Replace empty list with empty pd.Series

requirements.txt

@@ -8,4 +8,4 @@ pytz>=2022.5
 frozendict>=2.3.4
 beautifulsoup4>=4.11.1
 html5lib>=1.1
-peewee>=3.16.2
+peewee>=3.16.2

tests/ticker.py

@@ -112,8 +112,24 @@ def test_badTicker(self):
             dat.fast_info[k]
 
         for attribute_name, attribute_type in ticker_attributes:
-            assert_attribute_type(self, dat, attribute_name, attribute_type) 
-
+            assert_attribute_type(self, dat, attribute_name, attribute_type)
+
+        with self.assertRaises(YFNotImplementedError):
+            assert isinstance(dat.earnings, pd.Series)
+            assert dat.earnings.empty
+        assert isinstance(dat.dividends, pd.Series)
+        assert dat.dividends.empty
+        assert isinstance(dat.splits, pd.Series)
+        assert dat.splits.empty
+        assert isinstance(dat.capital_gains, pd.Series)
+        assert dat.capital_gains.empty
+        with self.assertRaises(YFNotImplementedError):
+            assert isinstance(dat.shares, pd.DataFrame)
+            assert dat.shares.empty
+        assert isinstance(dat.actions, pd.DataFrame)
+        assert dat.actions.empty
+
+
     def test_goodTicker(self):
         # that yfinance works when full api is called on same instance of ticker
 

yfinance/base.py

@@ -27,7 +27,7 @@
 import logging
 import time as _time
 import warnings
-from typing import Optional
+from typing import Optional, Union
 from urllib.parse import quote as urlencode
 
 import dateutil as _dateutil
@@ -1916,7 +1916,7 @@ def get_balance_sheet(self, proxy=None, as_dict=False, pretty=False, freq="yearl
     def get_balancesheet(self, proxy=None, as_dict=False, pretty=False, freq="yearly"):
         return self.get_balance_sheet(proxy, as_dict, pretty, freq)
 
-    def get_cash_flow(self, proxy=None, as_dict=False, pretty=False, freq="yearly"):
+    def get_cash_flow(self, proxy=None, as_dict=False, pretty=False, freq="yearly") -> Union[pd.DataFrame, dict]:
         """
         :Parameters:
             as_dict: bool
@@ -1946,31 +1946,31 @@ def get_cash_flow(self, proxy=None, as_dict=False, pretty=False, freq="yearly"):
     def get_cashflow(self, proxy=None, as_dict=False, pretty=False, freq="yearly"):
         return self.get_cash_flow(proxy, as_dict, pretty, freq)
 
-    def get_dividends(self, proxy=None):
+    def get_dividends(self, proxy=None) -> pd.Series:
         if self._history is None:
             self.history(period="max", proxy=proxy)
         if self._history is not None and "Dividends" in self._history:
             dividends = self._history["Dividends"]
             return dividends[dividends != 0]
-        return []
+        return pd.Series()
 
-    def get_capital_gains(self, proxy=None):
+    def get_capital_gains(self, proxy=None) -> pd.Series:
         if self._history is None:
             self.history(period="max", proxy=proxy)
         if self._history is not None and "Capital Gains" in self._history:
             capital_gains = self._history["Capital Gains"]
             return capital_gains[capital_gains != 0]
-        return []
+        return pd.Series()
 
-    def get_splits(self, proxy=None):
+    def get_splits(self, proxy=None) -> pd.Series:
         if self._history is None:
             self.history(period="max", proxy=proxy)
         if self._history is not None and "Stock Splits" in self._history:
             splits = self._history["Stock Splits"]
             return splits[splits != 0]
-        return []
+        return pd.Series()
 
-    def get_actions(self, proxy=None):
+    def get_actions(self, proxy=None) -> pd.DataFrame:
         if self._history is None:
             self.history(period="max", proxy=proxy)
         if self._history is not None and "Dividends" in self._history and "Stock Splits" in self._history:
@@ -1979,9 +1979,9 @@ def get_actions(self, proxy=None):
                 action_columns.append("Capital Gains")
             actions = self._history[action_columns]
             return actions[actions != 0].dropna(how='all').fillna(0)
-        return []
+        return pd.DataFrame()
 
-    def get_shares(self, proxy=None, as_dict=False):
+    def get_shares(self, proxy=None, as_dict=False) -> Union[pd.DataFrame, dict]:
         self._fundamentals.proxy = proxy or self.proxy
         data = self._fundamentals.shares
         if as_dict:
@@ -2078,7 +2078,7 @@ def get_isin(self, proxy=None) -> Optional[str]:
         self._isin = data.split(search_str)[1].split('"')[0].split('|')[0]
         return self._isin
 
-    def get_news(self, proxy=None):
+    def get_news(self, proxy=None) -> list:
         if self._news:
             return self._news
 

yfinance/ticker.py

@@ -134,7 +134,7 @@ def dividends(self) -> _pd.Series:
         return self.get_dividends()
 
     @property
-    def capital_gains(self):
+    def capital_gains(self) -> _pd.Series:
         return self.get_capital_gains()
 
     @property
@@ -146,7 +146,7 @@ def actions(self) -> _pd.DataFrame:
         return self.get_actions()
 
     @property
-    def shares(self) -> _pd.DataFrame :
+    def shares(self) -> _pd.DataFrame:
         return self.get_shares()
 
     @property
@@ -259,7 +259,7 @@ def options(self) -> tuple:
         return tuple(self._expirations.keys())
 
     @property
-    def news(self):
+    def news(self) -> list:
         return self.get_news()
 
     @property