How to use an imported module in plotly bar chart?

Hi, so I am new to programming and very new to plotly. I have a function in a python module which derives a mean from each column found in a csv file. I would like to plot these means on a basic bar chart with the x axis denoting districts[the columns] and y axis denoting price with different colours. I have read parts of the documentation but it only seems to specify when users input the data manually.

Could anybody help me?

Hey @zarathustra

Could you please give an example of the code you’re working with? Then we can help more easily.

"import pandas as pd

Read CSV data into a Pandas DataFrame

df = pd.read_csv(‘nydataframe copy.csv’)

specified_columns = [‘Upper Manhattan’, ‘Inwood’, ‘Harlem’, ‘Leonx Hill’, ‘Astor Row’, ‘Upper East Side’]

specified_column_means = df[specified_columns].mean()
transformed_means = ((specified_column_means / 1_000_000).round(0) * 1_000_000).round(-5)

print(“Average property price in the following New York Districts:”)
print(transformed_means)"

Blockquote

So this is my code, what I’m actually wanting to do is call the variable ‘transformed_means’ into a separate script that I’m using for the visualisation. I.e using plotly for.