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  1. pandas.pydata.org › api › pandaspandas.DataFrame — pandas 2.2.2 documentation

    class pandas.DataFrame(data=None, index=None, columns=None, dtype=None, copy=None) [source] #. Two-dimensional, size-mutable, potentially heterogeneous tabular data. Data structure also contains labeled axes (rows and columns).

  2. www.w3schools.com › python › pandasPandas DataFrames - W3Schools

    Learn how to create, access, and load data into Pandas DataFrames, a 2 dimensional data structure like a table. See examples, exercises, and certification options.

  3. realpython.com › pandas-dataframeThe pandas DataFrame: Make Working With Data Delightful

    Learn how to create, access, modify, and visualize pandas DataFrames, a two-dimensional data structure with labels. This tutorial covers data types, missing values, time series, and more.

  4. pandas.pydata.org › pandas-docs › stableDataFrame — pandas 2.2.2 documentation

    Learn how to create, manipulate and operate on DataFrame objects, which are two-dimensional, size-mutable, potentially heterogeneous tables of data. See attributes, methods, constructors, binary operators and examples of DataFrame usage.

  5. pythonbasics.org › pandas-dataframePandas Dataframe - Python Tutorial

    The DataFrame lets you easily store and manipulate tabular data like rows and columns. A dataframe can be created from a list (see below), or a dictionary or numpy array (see bottom). Create DataFrame from list

  6. programmation.surleweb-france.fr › guide-completGuide complet pour utiliser le module pandas en Python 3

    31 mai 2023 · Avec pandas, tu peux manipuler des données structurées et semi-structurées de manière efficace grâce à ses structures de données principales : les séries et les dataframes.

  7. pandas.pydata.org › pandas-docs › stableEssential basic functionality — pandas 2.2.2 documentation

    pandas objects (Index, Series, DataFrame) can be thought of as containers for arrays, which hold the actual data and do the actual computation. For many types, the underlying array is a numpy.ndarray.