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  1. pandas.pydata.org › pandas-docs › stablepandas.DataFrame.head — pandas 2.2.2 documentation

    pandas.DataFrame.head. #. DataFrame.head(n=5) [source] #. Return the first n rows. This function returns the first n rows for the object based on position. It is useful for quickly testing if your object has the right type of data in it.

  2. www.w3schools.com › python › pandasPandas DataFrame head() Method - W3Schools

    Learn how to use the head() method to return the first 5 rows of a DataFrame in Python. See the syntax, parameters, return value and examples of this method.

  3. interactivechaos.com › es › manualEl método head | Interactive Chaos

    El método head. Este método, pandas.Series.head para series y pandas.DataFrame.head para dataframes, devuelve los primeros elementos de la estructura (los primeros valores en el caso de una serie y las primeras filas en el caso de un dataframe).

  4. www.statology.org › pandas-headHow to Use Pandas head() Function (With Examples) - Statology

    10 de ago. de 2021 · You can use the head () function to view the first n rows of a pandas DataFrame. This function uses the following basic syntax: df.head() The following examples show how to use this syntax in practice with the following pandas DataFrame: import pandas as pd. #create DataFrame.

  5. pynative.com › pandas-dataframe-head-tail-at-iatPandas DataFrame head, tail, at, iat - PYnative

    9 de mar. de 2023 · Learn how to use Pandas DataFrame functions to select top and bottom rows, access specific values, and set new values in the DataFrame. See examples, syntax, and output for each function.

  6. machinelearningpy.com › pandas-dataframe-head-methodPandas Dataframe head Method Explained with 4 Examples

    Learn how to use the head() method to preview the initial rows of a DataFrame in Python. See examples, syntax, benefits, pitfalls, and FAQs of this method.

  7. www.programiz.com › python-programming › pandasPandas head() - Programiz

    The head() method in Pandas is used to return the first n rows of a pandas object, such as a Series or DataFrame. This method is especially useful when you quickly want to inspect the top rows of large datasets.