The .loc operator supports pure label-based indexing. It accepts the following as valid inputs:
- A single label such as ["colC"], [2], or ["R1"]—note that in cases where the label is an integer, it doesn't refer to the integer position of the index, but the integer is itself a label.
- A list or array of labels, for example, ["colA", "colB" ].
- A slice object with labels, for example, "colB":"colD".
- A Boolean array.
Let's examine each of these four cases with respect to the following two Series—one with an integer-based label and another with a string-based label:
ser_loc1 = pd.Series(np.linspace(11, 15, 5))ser_loc2 = pd.Series(np.linspace(11, 15, 5), index = list("abcde"))# Indexing with single labelIn: ser_loc1.loc[2] ...
