Create Pandas DataFrame from txt file with specific pattern
I need to create a Pandas DataFrame based on a text file based on the following structure:
extract
How to extract top-level domain name (TLD) from URL
how would you extract the domain name from a URL, excluding any subdomains?
python pandas extract year from datetime: df[‘year’] = df[‘date’].year is not working
I import a dataframe via read_csv, but for some reason can’t extract the year or month from the series df['date'], trying that gives AttributeError: 'Series' object has no attribute 'year':
How do you extract a url from a string using python?
For example:
Extract files from zip without keeping the structure using python ZipFile?
I try to extract all files from .zip containing subfolders in one folder. I want all the files from subfolders extract in only one folder without keeping the original structure. At the moment, I extract all, move the files to a folder, then remove previous subfolders. The files with same names are overwrited.