Pandas Series: loc() function
Access a group of rows and columns in Pandas
The loc() function is used to access a group of rows and columns by label(s) or a boolean array.
.loc is primarily label based, but may also be used with a boolean array.
Allowed inputs are:
- A single label, e.g. 5 or 'a', (note that 5 is interpreted as a label of the index, and never as an integer position along the index).
- A list or array of labels, e.g. ['a', 'b', 'c'].
- A slice object with labels, e.g. 'a':'f'.
- A boolean array of the same length as the axis being sliced, e.g. [True, False, True].
- A callable function with one argument (the calling Series or DataFrame) and that returns valid output for indexing (one of the above)
when any items are not found
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