how can i change the type of storing Dict from row to column using Python

Sure thing! Changing the storage format of a dictionary from row to column (or vice versa) can be achieved using the pandas library in Python. Pandas provides a convenient and efficient way to manipulate and transform tabular data, including dictionaries.
Let's walk through a step-by-step tutorial on how to change the storage format of a dictionary from row to column using pandas.
If you haven't installed pandas yet, you can do so using the following command:
Once pandas is installed, import it into your Python script or Jupyter Notebook:
Let's create a sample dictionary with rows that we want to transform into columns:
Create a pandas DataFrame from the dictionary:
Print the original DataFrame to see the row format:
Now, let's transform the DataFrame from row format to column format:
Print the resulting DataFrame to see the column format:
Now you can access the data in the column format using column names:
And that's it! You've successfully changed the storage format of your dictionary from row to column using pandas.
This tutorial provides a basic example, but you can apply similar concepts to more complex dictionaries and datasets. Keep in mind that this method assumes your dictionary has a tabular structure, where keys represent column names and values represent column values.
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