Pandas DataFrame: Difference between revisions
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=Shape= | =Shape= | ||
<code>shape</code> is a property of the DataFrame, containing a tuple that returns the dimensionality of the DataFrame: rows, columns. | |||
=Create a DataFrame= | =Create a DataFrame= | ||
==Create a DataFrame from a CSV File== | ==Create a DataFrame from a CSV File== |
Revision as of 18:09, 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.
Shape
shape
is a property of the DataFrame, containing a tuple that returns the dimensionality of the DataFrame: rows, columns.