merge two dataframes based on column
df_outer = pd.merge(df1, df2, on='id', how='outer') #here id is common column
df_outermerge two dataframes based on column
df_outer = pd.merge(df1, df2, on='id', how='outer') #here id is common column
df_outerpandas 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_colcombine 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)combine dataframes with two matching columns
merged_df = DF2.merge(DF1, how = 'inner', on = ['date', 'hours'])Copyright © 2021 Codeinu
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