I have this code but it doesn’t work and I don’t know why… please help!
import numpy as np
import pandas as pd
from pandas_datareader import data
TSLA = data.DataReader('TSLA', 'yahoo', start='2020-01-01')
print("TSLA:",TSLA)
Traceback (most recent call last):
File "C:\Users\David\Desktop\david\Sona\Python\PRUEBA.py", line 4, in <module>
TSLA = data.DataReader('TSLA', 'yahoo', start='2020-01-01')
File "C:\Users\David\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\util\_decorators.py", line 208, in wrapper
return func(*args, **kwargs)
File "C:\Users\David\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas_datareader\data.py", line 384, in DataReader
session=session,
File "C:\Users\David\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas_datareader\base.py", line 253, in read
df = self._read_one_data(self.url, params=self._get_params(self.symbols))
File "C:\Users\David\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas_datareader\yahoo\daily.py", line 153, in _read_one_data
resp = self._get_response(url, params=params)
File "C:\Users\David\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas_datareader\base.py", line 181, in _get_response
raise RemoteDataError(msg)
pandas_datareader._utils.RemoteDataError: Unable to read URL: https://finance.yahoo.com/quote/TSLA/history?period1=1577847600&period2=1667185199&interval=1d&frequency=1d&filter=history
Response Text:
b'<!DOCTYPE html>\n <html lang="en-us"><head>\n <meta http-equiv="content-type" content="text/html; charset=UTF-8">\n <meta charset="utf-8">\n <title>Yahoo</title>\n <meta name="viewport" content="width=device-width,initial-scale=1,minimal-ui">\n <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">\n <style>\n html {\n height: 100%;\n }\n body {\n background: #fafafc url(https://s.yimg.com/nn/img/sad-panda-201402200631.png) 50% 50%;\n background-size: cover;\n height: 100%;\n text-align: center;\n font: 300 18px "helvetica neue", helvetica, verdana, tahoma, arial, sans-serif;\n }\n table {\n height: 100%;\n width: 100%;\n table-layout: fixed;\n border-collapse: collapse;\n border-spacing: 0;\n border: none;\n }\n h1 {\n font-size: 42px;\n font-weight: 400;\n color: #400090;\n }\n p {\n color: #1A1A1A;\n }\n #message-1 {\n font-weight: bold;\n margin: 0;\n }\n #message-2 {\n display: inline-block;\n *display: inline;\n zoom: 1;\n max-width: 17em;\n _width: 17em;\n }\n </style>\n <script>\n document.write(\'<img src="//geo.yahoo.com/b?s=1197757129&t=\'+new Date().getTime()+\'&src=aws&err_url=\'+encodeURIComponent(document.URL)+\'&err=%<pssc>&test=\'+encodeURIComponent(\'%<{Bucket}cqh[:200]>\')+\'" width="0px" height="0px"/>\');var beacon = new Image();beacon.src="//bcn.fp.yahoo.com/p?s=1197757129&t="+new Date().getTime()+"&src=aws&err_url="+encodeURIComponent(document.URL)+"&err=%<pssc>&test="+encodeURIComponent(\'%<{Bucket}cqh[:200]>\');\n </script>\n </head>\n <body>\n <!-- status code : 404 -->\n <!-- Not Found on Server -->\n <table>\n <tbody><tr>\n <td>\n <img src="https://s.yimg.com/rz/p/yahoo_frontpage_en-US_s_f_p_205x58_frontpage.png" alt="Yahoo Logo">\n <h1 style="margin-top:20px;">Will be right back...</h1>\n <p id="message-1">Thank you for your patience.</p>\n <p id="message-2">Our engineers are working quickly to resolve the issue.</p>\n </td>\n </tr>\n </tbody></table>\n </body></html>'
Thanks!!
I would like to solve a problem with my code
>Solution :
import numpy as np
import pandas as pd
from pandas_datareader import data
TSLA = data.get_data_yahoo('TSLA', start='2020-01-01')
print("TSLA:",TSLA)
Output
Open High Low Close Adj Close Volume
Date
2020-01-02 28.299999 28.713333 28.114000 28.684000 28.684000 142981500
2020-01-03 29.366667 30.266666 29.128000 29.534000 29.534000 266677500
2020-01-06 29.364668 30.104000 29.333332 30.102667 30.102667 151995000
2020-01-07 30.760000 31.441999 30.224001 31.270666 31.270666 268231500
2020-01-08 31.580000 33.232666 31.215334 32.809334 32.809334 467164500
... ... ... ... ... ... ...
2022-10-24 205.820007 213.500000 198.589996 211.250000 211.250000 100446800
2022-10-25 210.100006 224.350006 210.000000 222.419998 222.419998 96507900
2022-10-26 219.399994 230.600006 218.199997 224.639999 224.639999 85012500
2022-10-27 229.770004 233.809998 222.850006 225.089996 225.089996 61638800
2022-10-28 225.399994 228.860001 216.350006 228.520004 228.520004 69039900
if the error still persists try upgrade the library
pip install --upgrade pandas-datareader