multidimensional pandas dataframe in python

To create a multidimensional pandas DataFrame in Python, you can use the pd.DataFrame function with a nested list as the data input.

Here's an example of how you can create a multidimensional pandas DataFrame:

main.py
import pandas as pd

data = [['Alice', 25, 'New York'],
        ['Bob', 30, 'Los Angeles'],
        ['Charlie', 35, 'Chicago']]

df = pd.DataFrame(data, columns=['Name', 'Age', 'City'])
print(df)
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This will create a DataFrame with three rows and three columns representing Name, Age, and City. You can access the elements of this DataFrame using various pandas operations such as indexing, slicing, and filtering.

Please note that all elements in a pandas DataFrame must have the same type, so it's recommended to keep the data types consistent within each column.

Hope this helps!