merge two dataframes based on column
df_outer = pd.merge(df1, df2, on='id', how='outer') #here id is common column
df_outer
merge two dataframes based on column
df_outer = pd.merge(df1, df2, on='id', how='outer') #here id is common column
df_outer
pandas concat / merge two dataframe within one dataframe
In [9]: result = pd.concat([df1, df4], axis=1)
pandas combine two data frames with same index and same columns
pd.merge(df1, df2, left_index=True, right_index=True, how='outer')
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)
merge dataframe
In [46]: result = pd.merge(left, right, how="right", on=["key1", "key2"])
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