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PFurst2000 avatar PFurst2000 commented on May 26, 2024

I think my issue is similar to ticket #21 concerning downloading only annual data. Would you please provide a sample script for collecting annual data only and ignoring errors? I would hope to have this query run where null or n/a values do not halt the running of the script and are identified in the output data. For the below script I confirmed that the data is available for the county in question (Madison, NY) for the industry levels requested. However, running it produces the following error: TypeError: get_series() got an unexpected keyword argument 'annualaverages'

Thank you,

from functools import reduce
import pandas as pd
import matplotlib as plt
import numpy as np
import bls
bls.get_series(["ENU3605310531-33", "ENU3605310542"], annualaverages=True, errors="ignore")
Test = bls.get_series('ENU3605310531-33', annualaverages=True, errors="ignore")

from bls.

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