Unable to use api key #31
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Hi there,
Thank you for reaching out.
If you are attempting to store your API key in a different file, you
only need to save the API key in a .txt file. In addition, the
filename should be the full path of the archive.
The recommended way to pass in your API key is to simply use
nasdaqdatalink.ApiConfig.api_key = "xxx" directly in your python code
as some user system configurations make it more difficult to setup the
API key in a different file.
Please let me know if you have any additional questions!
Best regards,
Hao
TRUNG-HAO NGUYEN
Client Success
Nasdaq Data Link
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On Thu, Nov 17, 2022 at 2:02 PM EST, Nasdaq/data-Link-Python ***@***.***> wrote:
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WARNING - EXTERNAL EMAIL; EXERCISE CAUTION.
I am beginner at coding.
Should I store the api key in a json format file? containing the
following statement : api_key = XXXXXXXXXXX (my api key)
AND
import nasdaqdatalink
nasdaqdatalink.read_key(filename="/path")
the path begins where my code is located or should I write the full
path of the archive?
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Hello to all, I also have truble getting the data.... I have truble getting the end of day data for the last month. Can you please help me, with my code to get the last 30 day data for IBM, please? In my code below I replaced my API KEY with 'xxx'. My python code: import nasdaqdatalink
if __name__ == '__main__':
nasdaqdatalink.ApiConfig.api_key = "xxx"
data = nasdaqdatalink.get('NSE/OIL')
print(data)The result: Open High ... Total Trade Quantity Turnover (Lacs)
Date ...
2009-09-30 1096.00 1156.70 ... 19748012.0 223877.07
2009-10-01 1102.00 1173.70 ... 3074254.0 35463.78
2009-10-05 1152.00 1165.90 ... 919832.0 10581.13
2009-10-06 1149.80 1157.20 ... 627957.0 7185.90
2009-10-07 1153.80 1160.70 ... 698216.0 8032.98
... ... ... ... ... ...
2018-12-31 178.10 179.00 ... 761462.0 1343.75
2019-01-01 175.00 176.40 ... 381570.0 669.16
2019-01-02 175.80 176.20 ... 722532.0 1251.85
2019-01-03 172.80 175.70 ... 698190.0 1212.34
2019-01-04 172.05 174.95 ... 431122.0 749.99
[2299 rows x 7 columns]
Process finished with exit code 0 |
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Hello Valter,
Thank you very much for reaching out.
Based on the code provided, it appears that you are retrieving data
from the time-series dataset NSE/OIL instead of the data found in
QUOTEMEDIA/PRICES table.
As the EOD product is in a different format, you are required to use
the GET_TABLE function.
Here's the code that will return data from the QUOTEMEDIA/PRICES
table:
nasdaqdatalink.ApiConfig.api_key = "xxx"
data = nasdaqdatalink.get_table('QUOTEMEDIA/PRICES', ticker='IBM',
date={'gte':'2022-12-01','lte':'2022-12-28'}, paginate=True)
print(data)
This will return all available data from the QUOTEMEDIA/PRICES table
for the ticker IBM, for the date range 2022-12-01 to 2022-12-28.
To understand the composition of the above code:
* _nasdaqdatalink.get_table _is the function compatible with the
Tables API;
* _QUOTEMEDIA/PRICES_ is the the appropriate database to call;
* _ticker='IBM'_ is the ticker required;
* _date={...}_ passes the GTE and LTE operators to specify the date
range; and
* _paginate=True_ (optional) is a parameter used to return data if
there are more than 10,000 rows.
To view the full Python documentation for our tables API, please see:
https://docs.data.nasdaq.com/docs/python-tables [1]
Additional usage examples specific to the EOD product may be viewed in
the product page's quickstart guide:
https://data.nasdaq.com/databases/EOD/usage/quickstart/api [2]
We hope this helps! Please feel free to let us know should you have
any additional questions.
Kind regards,
Kim
Links:
------
[1] https://docs.data.nasdaq.com/docs/python-tables
[2] https://data.nasdaq.com/databases/EOD/usage/quickstart/api
KIM LIRA
Client Success
Nasdaq Data Link
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On Wed, Dec 28, 2022 at 6:59 AM EST, Nasdaq/data-Link-Python ***@***.***> wrote:
…
WARNING - EXTERNAL EMAIL; EXERCISE CAUTION.
Hello to all,
I also have truble getting the data....
I have my https://data.nasdaq.com/ [1] account and a subscription to
QUOTEMEDIA/End of Day US Stock Prices.
I have truble getting the end of day data for the last month. Can you
please help me, with my code to get the last 30 day data for IBM,
please?
In my code below I replaced my API KEY with 'xxx'.
Thank you for your time and help.
Best regards,
Valter
My python code:
import nasdaqdatalink if __name__ == '__main__':
nasdaqdatalink.ApiConfig.api_key = "xxx" data =
nasdaqdatalink.get('NSE/OIL') print(data)
The result:
Open High ... Total Trade Quantity Turnover (Lacs) Date ...
2009-09-30 1096.00 1156.70 ... 19748012.0 223877.07 2009-10-01 1102.00
1173.70 ... 3074254.0 35463.78 2009-10-05 1152.00 1165.90 ... 919832.0
10581.13 2009-10-06 1149.80 1157.20 ... 627957.0 7185.90 2009-10-07
1153.80 1160.70 ... 698216.0 8032.98 ... ... ... ... ... ...
2018-12-31 178.10 179.00 ... 761462.0 1343.75 2019-01-01 175.00 176.40
... 381570.0 669.16 2019-01-02 175.80 176.20 ... 722532.0 1251.85
2019-01-03 172.80 175.70 ... 698190.0 1212.34 2019-01-04 172.05 174.95
... 431122.0 749.99 [2299 rows x 7 columns] Process finished with exit
code 0
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Hello,
Thank you very much. You helped me. The code snapshot you provided works as
expected. I was hoping to get also the current last price for the specific
ticker.
Is it possible to get the current close price with my current subscription?
If not, what subscription do I need to have?
A second question also if a little off topic: what function i have to call
to get a list of all tickers?
Thank you for your time.
Best regards,
Valter
…-- Please reply above this line --
Hello Valter,
Thank you very much for reaching out.
Based on the code provided, it appears that you are retrieving data
from the time-series dataset NSE/OIL instead of the data found in
QUOTEMEDIA/PRICES table.
As the EOD product is in a different format, you are required to use
the GET_TABLE function.
Here's the code that will return data from the QUOTEMEDIA/PRICES
table:
nasdaqdatalink.ApiConfig.api_key = "xxx"
data = nasdaqdatalink.get_table('QUOTEMEDIA/PRICES', ticker='IBM',
date={'gte':'2022-12-01','lte':'2022-12-28'}, paginate=True)
print(data)
This will return all available data from the QUOTEMEDIA/PRICES table
for the ticker IBM, for the date range 2022-12-01 to 2022-12-28.
To understand the composition of the above code:
* _nasdaqdatalink.get_table _is the function compatible with the
Tables API;
* _QUOTEMEDIA/PRICES_ is the the appropriate database to call;
* _ticker='IBM'_ is the ticker required;
* _date={...}_ passes the GTE and LTE operators to specify the date
range; and
* _paginate=True_ (optional) is a parameter used to return data if
there are more than 10,000 rows.
To view the full Python documentation for our tables API, please see:
https://docs.data.nasdaq.com/docs/python-tables [1]
Additional usage examples specific to the EOD product may be viewed in
the product page's quickstart guide:
https://data.nasdaq.com/databases/EOD/usage/quickstart/api [2]
We hope this helps! Please feel free to let us know should you have
any additional questions.
Kind regards,
Kim
Links:
------
[1] https://docs.data.nasdaq.com/docs/python-tables
[2] https://data.nasdaq.com/databases/EOD/usage/quickstart/api
KIM LIRA
Client Success
Nasdaq Data Link
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> On Wed, Dec 28, 2022 at 6:59 AM EST, Nasdaq/data-Link-Python
***@***.***> wrote:
>
> WARNING - EXTERNAL EMAIL; EXERCISE CAUTION.
>
> Hello to all,
>
> I also have truble getting the data....
> I have my https://data.nasdaq.com/ [1] account and a subscription to
> QUOTEMEDIA/End of Day US Stock Prices.
>
> I have truble getting the end of day data for the last month. Can you
> please help me, with my code to get the last 30 day data for IBM,
> please?
>
> In my code below I replaced my API KEY with 'xxx'.
> Thank you for your time and help.
> Best regards,
> Valter
>
> My python code:
>
> import nasdaqdatalink if __name__ == '__main__':
> nasdaqdatalink.ApiConfig.api_key = "xxx" data =
> nasdaqdatalink.get('NSE/OIL') print(data)
>
> The result:
>
> Open High ... Total Trade Quantity Turnover (Lacs) Date ...
> 2009-09-30 1096.00 1156.70 ... 19748012.0 223877.07 2009-10-01 1102.00
> 1173.70 ... 3074254.0 35463.78 2009-10-05 1152.00 1165.90 ... 919832.0
> 10581.13 2009-10-06 1149.80 1157.20 ... 627957.0 7185.90 2009-10-07
> 1153.80 1160.70 ... 698216.0 8032.98 ... ... ... ... ... ...
> 2018-12-31 178.10 179.00 ... 761462.0 1343.75 2019-01-01 175.00 176.40
> ... 381570.0 669.16 2019-01-02 175.80 176.20 ... 722532.0 1251.85
> 2019-01-03 172.80 175.70 ... 698190.0 1212.34 2019-01-04 172.05 174.95
> ... 431122.0 749.99 [2299 rows x 7 columns] Process finished with exit
> code 0
>
> -
> Reply to this email directly, view it on GitHub [2], or unsubscribe
> [3].
> You are receiving this because you commented.Message ID:
> ***@***.***>
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> are for the exclusive and confidential use of the intended recipient
> and may constitute non-public information. Personal data in this email
> is governed by our Privacy Policy at
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> excluded from it; please see the section in the policy entitled
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> product or other applicable legal privilege(s) by the transmission of
> this message.
> *******************************************
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> Links:
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> [1] https://data.nasdaq.com/
> [2]
>
#31 (comment)
> [3]
>
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> [4] https://www.nasdaq.com/privacy-statement
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-- Please reply above this line --
Hi Valter,
You are most welcome -- we at Nasdaq Data Link are always happy to
help!
To return only the most recent observation for a specific ticker,
simply call for the exact date without using the 'gte' and 'lte'
operators. You can try an API call like this one:
nasdaqdatalink.get_table('QUOTEMEDIA/PRICES',
qopts={"columns":"close"}, ticker='IBM', date='2022-12-27')
The above code will return close price data from the QUOTEMEDIA/PRICES
table for the ticker IBM only for the date 2022-12-27. Simply adjust
the date to return the exact data point you require, and you may
modify the qopts="columns":... parameter to include additional
columns.
The full ticker list may be retrieved by calling data from the
QUOTEMEDIA/TICKERS table:
data = nasdaqdatalink.get_table('QUOTEMEDIA/TICKERS', paginate=True)
Kindly feel free to reach out should you have further questions.
Best regards,
Kim
KIM LIRA
Client Success
Nasdaq Data Link
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On Wed, Dec 28, 2022 at 11:14 AM EST, Nasdaq/data-Link-Python ***@***.***> wrote:
…
WARNING - EXTERNAL EMAIL; EXERCISE CAUTION.
Hello,
Thank you very much. You helped me. The code snapshot you provided
works as
expected. I was hoping to get also the current last price for the
specific
ticker.
Is it possible to get the current close price with my current
subscription?
If not, what subscription do I need to have?
A second question also if a little off topic: what function i have to
call
to get a list of all tickers?
Thank you for your time.
Best regards,
Valter
-- Please reply above this line --
>
>
> Hello Valter,
>
> Thank you very much for reaching out.
>
> Based on the code provided, it appears that you are retrieving
data
> from the time-series dataset NSE/OIL instead of the data found
in
> QUOTEMEDIA/PRICES table.
>
> As the EOD product is in a different format, you are required
to use
> the GET_TABLE function.
>
> Here's the code that will return data from the
QUOTEMEDIA/PRICES
> table:
> nasdaqdatalink.ApiConfig.api_key = "xxx"
> data = nasdaqdatalink.get_table('QUOTEMEDIA/PRICES',
ticker='IBM',
> date={'gte':'2022-12-01','lte':'2022-12-28'}, paginate=True)
> print(data)
>
> This will return all available data from the QUOTEMEDIA/PRICES
table
> for the ticker IBM, for the date range 2022-12-01 to
2022-12-28.
>
> To understand the composition of the above code:
>
> * _nasdaqdatalink.get_table _is the function compatible with
the
> Tables API;
> * _QUOTEMEDIA/PRICES_ is the the appropriate database to call;
> * _ticker='IBM'_ is the ticker required;
> * _date={...}_ passes the GTE and LTE operators to specify the
date
> range; and
> * _paginate=True_ (optional) is a parameter used to return data
if
> there are more than 10,000 rows.
>
> To view the full Python documentation for our tables API,
please see:
> https://docs.data.nasdaq.com/docs/python-tables [1] [1]
> Additional usage examples specific to the EOD product may be
viewed in
> the product page's quickstart guide:
> https://data.nasdaq.com/databases/EOD/usage/quickstart/api [2]
[2]
>
> We hope this helps! Please feel free to let us know should you
have
> any additional questions.
>
> Kind regards,
> Kim
>
> Links:
> ------
> [1] https://docs.data.nasdaq.com/docs/python-tables [3]
> [2] https://data.nasdaq.com/databases/EOD/usage/quickstart/api
[4]
>
> KIM LIRA
> Client Success
> Nasdaq Data Link
>
> How would you rate my reply?
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[6]
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[7]
>
>
> > On Wed, Dec 28, 2022 at 6:59 AM EST,
Nasdaq/data-Link-Python
> ***@***.***> wrote:
> >
> > WARNING - EXTERNAL EMAIL; EXERCISE CAUTION.
> >
> > Hello to all,
> >
> > I also have truble getting the data....
> > I have my https://data.nasdaq.com/ [8] [1] account and a
subscription to
> > QUOTEMEDIA/End of Day US Stock Prices.
> >
> > I have truble getting the end of day data for the last
month. Can you
> > please help me, with my code to get the last 30 day data
for IBM,
> > please?
> >
> > In my code below I replaced my API KEY with 'xxx'.
> > Thank you for your time and help.
> > Best regards,
> > Valter
> >
> > My python code:
> >
> > import nasdaqdatalink if __name__ == '__main__':
> > nasdaqdatalink.ApiConfig.api_key = "xxx" data =
> > nasdaqdatalink.get('NSE/OIL') print(data)
> >
> > The result:
> >
> > Open High ... Total Trade Quantity Turnover (Lacs) Date
...
> > 2009-09-30 1096.00 1156.70 ... 19748012.0 223877.07
2009-10-01 1102.00
> > 1173.70 ... 3074254.0 35463.78 2009-10-05 1152.00 1165.90
... 919832.0
> > 10581.13 2009-10-06 1149.80 1157.20 ... 627957.0 7185.90
2009-10-07
> > 1153.80 1160.70 ... 698216.0 8032.98 ... ... ... ... ...
...
> > 2018-12-31 178.10 179.00 ... 761462.0 1343.75 2019-01-01
175.00 176.40
> > ... 381570.0 669.16 2019-01-02 175.80 176.20 ... 722532.0
1251.85
> > 2019-01-03 172.80 175.70 ... 698190.0 1212.34 2019-01-04
172.05 174.95
> > ... 431122.0 749.99 [2299 rows x 7 columns] Process
finished with exit
> > code 0
> >
> > -
> > Reply to this email directly, view it on GitHub [2], or
unsubscribe
> > [3].
> > You are receiving this because you commented.Message ID:
> > ***@***.***>
> > *******************************************
> > CONFIDENTIALITY AND PRIVACY NOTICE: This e-mail and any
attachments
> > are for the exclusive and confidential use of the
intended recipient
> > and may constitute non-public information. Personal data
in this email
> > is governed by our Privacy Policy at
> > https://www.nasdaq.com/privacy-statement [9] [4] unless
explicitly
> > excluded from it; please see the section in the policy
entitled
> > "Situations Where This Privacy Policy Does Not Apply" for
> > circumstances where different privacy terms govern
emailed personal
> > data. If you received this e-mail in error, disclosing,
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e-mail is
> > strictly prohibited and may be unlawful. Instead, please
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> > immediately by return e-mail and promptly delete this
message and its
> > attachments from your computer system. We do not waive
any work
> > product or other applicable legal privilege(s) by the
transmission of
> > this message.
> > *******************************************
> >
> > Links:
> > ------
> > [1] https://data.nasdaq.com/ [10]
> > [2]
> >
>
#31 (comment)
[11]
> > [3]
> >
>
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> >
> >
> >
> >
>
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https://www.nasdaq.com/privacy-statement [16] unless explicitly
excluded from it; please see the section in the policy entitled
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circumstances where different privacy terms govern emailed personal
data. If you received this e-mail in error, disclosing, copying,
distributing or taking any action in reliance of this e-mail is
strictly prohibited and may be unlawful. Instead, please notify us
immediately by return e-mail and promptly delete this message and its
attachments from your computer system. We do not waive any work
product or other applicable legal privilege(s) by the transmission of
this message.
*******************************************
Links:
------
[1] https://docs.data.nasdaq.com/docs/python-tables
[2] https://data.nasdaq.com/databases/EOD/usage/quickstart/api
[3] https://docs.data.nasdaq.com/docs/python-tables
[4] https://data.nasdaq.com/databases/EOD/usage/quickstart/api
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https://secure.helpscout.net/satisfaction/589080097/record/6274470031/1/
[6]
https://secure.helpscout.net/satisfaction/589080097/record/6274470031/2/
[7]
https://secure.helpscout.net/satisfaction/589080097/record/6274470031/3/
[8] https://data.nasdaq.com/
[9] https://www.nasdaq.com/privacy-statement
[10] https://data.nasdaq.com/
[11]
#31 (comment)
[12]
https://github.com/notifications/unsubscribe-auth/AWYQ644UC4NNKEMVJKIRHQ3WPQTQ3ANCNFSM6AAAAAASDWOTGQ
[13] https://www.nasdaq.com/privacy-statement
[14]
#31 (comment)
[15]
https://github.com/notifications/unsubscribe-auth/AWYQ645PQKCJGDW5QALT7BLWPRRNZANCNFSM6AAAAAASDWOTGQ
[16] https://www.nasdaq.com/privacy-statement
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Thank you Kim for your help. Thank you for your time and answers. |
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I am beginner at coding.
Should I store the api key in a json format file? containing the following statement : api_key = XXXXXXXXXXX (my api key)
AND
import nasdaqdatalink
nasdaqdatalink.read_key(filename="/path")
the path begins where my code is located or should I write the full path of the archive?
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