python - How are iloc and loc different? - Stack Overflow loc and iloc are used for indexing, i e , to pull out portions of data In essence, the difference is that loc allows label-based indexing, while iloc allows position-based indexing
pandas - Selection with . loc in python - Stack Overflow df loc[['B', 'A'], 'X'] B 3 A 1 Name: X, dtype: int64 Notice the dimensionality of the return object when passing arrays i is an array as it was above, loc returns an object in which an index with those values is returned In this case, because j was a scalar, loc returned a pd Series object
python - pandas loc vs. iloc vs. at vs. iat? - Stack Overflow 208 loc: only work on index iloc: work on position at: get scalar values It's a very fast loc iat: Get scalar values It's a very fast iloc Also, at and iat are meant to access a scalar, that is, a single element in the dataframe, while loc and iloc are ments to access several elements at the same time, potentially to perform vectorized
python - Why use loc in Pandas? - Stack Overflow 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
python - pandas . at versus . loc - Stack Overflow 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
Python Pandas: Does loc and iloc stand for anything? To properly answer your question, you're asking "Does loc and iloc stand for anything?" rather than "What is the difference between loc and iloc?" I looked into this and found some relevant discussions A GitHub issue led me to this summary Based on my research, I believe it can be summarized as follows: Different Choices for Indexing loc iloc Selection By Label loc Selection By Position
Python Pandas - difference between loc and where? 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