topic Access content in dataframe by loc/iloc or by [ ] [ ]? in missing-QuestionPost

Access content in dataframe by loc/iloc or by [ ] [ ]?

AleksandraFrolo — Tue, 13 Jun 2023 08:02:16 GMT

Hello,

Task: I am trying to understand, what approach is better to access the content in DataFrame.

My piece of code:

print("First approach: ", df["Purchase Address"][0])
 
print("Second approach: ", df.loc[0,"Purchase Address"])

These lines are equal to each other. For me more comfortable to use first version. Is there any recommends in pandas how to access the content?

-werners- — Tue, 13 Jun 2023 13:26:08 GMT

they are pretty much the same, except that loc can do a tad more:

Anonymous — Wed, 14 Jun 2023 07:53:22 GMT

@Aleksandra Frolova :

Both approaches you mentioned are valid ways to access content in a DataFrame in pandas. Let's take a closer look at each approach:

Using brackets []:

df["Purchase Address"][0]

Using loc or iloc:

df.loc[0, "Purchase Address"]

Both approaches have their advantages depending on the specific use case:

The bracket notation [] is simpler and more concise, making it suitable for quick access to specific elements or simple slicing operations. It is commonly used when you have a straightforward DataFrame structure or when you want to access a specific column or row quickly.
The loc or iloc indexer is more versatile and powerful. It allows you to access elements using label-based indexing (loc) or integer-based indexing (iloc). This is especially useful when you have complex DataFrame structures, customized row and column labels, or when you need more control over your indexing operations.