From c894b9e5954d60b4207d23b6f794fbda00f624ba Mon Sep 17 00:00:00 2001 From: ValueRaider Date: Thu, 18 Jul 2024 21:07:55 +0100 Subject: [PATCH] Price repair: fix 2x syntax errors --- yfinance/scrapers/history.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/yfinance/scrapers/history.py b/yfinance/scrapers/history.py index a94247b34..706868d31 100644 --- a/yfinance/scrapers/history.py +++ b/yfinance/scrapers/history.py @@ -867,6 +867,7 @@ def _fix_unit_random_mixups(self, df, interval, tz_exchange, prepost): df_orig = df[~f_zeroes] # all row slicing must be applied to both df and df2 else: df2_zeroes = None + df_orig = df if df2.shape[0] <= 1: logger.info("price-repair-100x: Insufficient good data for detecting 100x price errors") if "Repaired?" not in df.columns: @@ -1073,7 +1074,8 @@ def _fix_zeroes(self, df, interval, tz_exchange, prepost): for i in range(len(price_cols)): c = price_cols[i] df2.loc[f_prices_bad[:, i], c] = tag - df2.loc[f_vol_bad, "Volume"] = tag + if f_vol_bad is not None: + df2.loc[f_vol_bad, "Volume"] = tag # If volume=0 or NaN for bad prices, then tag volume for repair f_vol_zero_or_nan = (df2["Volume"].to_numpy() == 0) | (df2["Volume"].isna().to_numpy()) df2.loc[f_prices_bad.any(axis=1) & f_vol_zero_or_nan, "Volume"] = tag