Comments (3)
That's a question for Yahoo I guess. lol
from yfinance.
Should I filter on my side?
Thanks
from yfinance.
I've created a function to validate the dataframe, just in case anyone needs it, follows below:
def validatedataframe(startdate,df):
try:
for index, row in df.iterrows():
if left(str(index),10) < left(str(startdate),10):
print("Index removed " + left(str(index),10) + " for being earlier to " + left(str(startdate),10),1)
df.drop(index, inplace=True)
except Exception as err:
print("Error: " + inspect.stack()[0][3] + ": Validate Function Failed - " + str(err),0)
return df;
return df;
from yfinance.
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from yfinance.