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It's a pandas data-frame and it's using label base selection tool with df.loc and in it, there are two inputs, one for the row and the other one for the column, so in the row input it's selecting all those row values where the value saved in the column class is versicolor, and in the column input it's selecting the column with label class, and ...
.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.
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
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?
What is the difference between using loc and using just square brackets ...
Use of loc to update a dataframe python pandas Asked 10 years, 3 months ago Modified 1 year, 4 months ago Viewed 53k times
Use of loc to update a dataframe python pandas - Stack Overflow
python pandas loc - filter for list of values [duplicate] Asked 8 years, 8 months ago Modified 4 years, 4 months ago Viewed 212k times
python pandas loc - filter for list of values - 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 - pandas loc vs. iloc vs. at vs. iat? - 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...
How to use .loc with groupby and two conditions in pandas Ask Question Asked 8 years, 1 month ago Modified 1 year, 10 months ago
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 ...