Python program that uses polynomial regression to fit a curve to a dataset using this method we can import a data set of the form:

x	f(x)
$$x_1$$	$f(x_1)$
$$x_2$$	$f(x_2)$
$$x_3$$	$f(x_3)$
...	...
$$x_n$$	$$f(x_n)$$

Which should be saved in an external file and will later be parsed onto the main file. The program will take two arguments:

Arguments	Description
-f	Mandatory, precedes the path for the dataset.
-n	Mandatory, where n is the degree of the desired polynomial for fitting.
-x	Optional, Label for the x axis, should be parsed using " " and along with the y axis label.
-y	Optional, Label for the y axis, should be parsed using " " and along with the y axis label.

Finally, the program is to be used as follows on the console:

foo@bar:~$ python3 main.py -f filePath -n N

Or, in case that the graph of the function is needed:

foo@bar:~$ python3 main.py -f filePath -n N -x "xlabel" -y "ylabel"

Please let me know if there are any questions.