python pandas dataframe to list of dict

title: converting a pandas dataframe to a list of dictionaries in python
introduction:
pandas is a powerful data manipulation library in python, and it provides a flexible data structure known as dataframe. dataframes are widely used for working with tabular data. in certain scenarios, you might need to convert a pandas dataframe to a list of dictionaries, where each dictionary represents a row in the dataframe. this tutorial will guide you through the process of achieving this conversion with code examples.
step 1: install pandas
if you haven't installed pandas yet, you can do so using the following command:
step 2: import pandas and create a dataframe
let's start by importing pandas and creating a sample dataframe for demonstration purposes:
step 3: convert dataframe to a list of dictionaries
now, let's convert the dataframe to a list of dictionaries. we can use the to_dict method provided by pandas with the orient parameter set to 'records'. this will generate a list of dictionaries, where each dictionary corresponds to a row in the dataframe.
in this example, each dictionary in the resulting list represents a row from the original dataframe, with keys corresponding to column names and values representing the corresponding cell values.
complete code example:
this tutorial demonstrated how to convert a pandas dataframe to a list of dictionaries in python. this conversion is useful in scenarios where you need to work with the data in a format that is more suitable for certain operations or external interfaces.
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