last10], axis=1)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)Copyright © 2021 Codeinu
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