Closed stevenmailca closed 3 years ago
It seems that below code inside data/create_datasets.ipynb makes the process be hung: url = 'https://old.nasdaq.com/screening/companies-by-name.aspx?letter=0&exchange={}&render=download' exchanges = ['NASDAQ', 'AMEX', 'NYSE'] df = pd.concat([pd.read_csv(url.format(ex)) for ex in exchanges]).dropna(how='all', axis=1)
I also try below codes which also make the process be hung:
import pandas as pd url="https://old.nasdaq.com/screening/companies-by-name.aspx?letter=0&exchange=NASDAQ&render=download" c=pd.read_csv(url)
import pandas as pd url="https://old.nasdaq.com/screening/companies-by-name.aspx?letter=0&exchange=AMEX&render=download" c=pd.read_csv(url)
import pandas as pd url="https://old.nasdaq.com/screening/companies-by-name.aspx?letter=0&exchange=NYSE&render=download" c=pd.read_csv(url)
I saw the update inside create_datasets.ipynb: Update: unfortunately, NASDAQ has disabled automatic downloads.
Is there any update to support this?
It seems that below code inside data/create_datasets.ipynb makes the process be hung: url = 'https://old.nasdaq.com/screening/companies-by-name.aspx?letter=0&exchange={}&render=download' exchanges = ['NASDAQ', 'AMEX', 'NYSE'] df = pd.concat([pd.read_csv(url.format(ex)) for ex in exchanges]).dropna(how='all', axis=1)
I also try below codes which also make the process be hung:
import pandas as pd url="https://old.nasdaq.com/screening/companies-by-name.aspx?letter=0&exchange=NASDAQ&render=download" c=pd.read_csv(url)
import pandas as pd url="https://old.nasdaq.com/screening/companies-by-name.aspx?letter=0&exchange=AMEX&render=download" c=pd.read_csv(url)
import pandas as pd url="https://old.nasdaq.com/screening/companies-by-name.aspx?letter=0&exchange=NYSE&render=download" c=pd.read_csv(url)