python pandas convert dataframe to dictionary with multiple values

pandas is a powerful data manipulation library in python, widely used for data analysis and manipulation. in this tutorial, we will explore how to convert a pandas dataframe to a dictionary with multiple values using python.
before we start, make sure you have pandas installed. if you don't have it installed, you can install it using the following command:
let's create a sample dataframe with multiple columns.
now, let's convert the dataframe to a dictionary where each row is represented as a dictionary with multiple values.
the orient='records' parameter in the to_dict method specifies that each row of the dataframe should be represented as a dictionary.
now, you can easily access values in the resulting dictionary. for example, if you want to access the 'name' of the first person in the dictionary:
this will output:
in this tutorial, you learned how to convert a pandas dataframe to a dictionary with multiple values using python. this can be particularly useful when you want to work with the data in a dictionary format, making it easy to access and manipulate the data.
feel free to adapt this example to your specific use case, and explore more functionalities offered by pandas for data manipulation and analysis.
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