Pandas DataFrame 列命名约定

Question

Is there any commonly used Pandas DataFrame column naming convention? Is PEP8 recommended here (ex. instance variables)?

Concious that lots of data is loaded from external sources with headers but I'm curious what is the correct approach when I have to name/rename the columns on my own?

Answer 1

Some people tend to use snake_case (lower case with underscores) so that they can access the column using period like this df.my_column

I tend to always access colums using the df['my_column'] syntax because it avoids confusion with DataFrame methods and properties, and it easier to extend to slices and fancy indexing, so the snake case is not necessary.

In short, I think you should use whatever is clearest to a potential reader.

Answer 2

要记住的另一件事是，如果您的应用程序也使用关系数据库 - 我建议您将 Pandas 命名约定与关系数据库表的列名保持一致。

Answer 3

There is no clear guidance from pandas founding fathers and the choice is really between already mentioned snake vs Pascal (camel) case , or df[my_column] vs df[MyColumn] , and is a matter of preference. A lot of R packages use snake case for dataframes. I'd say snake case is more readable while Pascal case require fewer characters.