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  1. Returning a dataframe in python function - Stack Overflow

    You can return dataframe from a function by making a copy of the dataframe like def my_function(dataframe): my_df=dataframe.copy() my_df=my_df.drop(0) return(my_df) …

  2. How to convert an output of print statements into a dataframe in python?

    Jul 1, 2021 · I am having trouble converting the output of the following code into its own individual dataframe. I have tried creating a list and appending it to a list, but I get an error stating that …

  3. python - How to put the output of a function into a dataframe?

    Jan 24, 2020 · To get data from function you would have to keep all strings on list - without print() and use return to return it. results = [] for sentence in data: score = …

  4. Different ways to create Pandas Dataframe - GeeksforGeeks

    Jan 2, 2025 · Pandas Create Dataframe can be created by the DataFrame () function of the Pandas library. Just call the function with the DataFrame constructor to create a DataFrame. …

  5. Pandas DataFrame (With Examples) - Programiz

    print(df) In this example, we used the read_csv() function which reads the CSV file data.csv, and automatically creates a DataFrame object df, containing data from the CSV file.

  6. Data Science - Python DataFrame - W3Schools

    import pandas as pd d = {'col1': [1, 2, 3, 4, 7], 'col2': [4, 5, 6, 9, 5], 'col3': [7, 8, 12, 1, 11]} df = pd.DataFrame (data=d) print(df)

  7. Pandas: How to manually create a DataFrame and add data to it

    Feb 19, 2024 · In this tutorial, you’ve learned how to manually create a pandas DataFrame and add data to it, starting with simple examples and moving to more complex data manipulation …

  8. Creating a dataframe using CSV files - GeeksforGeeks

    Apr 8, 2025 · In Python the Pandas library is essential for handling and analyzing large datasets stored in CSV format. Below are three methods to create a Pandas DataFrame from a CSV …

  9. Creating DataFrames in Python: A Comprehensive Guide

    Feb 11, 2025 · Creating DataFrames in Python using the pandas library is a fundamental skill for data analysts and scientists. By understanding the different ways to create DataFrames, …

  10. How to Create or Initialize a Pandas DataFrame? Examples

    To create and initialize a DataFrame in pandas, you can use DataFrame () class. The syntax of DataFrame () class is: DataFrame (data=None, index=None, columns=None, dtype=None, …

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