I have a folder named with a certain acronym, and inside this folder you can find a certain number of Excel files. The folder's name indicates the name of the apartment (for ex. UDC06_45) and, inside this folder, all of the Excel files' name are composed by: the name of the apartment, followed by the name of the appliance that is located in that apartment (for ex. UDC06_45_Oven).
These Excel files are very simple DataFrames, they contain energy consumption measurements: one column named "timestamps" and one column named "Energy" (all of these measurements have a 15 min frequency). All of the Excel files inside the folder are made with the same identical structure.
My Python code takes as input only one of these Excel files at a time and makes few operations on them (resampling, time interpolation, etc.) starting with the command "pd.read_excel()", and creates an output Excel file with "df.to_excel()" after giving it a name.
What I want to do is to apply my code automatically to all of the files in that folder. The code should take as input only the name of the folder ("UDC06_45") and create as many output files as needed. So if the folder contains only two appliances:
- "UDC06_45_Oven"
- "UDC06_45_Fridge"
the code will elaborate them both, one after the other, and I should obtain two dinstinct Excel files as output. Their name is just composed by the input file's name followed by "_output":
- "UDC06_45_Oven_output"
- "UDC06_45_Fridge_output".
In general, this must be done for every Excel file contained in that folder. If the folder contains 5 appliances, meaning 5 input Excel files, I should obtain 5 output Excel files... and so on.
How can I do it?
In the following code only assing your path, in my case I have used a test folder path
path=r'D:\test
' this code will create a new folder automatically in the same path.