'NoneType' object has no attribute 'get' error for API data

RCAS99

Hello all,

I am trying to download a list of index constituents using the eikon data API, however, i am getting a 'NoneType' object has no attribute 'get' error for this code :

import eikon as ek

import pandas as pd

from tqdm import tqdm  # Import tqdm for progress tracking

Your Datastream API key

api_key = 'kEY '

Initialize the Eikon API with your API key

ek.set_app_key(api_key)

Define the directory to save data

save_directory = r'Enter your directory'

Define the chain RIC for NYSE and NASDAQ constituents

NYSE = ek.get_data('0#.NYA', fields=['TR.RIC'])[0]

NASDAQ = ek.get_data('0#.IXIC', fields=['TR.RIC'])[0]

Step 1: Merge NYSE and NASDAQ datasets

rics_df = pd.concat([NYSE, NASDAQ], ignore_index=True)

Step 2: Check for duplicates in the RIC column and drop them

rics_df.drop_duplicates(subset=['RIC'], inplace=True)

Step 3: Convert the 'RIC' column to a list

rics = rics_df['RIC'].tolist()

Count the number of items in the rics list

num_items_all = len(rics)

Display the first two and last two items

first_two = rics[:2]  # First two items

last_two = rics[-2:]  # Last two items

Print the results

print(f"Number of items in the rics list: {num_items_all}")

print(f"First two items: {first_two}")

print(f"Last two items: {last_two}")

Can someone help me solve this error? I have also tried to use random code to download data for various instruments and variables, and every time I get this error for the get data.

Best,

Jirapongse

@RCAS99

I can run the code properly.

You can enable logging in the API to verify what the problem is by using the following code (ek.set_log_level).

import eikon as ek

ek.set_log_level(1)

ek.set_app_key('<APP KEY>')

wasin.w

Hello @RCAS99

I can run your code logic successfully with the strategic https://developers.lseg.com/en/api-catalog/lseg-data-platform/lseg-data-library-for-python

Example code (the highlight lines are the lines that need to be changed to match the LSEG data library)

import lseg.data as ld
import pandas as pd

## Open the Data session
ld.open_session()

NYSE = ld.get_data('0#.NYA', fields=['TR.RIC'])
NASDAQ  = ld.get_data('0#.IXIC', fields=['TR.RIC'])

rics_df = pd.concat([NYSE, NASDAQ], ignore_index=True)
rics_df.drop_duplicates(subset=['RIC'], inplace=True)
rics = rics_df['RIC'].tolist()
first_two = rics[:2]  # First two items
last_two = rics[-2:]  # Last two items
print(f"Number of items in the rics list: {num_items_all}")

print(f"First two items: {first_two}")

print(f"Last two items: {last_two}")

Result:

Resources:

• Upgrade from using Eikon Data API to the Data library article
• LSEG Data Library for Python and its Configuration Process article

To let us check the issue in detail, please enable the log as suggested by my colleague.

RCAS99

https://community.developers.refinitiv.com/discussion/comment/123179#Comment_123179

I tried to use your code and i got this

I am using the anaconda online editor.

Thank you in advance.

RCAS99

Thanks, it worked for me as well. However, I am unable to retrieve data for stocks in this code . Can you help me with that?

import pandas as pd

Retrieve data from Chain objects and convert them into listsAdjust the method/attribute according to your API (e.g., .to_list() or .data)

NYSE_list = list(NYSE) # Replace with NYSE.to_list() or similar if necessary
NASDAQ_list = list(NASDAQ) # Replace with NASDAQ.to_list() or similar if necessary
SP500_list = list(SP500) # Replace with SP500.to_list() or similar if necessary
DOWJONES_list = list(DOWJONES) # Replace with DOWJONES.to_list() or similar if necessary

Combine all lists into one and remove duplicates

merged_list = list(set(NYSE_list + NASDAQ_list + SP500_list + DOWJONES_list))

Optionally, sort the merged list (optional step)

merged_list.sort()

Print results

print(f"Merged list ({len(merged_list)} items): {merged_list}")

Save the merged list to a CSV file if needed

output_file = "merged_list.csv"
pd.DataFrame({'RIC': merged_list}).to_csv(output_file, index=False)
print(f"Data saved successfully to {output_file}")

RCAS99

https://community.developers.refinitiv.com/discussion/comment/123180#Comment_123180

Hi, yes now i am able to run the code, however i want to retrieve a unique list of RICS for all this indexes but i am getting errors.

Retrieve data for each index

NYSE=Chain("0#.NYA")
NASDAQ=Chain("0#.IXIC")
SP500=Chain("0#.SPX")
DOWJONES =Chain("0#.DJA")

NYSE = ld.get_data(NYSE, fields=['TR.CUSIP']) # NYSE
NASDAQ = ld.get_data(NASDAQ, fields=['TR.CUSIP']) # NASDAQ
SP500 = ld.get_data(SP500, fields=['TR.CUSIP']) # S&P 500
DOWJONES = ld.get_data(DOWJONES, fields=['TR.CUSIP']) # Dow Jones

csv_file_path=r"path"

Combine all data into a single DataFrame

rics_df = pd.concat([NYSE, NASDAQ, SP500, DOWJONES], ignore_index=True)

Remove duplicates

rics_df.drop_duplicates(subset=['CUSIP'], inplace=True)

Convert to list

rics = rics_df['CUSIP'].tolist()

Extract the first two and last two RICs

first_two = rics[:2]
last_two = rics[-2:]

Print the number of items and the first and last two RICs

print(f"Number of items in the rics list: {len(rics)}")
print(f"First two items: {first_two}")
print(f"Last two items: {last_two}")

#Save the complete DataFrame as a CSV file at the end
rics_df.to_csv(csv_file_path, index=False)

print(f"Final data saved successfully to {csv_file_path}")

Jirapongse

@RCAS99

According to the log, the API is unable to connect to the API Proxy.

Please refer to the Eikon Data API and Refinitiv Data Library - Troubleshooting article to verify what the problem is.

RCAS99

https://community.developers.refinitiv.com/discussion/comment/123205#Comment_123205

@Jirapongse i already have solved that problem thanks. However, can you help me with this code:

import pandas as pd

Retrieve data from Chain objects and convert them into listsAdjust the method/attribute according to your API (e.g., 

.to_list()

 or 

.data

)

NYSE_list = list(NYSE) # Replace with NYSE.to_list() or similar if necessary
NASDAQ_list = list(NASDAQ) # Replace with NASDAQ.to_list() or similar if necessary
SP500_list = list(SP500) # Replace with SP500.to_list() or similar if necessary
DOWJONES_list = list(DOWJONES) # Replace with DOWJONES.to_list() or similar if necessary

Combine all lists into one and remove duplicates

merged_list = list(set(NYSE_list + NASDAQ_list + SP500_list + DOWJONES_list))

Optionally, sort the merged list (optional step)

merged_list.sort()

Print results

print(f"Merged list ({len(merged_list)} items): {merged_list}")

Save the merged list to a CSV file if needed

output_file = "merged_list.csv"
pd.DataFrame({'RIC': merged_list}).to_csv(output_file, index=False)
print(f"Data saved successfully to {output_file}")

Jirapongse

@RCAS99

Please explain more about the issue.

To get a list of RICs from Chain, you can use the constituents property.

NYSE=Chain("0#.NYA")

NYSE.constituents