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Handle scenario where historical data is unavailable for the specified date(s)

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moshferatu 2024-11-12 06:33:08 -08:00
parent ace4fe91ea
commit 07b3af1877
1 changed files with 3 additions and 0 deletions
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iqfeed/iqfeed.py
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@ -95,6 +95,9 @@ def get_historical_data(symbol: str, interval: int, date: datetime = None,
data = StringIO(data) data = StringIO(data)
data = pd.read_csv(data, index_col = False, data = pd.read_csv(data, index_col = False,
names=['Date', 'High', 'Low', 'Open', 'Close', 'Total Volume', 'Period Volume']) names=['Date', 'High', 'Low', 'Open', 'Close', 'Total Volume', 'Period Volume'])
if data.empty:
return data
data['Date'] = pd.to_datetime(data['Date']) data['Date'] = pd.to_datetime(data['Date'])
data['Date'] = data['Date'].dt.date data['Date'] = data['Date'].dt.date
return data return data