Run an OLS regression with Pandas Data Frame

Michael Zippo

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I have a pandas data frame and I would like to able to predict the values of column A from the values in columns B and C. Here is a toy example:

import pandas as pd
df = pd.DataFrame({"A": [10,20,30,40,50], 
                   "B": [20, 30, 10, 40, 50], 
                   "C": [32, 234, 23, 23, 42523]})

Ideally, I would have something like ols(A ~ B + C, data = df) but when I look at the examples from algorithm libraries like scikit-learn it appears to feed the data to the model with a list of rows instead of columns. This would require me to reformat the data into lists inside lists, which seems to defeat the purpose of using pandas in the first place. What is the most pythonic way to run an OLS regression (or any machine learning algorithm more generally) on data in a pandas data frame?

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Run an OLS regression with Pandas Data Frame del: Questions

__del__

How can I make a time delay in Python?

5 answers

I would like to know how to put a time delay in a Python script.

2973

Answer #1

import time
time.sleep(5)   # Delays for 5 seconds. You can also use a float value.

Here is another example where something is run approximately once a minute:

import time
while True:
    print("This prints once a minute.")
    time.sleep(60) # Delay for 1 minute (60 seconds).

2973

Answer #2

You can use the sleep() function in the time module. It can take a float argument for sub-second resolution.

from time import sleep
sleep(0.1) # Time in seconds

Run an OLS regression with Pandas Data Frame del: Questions

__del__

How to delete a file or folder in Python?

5 answers

How do I delete a file or folder in Python?

2639

Answer #1

os.remove() removes a file.
os.rmdir() removes an empty directory.
shutil.rmtree() deletes a directory and all its contents.

Path objects from the Python 3.4+ pathlib module also expose these instance methods:

pathlib.Path.unlink() removes a file or symbolic link.
pathlib.Path.rmdir() removes an empty directory.

We hope this article has helped you to resolve the problem. Apart from Run an OLS regression with Pandas Data Frame, check other __del__-related topics.

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Carlo Porretti

Abu Dhabi | 2023-03-24

I was preparing for my coding interview, thanks for clarifying this - Run an OLS regression with Pandas Data Frame in Python is not the simplest one. Will use it in my bachelor thesis

Ken Emmerson

Massachussetts | 2023-03-24

re Python module is always a bit confusing 😭 Run an OLS regression with Pandas Data Frame is not the only problem I encountered. I just hope that will not emerge anymore

Ken Schteiner

Texas | 2023-03-24

Thanks for explaining! I was stuck with Run an OLS regression with Pandas Data Frame for some hours, finally got it done 🤗. Will use it in my bachelor thesis