For a pandas data frame you can use df.to_csv('data.csv').

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to_csv.html

It's all in the docs.

You are interested in skipping the index column, so do:

result.to_csv("output.csv", index=False)

If you also want to skip the header add:

result.to_csv("output.csv", index=False, header=False)

I don't know how your input data looks like (it is a good idea to make it available in your question). But note that currently you can obtain the same results just by doing:

import pandas as pd
df = pd.DataFrame([0]*16)
df.to_csv('results.csv', index=False, header=False)

How about using the FileLinks class from IPython? I use this to provide access to data directly from Jupyter notebooks. Assuming your data is in pandas dataframe p_df:

from IPython.display import FileLink, FileLinks

p_df.to_csv('/path/to/data.csv', index=False)
p_df.to_excel('/path/to/data.xlsx', index=False)

FileLinks('/path/to/')

Run this as a notebook cell and the result will be a list of links to files downloadable directly from the notebook. '/path/to' needs to be accessible for the notebook user of course.