Pandas DataFrame: Difference between revisions
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=Accessing Elements of a DataFrame= | =Accessing Elements of a DataFrame= | ||
==<tt>[]</tt>== | |||
==<tt>iloc[]</tt>== | ==<tt>iloc[]</tt>== | ||
==<tt>squeeze()</tt>== | |||
=Operations on DataFrames= | =Operations on DataFrames= | ||
Revision as of 18:24, 8 October 2023
External
- https://pandas.pydata.org/docs/user_guide/dsintro.html#dataframe
- https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html#pandas.DataFrame
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. 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.