how to make pandas merge without inner data?
input:
inner_df = pd.merge(df1, df2, on='user', how='inner')
outer_df = pd.merge(df1, df2, on='user', how='outer')
so i don't need inner data i need only outer data. but merging large data three times is too costly for my computer. any easiest way to do that with low computational power requires?
required output:
reguired_output = outer_df - inner_df
If I understand your question correctly you want to have a new DataFrame without the common data. It can be done something like this:
merged_df = pd.merge(df1,df2,on='key',how='outer',indicator=True)
uncommon_df = merged_df[(merged_df['_merge'] == 'left_only') | (merged_df['_merge'] == 'right_only')].drop(columns='_merge')
now you can use "uncommon_df" for your purpose. There must be more different ways but this is my implementation. hope it helps