Pandas DataFrame

External

• https://pandas.pydata.org/docs/user_guide/dsintro.html#dataframe
• https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html#pandas.DataFrame

Internal

• Pandas Concepts
• Series

Overview

A DataFrame is a two-dimensional data structure with columns of potentially different types. The data structure also contains labeled axes, for both rows and columns.

Can be thought of as a dict-like container for Series objects, where each column is a Series. The dimensionality of the DataFrame is given by its shape property.

Shape

shape is a property of the DataFrame, containing a tuple that returns the dimensionality of the DataFrame: rows, columns.

Accessing Elements of a DataFrame

iloc[]

A property that allows integer-based access (indexing). The location is specified as a 0-based index position. The property accepts a wide variety of arguments. Some of the most common are:

iloc[<row-index-slice>, <column-index>]

loc[]

A property that allows label-based access (indexing).