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df.loc[index,column_name] However, in this case, the first index seems to be a series of boolean values. Could someone please explain to me how this selection works. I tried to read through the …

Can someone explain how these two methods of slicing are different? I've seen the docs and I've seen previous similar questions (1, 2), but I still find myself unable to understand how they are dif...

Why do we use loc for pandas dataframes? it seems the following code with or without using loc both compiles and runs at a similar speed: %timeit df_user1 = df.loc[df.user_id=='5561'] 100 loops, b...

There seems to be a difference between df.loc [] and df [] when you create dataframe with multiple columns. You can refer to this question: Is there a nice way to generate multiple columns using .loc?

Feb 27, 2019 · Also, while where is only for conditional filtering, loc is the standard way of selecting in Pandas, along with iloc. loc uses row and column names, while iloc uses their index number.

I've been exploring how to optimize my code and ran across pandas .at method. Per the documentation Fast label-based scalar accessor Similarly to loc, at provides label based scalar lookups. You can