I have written a script in python3 that opens a website, logs into it, enter numbers by running through a list
list = [1,2,3,4,5,6,7,8,9,10,11]
for j in list:
enternum = driver.find_element_by_xpath('xxxx')
enternum.click()
enternum.send_keys(j)
and downloads a file after entering each number.
I want to rename the file the moment it is downloaded before downloading the next file. For example:- File downloaded for 1 will be renamed as 1, for 2 as 2 and so on. I have tried using shutil and os.rename but was not successful.
Is there a way I can do this using Python? Any help will be appreciated
I was able to change the file names after downloading them, by using os.path.join and then using os.rename
Related
I frequent a real estate website that shows recent transactions, from which I will download data to parse within a Pandas dataframe. Everything about this dataset remains identical every time I download it (regarding the column names, that is).
The name of the Excel output may change, though. For example, if I already have download a few of these in my Downloads folder, the file that's exported may read "Generic_File_(3)" or "Generic_File_(21)" if I already have a few older "Generic_File" exports in that folder from a previous export.
Ideally, I'd like my workflow to look like this: export this Excel file of real estate sales, then run a Python script to read in the most recent export as a Pandas dataframe. The catch is, I don't want to have to go in and change the filename in the script to match the appending number of the Excel export everytime. I want the pd.read_excel method to simply read the "Generic_File" that is appended with the largest number (which will obviously correspond to the most rent export).
I suppose I could always just delete old exports out of my Downloads folder so the newest, freshest export is always named the same ("Generic_File", in this case), but I'm looking for a way to ensure I don't have to do this. Are wildcards the best path forward, or is there some other method to always read in the most recently downloaded Excel file from my Downloads folder?
I would use the OS package and create a method to read to file names in the downloads folder. Parsing string filenames you could then find the file following your specified format with the highest copy number. Something like the following might help you get started.
import os
downloads = os.listdir('C:/Users/[username here]/Downloads/')
is_file = [True if '.' in item else False for item in downloads]
files = [item for keep, item in zip(is_file, downloads) if keep]
** INSERT CODE HERE TO IDENTIFY THE FILE OF INTEREST **
Regex might be the best way to find matches if you have a diverse listing of files in your downloads folder.
In Python 3.7, I want to write a scrip that
creates folders based on a list
iterates through a list (elements represent different "runs")
searches for .txt files in predifined directories derived from certain operations
copies certain .txt files to the previously created folders
I managed to do that via following script:
from shutil import copy
import os
import glob
# define folders and batches
folders = ['folder_ce', 'folder_se']
runs = ['A001', 'A002', 'A003']
# make folders
for f in folders:
os.mkdir(f)
# iterate through batches,
# extract files for every operation,
# and copy them to target folder
for r in runs:
# operation 1
ce = glob.glob(f'{r}/{r}/several/more/folders/{r}*.txt')
for c in ce:
copy(c, 'folder_ce')
# operation 2
se = glob.glob(f'{r}/{r}/several/other/folders/{r}*.txt')
for s in se:
copy(s, 'folder_se')
In the predifined directories there are several .txt files
one file with the format A001.txt (where the "A001"-part is derived from the list "runs" specified above)
plus sometimes several files with the format A001.20200624.1354.56.txt
If a file with the format A001.txt is there, I only want to copy this one to the target directory.
If the format A001.txt is not available, I want to copy all files with the longer format (e.g. A001.20200624.1354.56.txt).
After the comment of #adamkwm, I tried
if f'{b}/{b}/pcs.target/data/xmanager/CEPA_Station/Verwaltung_CEPA_44S4/{b}.txt' in cepa:
copy(f'{b}/{b}/pcs.target/data/xmanager/CEPA_Station/Verwaltung_CEPA_44S4/{b}.txt', 'c_py_1')
else:
for c in cepa:
copy(c, 'c_py_1')
but that still copies both files (A001.txt and A001.20200624.1354.56.txt), which I understand. I think the trick is to first check in ce, which is a list, if the {r}.txt format is present and if it is, only copy that one. If not, copy all files. However, I don't seem to get the logic right or use the wrong modules or methods, it seems.
After searching for answers, i didn't find one resolving this specific case.
Can you help me with a solution for this "selective copying" of the files?
Thanks!
I'm trying to open a .exe file from Python and give it some instructions. Because I have thousands of models to run I need to automatize the process.
Here on Stackoverflow, I found several options that I tried. I am able to open .exe file but not able to fill the information in that and run the .exe. the place is always empty. I'm writing one of these solutions. [I'm using Python3]:
import os
your_bat_file_address = r'"C:\D_drive\testing\SAR\1100_star3\exmple.bat"' # example
os.startfile(your_bat_file_address)
in the exmple.bat file
"C:/D_drive/tool/EXMPLE.exe" --input1 "C:/D_drive/file/1st_file" --input2 "C:/D_drive/file/2st_file" --input3 "C:/D_drive/file/3st_file"
I would like to know how to perform the below mentioned task
I want to upload a CSV file to a python script 1, then send file's path to another python script in file same folder which will perform the task and send the results to python script 1.
A working code will be very helpful or any suggestion is also helpful.
You can import the script editing the CSV to the python file and then do some sort of loop that edits the CSV file with your script 1 then does whatever else you want to do with script 2.
This is an advantage of OOP, makes these sorts of tasks very easy as you have functions set in a module python file and can create a main python file and run a bunch of functions editing CSV files this way.
In the current python program I'm working on, I need to access a lot of stored data. I store it in the form of a bunch of dictionaries, each in their own file. Each file has a single command: giveArchive(). So to access one of the files, I use:
import fileName
return fileName.giveArchive()
And this has worked well so far, but as the number of files I need grows, I want to streamline this a little bit. I'd like to store all of these files in the same folder, and that folder in the same directory as my main file. Is there some way I can import every file in a folder? And if I do, how can I use 'giveArchive()' from specific files in it?
You can do something like:
from folder.subfolder.deepersubfolder import filename
return filename.giveArchive()
this assumes folder can be accessed from the directory your script is running in