python pandas dataframe to list of objects
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certainly! in this tutorial, we'll explore how to convert a python pandas dataframe to a list of objects. this can be useful when you want to work with the data in a more object-oriented manner. we'll use a simple example to illustrate the process.
make sure you have pandas installed. if not, you can install it using:
let's start by creating a pandas dataframe. in this example, we'll create a dataframe with information about books.
now, we'll convert the dataframe to a list of objects. each row in the dataframe will be represented as an object.
in this example, we define a simple book class with attributes corresponding to the columns in the dataframe. we then iterate through the rows of the dataframe using iterrows() and create a book object for each row, adding it to the books_list.
now that we have a list of objects, you can easily access individual attributes.
you've successfully converted a pandas dataframe to a list of objects in python. this approach can be helpful when you want to work with the data in a more structured and object-oriented way. customize the example based on your specific dataframe and object requirements.
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