How to add sequential counter column on groups using Pandas groupby
I feel like there is a better way than this:
python
Identify groups of continuous numbers in a list
I’d like to identify groups of continuous numbers in a list, so that:
How to deep copy a list?
After E0_copy = list(E0), I guess E0_copy is a deep copy of E0 since id(E0) is not equal to id(E0_copy). Then I modify E0_copy in the loop, but why is E0 not the same after?
Use ‘import module’ or ‘from module import’?
I’ve tried to find a comprehensive guide on whether it is best to use import module or from module import. I’ve just started with Python and I’m trying to start off with best practices in mind.
In Python, how do I determine if an object is iterable?
Is there a method like isiterable? The only solution I have found so far is to call
Python nonlocal statement
What does the Python nonlocal statement do (in Python 3.0 and later)?
Escaping regex string
I want to use input from a user as a regex pattern for a search over some text. It works, but how I can handle cases where user puts characters that have meaning in regex?
Multiple aggregations of the same column using pandas GroupBy.agg()
Is there a pandas built-in way to apply two different aggregating functions f1, f2 to the same column df["returns"], without having to call agg() multiple times?
fatal error: Python.h: No such file or directory
I am trying to build a shared library using a C extension file but first I have to generate the output file using the command below:
selenium.common.exceptions.WebDriverException: Message: ‘chromedriver’ executable needs to be in PATH error with Headless Chrome
when i run my script , i got this error