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', …

Jul 11, 2025 · Use DataFrame.loc attribute to access a particular cell in the given Pandas Dataframe using the index and column labels. We are then selecting a single row and column …

Return the age of Mary: The loc property gets, or sets, the value (s) of the specified labels. Specify both row and column with a label. To access more than one row, use double brackets …

Jun 5, 2025 · In this article, we’ll explore how to use loc in pandas DataFrame for row and column selection, slicing, filtering, updating values, and more. Whether you’re a beginner or …

Feb 24, 2024 · Among its many features, DataFrame.loc[] stands out for its ability to select data based on label information. This tutorial will guide you through understanding and utilizing loc[] …

Aug 4, 2025 · What does the LOC stand for in Python? In the pandas library in Python, “loc” in .loc[] stands for “location,” and “iloc” in .iloc[] stands for “integer location.”

Feb 25, 2025 · The loc function is used for label-based indexing, allowing you to select and manipulate data in DataFrames. This tutorial covers how to use loc with practical examples. …

In the above example, we have used the loc[] property to select a single row from the DataFrame. The index parameter specifies custom row labels A, B, C, and D for the DataFrame.

Apr 21, 2025 · df.loc is an indexer attribute of a pandas DataFrame. It is used for label-based indexing, which means it allows you to access rows and columns using their labels rather than …

Jun 12, 2025 · DataFrame.loc[] operates on labels to extract rows and/or columns in Pandas. It can accept a single label, multiple labels from a list, a range (between two index labels), and …