Pandas DataFrame: Difference between revisions

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==<tt>[]</tt>==
==<tt>[]</tt>==
==<tt>iloc[]</tt>==
==<tt>iloc[]</tt>==
A property that allows integer-based access (indexing).
==<tt>loc[]</tt>==
A property that allows label-based access (indexing).
==<tt>squeeze()</tt>==
==<tt>squeeze()</tt>==


=Operations on DataFrames=
=Operations on DataFrames=

Revision as of 18:29, 8 October 2023

External

Internal

Overview

A DataFrame is a two-dimensional data structure with columns of potentially different types. 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.

Create a DataFrame

Create a DataFrame from a CSV File

Accessing Elements of a DataFrame

[]

iloc[]

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

loc[]

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

squeeze()

Operations on DataFrames