Prices fix: improve handling empty data

Author: ValueRaider

yfinance/scrapers/history.py

@@ -406,10 +406,11 @@ def history(self, period="1mo", interval="1d",
             df = self._fix_bad_div_adjust(df, interval, currency)
 
             # Need the latest/last row to be repaired before 100x/split repair:
-            df_last = self._fix_zeroes(df.iloc[-1:], interval, tz_exchange, prepost)
-            if 'Repaired?' not in df.columns:
-                df['Repaired?'] = False
-            df = pd.concat([df.drop(df.index[-1]), df_last])
+            if not df.empty:
+                df_last = self._fix_zeroes(df.iloc[-1:], interval, tz_exchange, prepost)
+                if 'Repaired?' not in df.columns:
+                    df['Repaired?'] = False
+                df = pd.concat([df.drop(df.index[-1]), df_last])
 
             df = self._fix_unit_mixups(df, interval, tz_exchange, prepost)
             df = self._fix_bad_stock_splits(df, interval, tz_exchange)

yfinance/utils.py

@@ -529,23 +529,23 @@ def parse_actions(data):
     splits = None
 
     if "events" in data:
-        if "dividends" in data["events"]:
+        if "dividends" in data["events"] and len(data["events"]['dividends']) > 0:
             dividends = _pd.DataFrame(
                 data=list(data["events"]["dividends"].values()))
             dividends.set_index("date", inplace=True)
             dividends.index = _pd.to_datetime(dividends.index, unit="s")
             dividends.sort_index(inplace=True)
             dividends.columns = ["Dividends"]
 
-        if "capitalGains" in data["events"]:
+        if "capitalGains" in data["events"] and len(data["events"]['capitalGains']) > 0:
             capital_gains = _pd.DataFrame(
                 data=list(data["events"]["capitalGains"].values()))
             capital_gains.set_index("date", inplace=True)
             capital_gains.index = _pd.to_datetime(capital_gains.index, unit="s")
             capital_gains.sort_index(inplace=True)
             capital_gains.columns = ["Capital Gains"]
 
-        if "splits" in data["events"]:
+        if "splits" in data["events"] and len(data["events"]['splits']) > 0:
             splits = _pd.DataFrame(
                 data=list(data["events"]["splits"].values()))
             splits.set_index("date", inplace=True)