This was happening with wrong holiday year specified. issue is resolved now. Ex: wrong code date_range = pd.bdate_range(start='01/01/2022', end = '09/06/2022', freq='C', holidays = holidays(2020)) Year mentioned as 2020(incorrect) leading to above error

After downloading few files (17) get a timeout error or ConnectionError: HTTPSConnectionPool(host='www.nseindia.com', port=443): Read timed out. I have tried increasing sleep intervals between requests, still could not workaround...any thoughts or ideas to overcome this issue?

Example: I am using nsepy lib and for some reason it did not fetch any data from Sep 16th 2021 to 31st march 2022.

Thanks Yash...excellent stuff, this very useful. I was not aware of the split/bonus info available as a file in BSE....that's saves a lot of time and effort (have experienced pain) of collecting it from other places in past. One question: If we have say 200 stocks that we have applied splits and bonuses adjustment...we want to check the smoothness price data (or correct application of splits/bonuses). Is there a way to do it with pandas? or would we have to check visually in plots

Thanks, this is very helpful! I will probably need this in correcting dataset I am working

Thanks Yash, had to do few changes outlined above ...worked beaut. Need to see correlation of NSE ones to BSE, hopefully smooth :D Btw, ElementClickInterceptedException: element click intercepted: Element is not clickable at point (46, 901) while selected_purpose.click(). Had to get rid of it by adding WebDriverWait(driver, 20).until(EC.element_to_be_clickable((By.XPATH, f'//*[@id="ddlPurpose"]/option[@value=\"{corp_act}\"]'))).click()