hello. In the case that a dataframe has a column that bears the same name as a row, which does the computer take as default.
Hey @rayolufadeju,
It really depends on what syntax you use. Let’s look at an example dataframe:
>>> df
a b
b 1 4
c 2 5
d 3 6
We’ll use brackets select data:
>>> df['b']
b 4
c 5
d 6
Name: b, dtype: object
You can see that we got a series with three items, the column b
.
Now, let’s use the loc[]
syntax:
>>> df.loc['b']
a 1
b 4
Name: b, dtype: object
We get a series with two items, the row b
.
As you can see, depending on the context, there are different defaults. If there’s a particular syntax you’re interested in, please let me know and I’d be happy to help you on this.
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