October 2019
Beginner to intermediate
674 pages
16h 43m
English
Content preview from Mastering pandas - Second Edition
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Label-oriented indexing
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] ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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