Fix date parsing, timezone, and type errors in Yahoo collector#2118
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Ayush10 wants to merge 1 commit intomicrosoft:mainfrom
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Fix date parsing, timezone, and type errors in Yahoo collector#2118Ayush10 wants to merge 1 commit intomicrosoft:mainfrom
Ayush10 wants to merge 1 commit intomicrosoft:mainfrom
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- Use pd.to_datetime(utc=True) + tz_convert(None) to handle mixed date formats and timezone-aware/naive inputs in pandas >= 2.0 - Add pd.to_numeric(errors="coerce") before arithmetic on columns that may contain string data from CSV reads - Apply same utc=True fix in base.py Normalize._executor date filtering Fixes microsoft#1981
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Summary
ValueErroron mixed date formats (YYYY-MM-DDvsYYYY-MM-DD HH:MM:SS) by usingpd.to_datetime(utc=True)which handles mixed formats across all pandas versionsAttributeError: 'Index' object has no attribute 'tz_localize'by switching totz_convert(None)afterutc=TrueconversionTypeError: unsupported operand type(s) for /: 'str' and 'float'by addingpd.to_numeric(errors="coerce")before arithmetic operations on columns that may contain string data from CSV readsChanges
scripts/data_collector/yahoo/collector.py: Fixnormalize_yahoodate handling (lines 395-396), add numeric coercion inadjusted_priceand_manual_adj_datascripts/data_collector/base.py: FixNormalize._executordate filtering (line 308)Test plan
fillna(method="ffill")deprecation warning mentioned in the issue is already fixed in the current codebase (.ffill()is used)--skip_downloadare feature requests beyond the scope of this bug fix PRFixes #1981