README: add new 'sustainability' attribute

dev -> main

.github/ISSUE_TEMPLATE/bug_report.yaml

@@ -6,23 +6,13 @@ body:
   - type: markdown
     attributes:
       value: |
-        # IMPORTANT - Read and follow these instructions carefully. Help us help you.
-
-        ### Does issue already exist?
-
-        Use the search tool. Don't annoy everyone by duplicating existing Issues.
+        # !!! IMPORTANT !!! FOLLOW THESE INSTRUCTIONS CAREFULLY !!!
 
         ### Are you up-to-date?
 
-        Upgrade to the latest version and confirm the issue/bug is still there.
+        Upgrade to the latest version: `$ pip install yfinance --upgrade --no-cache-dir`
 
-        `$ pip install yfinance --upgrade --no-cache-dir`
-
-        Confirm by running:
-
-        `import yfinance as yf ; print(yf.__version__)`
-
-        and comparing against [PIP](https://pypi.org/project/yfinance/#history).
+        Confirm latest version by running: `import yfinance as yf ; print(yf.__version__)` and comparing against [PyPI](https://pypi.org/project/yfinance/#history).
 
         ### Does Yahoo actually have the data?
 
@@ -34,6 +24,10 @@ body:
 
         Yahoo Finance free service has rate-limiting https://github.com/ranaroussi/yfinance/discussions/1513. Once limit hit, Yahoo can delay, block, or return bad data -> not a `yfinance` bug.
         
+        ### Does issue already exist?
+
+        Use the search tool. Don't duplicate existing issues.
+        
   - type: markdown
     attributes:
       value: |
@@ -61,7 +55,7 @@ body:
     id: debug-log
     attributes:
       label: "Debug log"
-      description: "Run code with debug logging enabled and post the full output. Instructions: https://github.com/ranaroussi/yfinance/tree/main#logging"
+      description: "Run code with debug logging enabled and post the full output. IMPORTANT INSTRUCTIONS: https://github.com/ranaroussi/yfinance/tree/main#logging"
     validations:
       required: true
 

.github/workflows/ci.yml

@@ -8,11 +8,11 @@ jobs:
   deploy:
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v2
-      - uses: actions/setup-python@v2
+      - uses: actions/checkout@v4
+      - uses: actions/setup-python@v4
         with:
           python-version: 3.x
       - run: pip install -r requirements.txt
       - run: pip install mkdocstrings==0.14.0
       - run: pip install mkdocs-material
-      - run: mkdocs gh-deploy --force
+      - run: mkdocs gh-deploy --force

.gitignore

@@ -10,6 +10,7 @@ build/
 *.html
 *.css
 *.png
+test.ipynb
 
 # Environments
 .env

CHANGELOG.rst

@@ -1,6 +1,61 @@
 Change Log
 ===========
 
+0.2.41
+------
+Improvements:
+- add keys to financials #1965 #1985
+- fetch Sustainability #1959
+- improve price-repair-zeroes #1990
+Fixes (prices):
+- fetching when period='max' #1967
+- metadata: Fix '1wk is invalid' & repeated calls #1970
+- Pandas warnings #1955 #1981
+- price repair syntax errors #1989
+Maintenance:
+- deprecate Ticker.earnings #1977
+
+0.2.40
+------
+Fix typo in 0.2.39 c7af213
+
+0.2.39
+------
+Fixes:
+- Fix switching session from/to requests_cache #1930
+Price repair:
+- Fix potential for price repair to discard price=0 rows #1874
+- Don't price-repair FX volume=0, is normal #1920
+- Improve 'sudden change' repair for splits & currency  #1931
+Information:
+- Fix help(yf.download) not showing the information about the function #1913 @vittoboa
+- Add more specific error throwing based on PR 1918 #1928 @elibroftw @marcofognog
+Maintenance:
+- Replace dead 'appdirs' package with 'platformdirs' #1896
+- Deprecate 'pandas_datareader', remove a deprecated argument #1897
+- Fix: datetime.datetime.utcnow() is deprecated ... #1922
+
+0.2.38
+------
+Fix holders & insiders #1908
+
+0.2.37
+------
+Small fixes:
+- Fix Pandas warnings #1838 #1844
+- Fix price repair bug, typos, refactor #1866 #1865 #1849
+- Stop disabling logging #1841
+
+0.2.36
+------
+Small fixes:
+- Update README.md for better copy-ability  #1823 
+- Name download() column levels  #1795 
+- Fix history(keepna=False) when repair=True  #1824 
+- Replace empty list with empty pd.Series  #1724 
+- Handle peewee with old sqlite  #1827 
+- Fix JSON error handling  #1830 #1833
+
 0.2.35
 ------
 Internal fixes for 0.2.34

README.md

@@ -42,6 +42,14 @@ Yahoo! finance API is intended for personal use only.**
 
 ---
 
+- [Installation](#installation)
+- [Quick start](#quick-start)
+- [Advanced](#logging)
+- [Wiki](https://github.com/ranaroussi/yfinance/wiki)
+- [Contribute](#developers-want-to-contribute)
+
+---
+
 ## Installation
 
 Install `yfinance` using `pip`:
@@ -55,7 +63,7 @@ $ pip install yfinance --upgrade --no-cache-dir
 To install with optional dependencies, replace `optional` with: `nospam` for [caching-requests](#smarter-scraping), `repair` for [price repair](https://github.com/ranaroussi/yfinance/wiki/Price-repair), or `nospam,repair` for both:
 
 ``` {.sourceCode .bash}
-$ pip install yfinance[optional]
+$ pip install "yfinance[optional]"
 ```
 
 [Required dependencies](./requirements.txt) , [all dependencies](./setup.py#L62).
@@ -111,12 +119,14 @@ msft.insider_transactions
 msft.insider_purchases
 msft.insider_roster_holders
 
+msfs.sustainability
+
 # show recommendations
 msft.recommendations
 msft.recommendations_summary
 msft.upgrades_downgrades
 
-# Show future and historic earnings dates, returns at most next 4 quarters and last 8 quarters by default. 
+# Show future and historic earnings dates, returns at most next 4 quarters and last 8 quarters by default.
 # Note: If more are needed use msft.get_earnings_dates(limit=XX) with increased limit argument.
 msft.earnings_dates
 
@@ -183,7 +193,7 @@ data = yf.download("SPY AAPL", period="1mo")
 
 ### Smarter scraping
 
-Install the `nospam` packages for smarter scraping using `pip` (see [Installation](#installation)). These packages help cache calls such that Yahoo is not spammed with requests. 
+Install the `nospam` packages for smarter scraping using `pip` (see [Installation](#installation)). These packages help cache calls such that Yahoo is not spammed with requests.
 
 To use a custom `requests` session, pass a `session=` argument to
 the Ticker constructor. This allows for caching calls to the API as well as a custom way to modify requests via  the `User-agent` header.
@@ -228,31 +238,16 @@ yfinance?](https://stackoverflow.com/questions/63107801)
         -   How to download single or multiple tickers into a single
             dataframe with single level column names and a ticker column
 
-### `pandas_datareader` override
-
-If your code uses `pandas_datareader` and you want to download data
-faster, you can "hijack" `pandas_datareader.data.get_data_yahoo()`
-method to use **yfinance** while making sure the returned data is in the
-same format as **pandas\_datareader**'s `get_data_yahoo()`.
-
-```python
-from pandas_datareader import data as pdr
-
-import yfinance as yf
-yf.pdr_override() # <== that's all it takes :-)
-
-# download dataframe
-data = pdr.get_data_yahoo("SPY", start="2017-01-01", end="2017-04-30")
-```
-
 ### Persistent cache store
 
 To reduce Yahoo, yfinance store some data locally: timezones to localize dates, and cookie. Cache location is:
+
 - Windows = C:/Users/\<USER\>/AppData/Local/py-yfinance
 - Linux = /home/\<USER\>/.cache/py-yfinance
 - MacOS = /Users/\<USER\>/Library/Caches/py-yfinance
 
 You can direct cache to use a different location with `set_tz_cache_location()`:
+
 ```python
 import yfinance as yf
 yf.set_tz_cache_location("custom/cache/location")
@@ -279,7 +274,7 @@ intended for research and educational purposes. You should refer to Yahoo!'s ter
 ([here](https://policies.yahoo.com/us/en/yahoo/terms/product-atos/apiforydn/index.htm),
 [here](https://legal.yahoo.com/us/en/yahoo/terms/otos/index.html), and
 [here](https://policies.yahoo.com/us/en/yahoo/terms/index.htm)) for
-detailes on your rights to use the actual data downloaded.
+details on your rights to use the actual data downloaded.
 
 ---
 

meta.yaml

@@ -1,5 +1,5 @@
 {% set name = "yfinance" %}
-{% set version = "0.2.35" %}
+{% set version = "0.2.41" %}
 
 package:
   name: "{{ name|lower }}"
@@ -21,7 +21,7 @@ requirements:
     - requests >=2.31
     - multitasking >=0.0.7
     - lxml >=4.9.1
-    - appdirs >=1.4.4
+    - platformdirs >=2.0.0
     - pytz >=2022.5
     - frozendict >=2.3.4
     - beautifulsoup4 >=4.11.1
@@ -37,7 +37,7 @@ requirements:
     - requests >=2.31
     - multitasking >=0.0.7
     - lxml >=4.9.1
-    - appdirs >=1.4.4
+    - platformdirs >=2.0.0
     - pytz >=2022.5
     - frozendict >=2.3.4
     - beautifulsoup4 >=4.11.1

requirements.txt

@@ -3,9 +3,9 @@ numpy>=1.16.5
 requests>=2.31
 multitasking>=0.0.7
 lxml>=4.9.1
-appdirs>=1.4.4
+platformdirs>=2.0.0
 pytz>=2022.5
 frozendict>=2.3.4
 beautifulsoup4>=4.11.1
 html5lib>=1.1
-peewee>=3.16.2
+peewee>=3.16.2

setup.py

@@ -61,7 +61,7 @@ setup(
     packages=find_packages(exclude=['contrib', 'docs', 'tests', 'examples']),
     install_requires=['pandas>=1.3.0', 'numpy>=1.16.5',
                       'requests>=2.31', 'multitasking>=0.0.7',
-                      'lxml>=4.9.1', 'appdirs>=1.4.4', 'pytz>=2022.5',
+                      'lxml>=4.9.1', 'platformdirs>=2.0.0', 'pytz>=2022.5',
                       'frozendict>=2.3.4', 'peewee>=3.16.2',
                       'beautifulsoup4>=4.11.1', 'html5lib>=1.1'],
     extras_require={

tests/__init__.py

@@ -1 +0,0 @@
-#!/usr/bin/env python

tests/context.py

@@ -1,6 +1,6 @@
 # -*- coding: utf-8 -*-
 
-import appdirs as _ad
+import platformdirs as _ad
 import datetime as _dt
 import sys
 import os

tests/data/AV-L-1wk-bad-stock-split-fixed.csv

@@ -1,27 +1,27 @@
 Date,Open,High,Low,Close,Adj Close,Volume,Dividends,Stock Splits
-2021-12-13 00:00:00+00:00,393.999975585938,406.6,391.4,402.899916992188,291.232287597656,62714764.4736842,0,0
-2021-12-20 00:00:00+00:00,393.999975585938,412.199990234375,392.502983398438,409.899997558594,296.292243652344,46596651.3157895,0,0
-2021-12-27 00:00:00+00:00,409.899997558594,416.550971679688,408.387001953125,410.4,296.653642578125,10818482.8947368,0,0
-2022-01-03 00:00:00+00:00,410.4,432.199995117188,410.4,432.099985351563,312.339265136719,44427327.6315789,0,0
-2022-01-10 00:00:00+00:00,431.3,439.199982910156,429.099970703125,436.099912109375,315.230618896484,29091400,0,0
-2022-01-17 00:00:00+00:00,437.999912109375,445.199965820313,426.999997558594,431.999975585938,312.267017822266,43787351.3157895,0,0
-2022-01-24 00:00:00+00:00,430.099975585938,440.999973144531,420.999968261719,433.499982910156,313.351237792969,58487296.0526316,0,0
-2022-01-31 00:00:00+00:00,436.199968261719,443.049987792969,432.099985351563,435.199916992188,314.580045166016,43335806.5789474,0,0
-2022-02-07 00:00:00+00:00,437.899995117188,448.799992675781,436.051994628906,444.39998046875,321.230207519531,39644061.8421053,0,0
-2022-02-14 00:00:00+00:00,437.699975585938,441.999978027344,426.699968261719,432.199995117188,312.411558837891,49972693.4210526,0,0
-2022-02-21 00:00:00+00:00,435.499992675781,438.476999511719,408.29998046875,423.399970703125,306.050571289063,65719596.0526316,0,0
-2022-02-28 00:00:00+00:00,415.099995117188,427.999909667969,386.199932861328,386.799945068359,279.594578857422,94057936.8421053,4.1875,0
-2022-03-07 00:00:00+00:00,374.999952392578,417.299978027344,361.101981201172,409.599968261719,298.389248046875,71269101.3157895,0,0
-2022-03-14 00:00:00+00:00,413.099985351563,426.699968261719,408.899992675781,422.399965820313,307.713929443359,55431927.6315789,0,0
-2022-03-21 00:00:00+00:00,422.699995117188,442.7,422.399965820313,437.799985351563,318.932696533203,39896352.6315789,0,0
-2022-03-28 00:00:00+01:00,442.49998046875,460.999978027344,440.097983398438,444.6,323.886403808594,56413515.7894737,0,0
-2022-04-04 00:00:00+01:00,439.699985351563,445.399985351563,421.999973144531,425.799973144531,310.190817871094,49415836.8421053,19.342106,0
-2022-04-11 00:00:00+01:00,425.39998046875,435.599909667969,420.799995117188,434.299968261719,327.211427001953,29875081.5789474,0,0
-2022-04-18 00:00:00+01:00,434.299968261719,447.799987792969,433.599992675781,437.799985351563,329.848419189453,49288272.3684211,0,0
-2022-04-25 00:00:00+01:00,430.699987792969,438.799990234375,423.999982910156,433.299916992188,326.457967529297,44656776.3157895,0,0
-2022-05-02 00:00:00+01:00,433.299916992188,450.999975585938,414.499982910156,414.899975585938,312.595018310547,29538167.1052632,0,0
-2022-05-09 00:00:00+01:00,413.199995117188,417.449992675781,368.282923583984,408.199970703125,307.547099609375,73989611.8421053,0,0
-2022-05-16 00:00:00+01:00,384,423.600006103516,384,412.100006103516,310.485473632813,81938261,101.69,0.76
+2021-12-13 00:00:00+00:00,518.421020507813,535,515,530.131469726563,383.200378417969,47663221,0,0
+2021-12-20 00:00:00+00:00,518.421020507813,542.368408203125,516.451293945313,539.342102050781,389.858215332031,35413455,0,0
+2021-12-27 00:00:00+00:00,539.342102050781,548.093383789063,537.351318359375,540,390.333740234375,8222047,0,0
+2022-01-03 00:00:00+00:00,540,568.684204101563,540,568.552612304688,410.972717285156,33764769,0,0
+2022-01-10 00:00:00+00:00,567.5,577.894714355469,564.605224609375,573.815673828125,414.777130126953,22109464,0,0
+2022-01-17 00:00:00+00:00,576.315673828125,585.789428710938,561.842102050781,568.421020507813,410.877655029297,33278387,0,0
+2022-01-24 00:00:00+00:00,565.921020507813,580.263122558594,553.947326660156,570.394714355469,412.304260253906,44450345,0,0
+2022-01-31 00:00:00+00:00,573.947326660156,582.960510253906,568.552612304688,572.631469726563,413.921112060547,32935213,0,0
+2022-02-07 00:00:00+00:00,576.184204101563,590.526306152344,573.752624511719,584.73681640625,422.671325683594,30129487,0,0
+2022-02-14 00:00:00+00:00,575.921020507813,581.578918457031,561.447326660156,568.684204101563,411.067840576172,37979247,0,0
+2022-02-21 00:00:00+00:00,573.026306152344,576.943420410156,537.23681640625,557.105224609375,402.698120117188,49946893,0,0
+2022-02-28 00:00:00+00:00,546.184204101563,563.157775878906,508.157806396484,508.947296142578,367.887603759766,71484032,4.1875,0
+2022-03-07 00:00:00+00:00,493.420989990234,549.078918457031,475.134185791016,538.947326660156,392.617431640625,54164517,0,0
+2022-03-14 00:00:00+00:00,543.552612304688,561.447326660156,538.026306152344,555.789428710938,404.886749267578,42128265,0,0
+2022-03-21 00:00:00+00:00,556.184204101563,582.5,555.789428710938,576.052612304688,419.648284912109,30321228,0,0
+2022-03-28 00:00:00+01:00,582.23681640625,606.578918457031,579.076293945313,585,426.166320800781,42874272,0,0
+2022-04-04 00:00:00+01:00,578.552612304688,586.052612304688,555.263122558594,560.263122558594,408.145812988281,37556036,19.342106,0
+2022-04-11 00:00:00+01:00,559.73681640625,573.157775878906,553.684204101563,571.447326660156,430.541351318359,22705062,0,0
+2022-04-18 00:00:00+01:00,571.447326660156,589.210510253906,570.526306152344,576.052612304688,434.011077880859,37459087,0,0
+2022-04-25 00:00:00+01:00,566.710510253906,577.368408203125,557.894714355469,570.131469726563,429.549957275391,33939150,0,0
+2022-05-02 00:00:00+01:00,570.131469726563,593.421020507813,545.394714355469,545.921020507813,411.309234619141,22449007,0,0
+2022-05-09 00:00:00+01:00,543.684204101563,549.276306152344,484.582794189453,537.105224609375,404.667236328125,56232105,0,0
+2022-05-16 00:00:00+01:00,505.263157894737,557.368429083573,505.263157894737,542.236850136205,408.533517937911,62273078.36,101.69,0.76
 2022-05-23 00:00:00+01:00,416.100006103516,442.399993896484,341.915008544922,440.899993896484,409.764678955078,45432941,0,0
 2022-05-30 00:00:00+01:00,442.700012207031,444.200012207031,426.600006103516,428.700012207031,398.426239013672,37906659,0,0
 2022-06-06 00:00:00+01:00,425.299987792969,434.010009765625,405.200012207031,405.399993896484,376.771606445313,40648810,0,0

tests/test_prices.py

@@ -43,14 +43,14 @@ class TestPriceHistory(unittest.TestCase):
 
             df_tkrs = df.columns.levels[1]
             self.assertEqual(sorted(tkrs), sorted(df_tkrs))
-    
+
     def test_download_with_invalid_ticker(self):
         #Checks if using an invalid symbol gives the same output as not using an invalid symbol in combination with a valid symbol (AAPL)
         #Checks to make sure that invalid symbol handling for the date column is the same as the base case (no invalid symbols)
 
         invalid_tkrs = ["AAPL", "ATVI"] #AAPL exists and ATVI does not exist
         valid_tkrs = ["AAPL", "INTC"] #AAPL and INTC both exist
-        
+
         data_invalid_sym = yf.download(invalid_tkrs, start='2023-11-16', end='2023-11-17')
         data_valid_sym = yf.download(valid_tkrs, start='2023-11-16', end='2023-11-17')
 
@@ -62,7 +62,7 @@ class TestPriceHistory(unittest.TestCase):
             dat = yf.Ticker(tkr, session=self.session)
             tz = dat._get_ticker_tz(proxy=None, timeout=None)
 
-            dt_utc = _tz.timezone("UTC").localize(_dt.datetime.utcnow())
+            dt_utc = _pd.Timestamp.utcnow()
             dt = dt_utc.astimezone(_tz.timezone(tz))
             start_d = dt.date() - _dt.timedelta(days=7)
             df = dat.history(start=start_d, interval="1h")
@@ -82,7 +82,7 @@ class TestPriceHistory(unittest.TestCase):
             dat = yf.Ticker(tkr, session=self.session)
             tz = dat._get_ticker_tz(proxy=None, timeout=None)
 
-            dt_utc = _tz.timezone("UTC").localize(_dt.datetime.utcnow())
+            dt_utc = _pd.Timestamp.utcnow()
             dt = dt_utc.astimezone(_tz.timezone(tz))
             if dt.time() < _dt.time(17, 0):
                 continue
@@ -277,7 +277,7 @@ class TestPriceHistory(unittest.TestCase):
         # Reproduce issue #1634 - 1d dividend out-of-range, should be prepended to prices
         div_dt = _pd.Timestamp(2022, 7, 21).tz_localize("America/New_York")
         df_dividends = _pd.DataFrame(data={"Dividends":[1.0]}, index=[div_dt])
-        df_prices = _pd.DataFrame(data={c:[1.0] for c in yf.const.price_colnames}|{'Volume':0}, index=[div_dt+_dt.timedelta(days=1)])
+        df_prices = _pd.DataFrame(data={c:[1.0] for c in yf.const._PRICE_COLNAMES_}|{'Volume':0}, index=[div_dt+_dt.timedelta(days=1)])
         df_merged = yf.utils.safe_merge_dfs(df_prices, df_dividends, '1d')
         self.assertEqual(df_merged.shape[0], 2)
         self.assertTrue(df_merged[df_prices.columns].iloc[1:].equals(df_prices))
@@ -359,13 +359,6 @@ class TestPriceHistory(unittest.TestCase):
         dfd_divs = dfd[dfd['Dividends'] != 0]
         self.assertEqual(dfm_divs.shape[0], dfd_divs.shape[0])
 
-        dfm = yf.Ticker("F").history(period="50mo", interval="1mo")
-        dfd = yf.Ticker("F").history(period="50mo", interval="1d")
-        dfd = dfd[dfd.index > dfm.index[0]]
-        dfm_divs = dfm[dfm['Dividends'] != 0]
-        dfd_divs = dfd[dfd['Dividends'] != 0]
-        self.assertEqual(dfm_divs.shape[0], dfd_divs.shape[0])
-
     def test_tz_dst_ambiguous(self):
         # Reproduce issue #1100
         try:
@@ -470,6 +463,18 @@ class TestPriceRepair(unittest.TestCase):
         if cls.session is not None:
             cls.session.close()
 
+    def test_types(self):
+        tkr = 'INTC'
+        dat = yf.Ticker(tkr, session=self.session)
+
+        data = dat.history(period="3mo", interval="1d", prepost=True, repair=True)
+        self.assertIsInstance(data, _pd.DataFrame, "data has wrong type")
+        self.assertFalse(data.empty, "data is empty")
+
+        reconstructed = dat._lazy_load_price_history()._reconstruct_intervals_batch(data, "1wk", True)
+        self.assertIsInstance(reconstructed, _pd.DataFrame, "data has wrong type")
+        self.assertFalse(data.empty, "data is empty")
+
     def test_reconstruct_2m(self):
         # 2m repair requires 1m data.
         # Yahoo restricts 1m fetches to 7 days max within last 30 days.
@@ -494,6 +499,7 @@ class TestPriceRepair(unittest.TestCase):
         tkr = "PNL.L"
         dat = yf.Ticker(tkr, session=self.session)
         tz_exchange = dat.fast_info["timezone"]
+        hist = dat._lazy_load_price_history()
 
         data_cols = ["Low", "High", "Open", "Close", "Adj Close"]
         df = _pd.DataFrame(data={"Open":      [470.5, 473.5, 474.5, 470],
@@ -517,7 +523,7 @@ class TestPriceRepair(unittest.TestCase):
 
         # Run test
 
-        df_repaired = dat._fix_unit_random_mixups(df_bad, "1wk", tz_exchange, prepost=False)
+        df_repaired = hist._fix_unit_random_mixups(df_bad, "1wk", tz_exchange, prepost=False)
 
         # First test - no errors left
         for c in data_cols:
@@ -548,6 +554,7 @@ class TestPriceRepair(unittest.TestCase):
         tkr = "PNL.L"
         dat = yf.Ticker(tkr, session=self.session)
         tz_exchange = dat.fast_info["timezone"]
+        hist = dat._lazy_load_price_history()
 
         data_cols = ["Low", "High", "Open", "Close", "Adj Close"]
         df = _pd.DataFrame(data={"Open":      [400,    398,    392.5,  417],
@@ -574,7 +581,7 @@ class TestPriceRepair(unittest.TestCase):
         df.index = df.index.tz_localize(tz_exchange)
         df_bad.index = df_bad.index.tz_localize(tz_exchange)
 
-        df_repaired = dat._fix_unit_random_mixups(df_bad, "1wk", tz_exchange, prepost=False)
+        df_repaired = hist._fix_unit_random_mixups(df_bad, "1wk", tz_exchange, prepost=False)
 
         # First test - no errors left
         for c in data_cols:
@@ -606,6 +613,7 @@ class TestPriceRepair(unittest.TestCase):
         tkr = "PNL.L"
         dat = yf.Ticker(tkr, session=self.session)
         tz_exchange = dat.fast_info["timezone"]
+        hist = dat._lazy_load_price_history()
 
         data_cols = ["Low", "High", "Open", "Close", "Adj Close"]
         df = _pd.DataFrame(data={"Open":      [478,    476,   476,   472],
@@ -627,7 +635,7 @@ class TestPriceRepair(unittest.TestCase):
         df.index = df.index.tz_localize(tz_exchange)
         df_bad.index = df_bad.index.tz_localize(tz_exchange)
 
-        df_repaired = dat._fix_unit_random_mixups(df_bad, "1d", tz_exchange, prepost=False)
+        df_repaired = hist._fix_unit_random_mixups(df_bad, "1d", tz_exchange, prepost=False)
 
         # First test - no errors left
         for c in data_cols:
@@ -656,6 +664,7 @@ class TestPriceRepair(unittest.TestCase):
             for interval in ['1d', '1wk']:
                 dat = yf.Ticker(tkr, session=self.session)
                 tz_exchange = dat.fast_info["timezone"]
+                hist = dat._lazy_load_price_history()
 
                 data_cols = ["Low", "High", "Open", "Close", "Adj Close"]
                 _dp = os.path.dirname(__file__)
@@ -672,7 +681,7 @@ class TestPriceRepair(unittest.TestCase):
                 df.index = _pd.to_datetime(df.index, utc=True).tz_convert(tz_exchange)
                 df = df.sort_index()
 
-                df_repaired = dat._fix_unit_switch(df_bad, interval, tz_exchange)
+                df_repaired = hist._fix_unit_switch(df_bad, interval, tz_exchange)
                 df_repaired = df_repaired.sort_index()
 
                 # First test - no errors left
@@ -704,6 +713,7 @@ class TestPriceRepair(unittest.TestCase):
     def test_repair_zeroes_daily(self):
         tkr = "BBIL.L"
         dat = yf.Ticker(tkr, session=self.session)
+        hist = dat._lazy_load_price_history()
         tz_exchange = dat.fast_info["timezone"]
 
         df_bad = _pd.DataFrame(data={"Open":      [0,      102.04, 102.04],
@@ -719,7 +729,7 @@ class TestPriceRepair(unittest.TestCase):
         df_bad.index.name = "Date"
         df_bad.index = df_bad.index.tz_localize(tz_exchange)
 
-        repaired_df = dat._fix_zeroes(df_bad, "1d", tz_exchange, prepost=False)
+        repaired_df = hist._fix_zeroes(df_bad, "1d", tz_exchange, prepost=False)
 
         correct_df = df_bad.copy()
         correct_df.loc["2022-11-01", "Open"] = 102.080002
@@ -753,6 +763,7 @@ class TestPriceRepair(unittest.TestCase):
         dat = yf.Ticker(tkr, session=self.session)
         tz_exchange = dat.fast_info["timezone"]
         df.index = df.index.tz_localize(tz_exchange)
+        hist = dat._lazy_load_price_history()
 
         rtol = 5e-3
         for i in [0, 1, 2]:
@@ -761,7 +772,7 @@ class TestPriceRepair(unittest.TestCase):
                 df_slice_bad = df_slice.copy()
                 df_slice_bad.loc[df_slice_bad.index[j], "Adj Close"] = 0.0
 
-                df_slice_bad_repaired = dat._fix_zeroes(df_slice_bad, "1d", tz_exchange, prepost=False)
+                df_slice_bad_repaired = hist._fix_zeroes(df_slice_bad, "1d", tz_exchange, prepost=False)
                 for c in ["Close", "Adj Close"]:
                     self.assertTrue(_np.isclose(df_slice_bad_repaired[c], df_slice[c], rtol=rtol).all())
                 self.assertTrue("Repaired?" in df_slice_bad_repaired.columns)
@@ -771,8 +782,9 @@ class TestPriceRepair(unittest.TestCase):
         tkr = "INTC"
         dat = yf.Ticker(tkr, session=self.session)
         tz_exchange = dat.fast_info["timezone"]
+        hist = dat._lazy_load_price_history()
 
-        correct_df = dat.history(period="1wk", interval="1h", auto_adjust=False, repair=True)
+        correct_df = hist.history(period="5d", interval="1h", auto_adjust=False, repair=True)
 
         df_bad = correct_df.copy()
         bad_idx = correct_df.index[10]
@@ -783,7 +795,7 @@ class TestPriceRepair(unittest.TestCase):
         df_bad.loc[bad_idx, "Adj Close"] = _np.nan
         df_bad.loc[bad_idx, "Volume"] = 0
 
-        repaired_df = dat._fix_zeroes(df_bad, "1h", tz_exchange, prepost=False)
+        repaired_df = hist._fix_zeroes(df_bad, "1h", tz_exchange, prepost=False)
 
         for c in ["Open", "Low", "High", "Close"]:
             try:
@@ -801,7 +813,7 @@ class TestPriceRepair(unittest.TestCase):
         self.assertTrue("Repaired?" in repaired_df.columns)
         self.assertFalse(repaired_df["Repaired?"].isna().any())
 
-    def test_repair_bad_stock_split(self):
+    def test_repair_bad_stock_splits(self):
         # Stocks that split in 2022 but no problems in Yahoo data,
         # so repair should change nothing
         good_tkrs = ['AMZN', 'DXCM', 'FTNT', 'GOOG', 'GME', 'PANW', 'SHOP', 'TSLA']
@@ -812,11 +824,12 @@ class TestPriceRepair(unittest.TestCase):
             for interval in intervals:
                 dat = yf.Ticker(tkr, session=self.session)
                 tz_exchange = dat.fast_info["timezone"]
+                hist = dat._lazy_load_price_history()
 
                 _dp = os.path.dirname(__file__)
                 df_good = dat.history(start='2020-01-01', end=_dt.date.today(), interval=interval, auto_adjust=False)
 
-                repaired_df = dat._fix_bad_stock_split(df_good, interval, tz_exchange)
+                repaired_df = hist._fix_bad_stock_splits(df_good, interval, tz_exchange)
 
                 # Expect no change from repair
                 df_good = df_good.sort_index()
@@ -836,6 +849,7 @@ class TestPriceRepair(unittest.TestCase):
         for tkr in bad_tkrs:
             dat = yf.Ticker(tkr, session=self.session)
             tz_exchange = dat.fast_info["timezone"]
+            hist = dat._lazy_load_price_history()
 
             _dp = os.path.dirname(__file__)
             interval = '1d'
@@ -846,11 +860,11 @@ class TestPriceRepair(unittest.TestCase):
             df_bad = _pd.read_csv(fp, index_col="Date")
             df_bad.index = _pd.to_datetime(df_bad.index, utc=True)
 
-            repaired_df = dat._fix_bad_stock_split(df_bad, "1d", tz_exchange)
+            repaired_df = hist._fix_bad_stock_splits(df_bad, "1d", tz_exchange)
 
             fp = os.path.join(_dp, "data", tkr.replace('.','-')+'-'+interval+"-bad-stock-split-fixed.csv")
             correct_df = _pd.read_csv(fp, index_col="Date")
-            correct_df.index = _pd.to_datetime(correct_df.index)
+            correct_df.index = _pd.to_datetime(correct_df.index, utc=True)
 
             repaired_df = repaired_df.sort_index()
             correct_df = correct_df.sort_index()
@@ -876,11 +890,12 @@ class TestPriceRepair(unittest.TestCase):
             for interval in intervals:
                 dat = yf.Ticker(tkr, session=self.session)
                 tz_exchange = dat.fast_info["timezone"]
+                hist = dat._lazy_load_price_history()
 
                 _dp = os.path.dirname(__file__)
-                df_good = dat.history(start='2020-11-30', end='2021-04-01', interval=interval, auto_adjust=False)
+                df_good = hist.history(start='2020-11-30', end='2021-04-01', interval=interval, auto_adjust=False)
 
-                repaired_df = dat._fix_bad_stock_split(df_good, interval, tz_exchange)
+                repaired_df = hist._fix_bad_stock_splits(df_good, interval, tz_exchange)
 
                 # Expect no change from repair
                 df_good = df_good.sort_index()
@@ -900,12 +915,13 @@ class TestPriceRepair(unittest.TestCase):
 
         dat = yf.Ticker(tkr, session=self.session)
         tz_exchange = dat.fast_info["timezone"]
+        hist = dat._lazy_load_price_history()
 
         _dp = os.path.dirname(__file__)
         df_bad = _pd.read_csv(os.path.join(_dp, "data", tkr.replace('.','-')+"-1d-missing-div-adjust.csv"), index_col="Date")
         df_bad.index = _pd.to_datetime(df_bad.index)
 
-        repaired_df = dat._fix_missing_div_adjust(df_bad, "1d", tz_exchange)
+        repaired_df = hist._fix_missing_div_adjust(df_bad, "1d", tz_exchange)
 
         correct_df = _pd.read_csv(os.path.join(_dp, "data", tkr.replace('.','-')+"-1d-missing-div-adjust-fixed.csv"), index_col="Date")
         correct_df.index = _pd.to_datetime(correct_df.index)

tests/test_ticker.py

@@ -12,7 +12,7 @@ import pandas as pd
 
 from .context import yfinance as yf
 from .context import session_gbl
-from yfinance.exceptions import YFNotImplementedError
+from yfinance.exceptions import YFChartError, YFInvalidPeriodError, YFNotImplementedError, YFTickerMissingError, YFTzMissingError
 
 
 import unittest
@@ -35,8 +35,6 @@ ticker_attributes = (
     ("recommendations", Union[pd.DataFrame, dict]),
     ("recommendations_summary", Union[pd.DataFrame, dict]),
     ("upgrades_downgrades", Union[pd.DataFrame, dict]),
-    ("earnings", pd.DataFrame),
-    ("quarterly_earnings", pd.DataFrame),
     ("quarterly_cashflow", pd.DataFrame),
     ("cashflow", pd.DataFrame),
     ("quarterly_balance_sheet", pd.DataFrame),
@@ -100,20 +98,57 @@ class TestTicker(unittest.TestCase):
         tkr = "DJI"  # typo of "^DJI"
         dat = yf.Ticker(tkr, session=self.session)
 
-        dat.history(period="1wk")
+        dat.history(period="5d")
         dat.history(start="2022-01-01")
         dat.history(start="2022-01-01", end="2022-03-01")
-        yf.download([tkr], period="1wk", threads=False, ignore_tz=False)
-        yf.download([tkr], period="1wk", threads=True, ignore_tz=False)
-        yf.download([tkr], period="1wk", threads=False, ignore_tz=True)
-        yf.download([tkr], period="1wk", threads=True, ignore_tz=True)
+        yf.download([tkr], period="5d", threads=False, ignore_tz=False)
+        yf.download([tkr], period="5d", threads=True, ignore_tz=False)
+        yf.download([tkr], period="5d", threads=False, ignore_tz=True)
+        yf.download([tkr], period="5d", threads=True, ignore_tz=True)
 
         for k in dat.fast_info:
             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)
+
+        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_invalid_period(self):
+        tkr = 'VALE'
+        dat = yf.Ticker(tkr, session=self.session)
+        with self.assertRaises(YFInvalidPeriodError):
+            dat.history(period="2wks", interval="1d", raise_errors=True)
+        with self.assertRaises(YFInvalidPeriodError):
+            dat.history(period="2mo", interval="1d", raise_errors=True)
+
+
+    def test_prices_missing(self):
+        # this test will need to be updated every time someone wants to run a test
+        # hard to find a ticker that matches this error other than options
+        # META call option, 2024 April 26th @ strike of 180000
+        tkr = 'META240426C00180000'
+        dat = yf.Ticker(tkr, session=self.session)
+        with self.assertRaises(YFChartError):
+            dat.history(period="5d", interval="1m", raise_errors=True)
+
+    def test_ticker_missing(self):
+        tkr = 'ATVI'
+        dat = yf.Ticker(tkr, session=self.session)
+        # A missing ticker can trigger either a niche error or the generalized error
+        with self.assertRaises((YFTickerMissingError, YFTzMissingError, YFChartError)):
+            dat.history(period="3mo", interval="1d", raise_errors=True)
+
     def test_goodTicker(self):
         # that yfinance works when full api is called on same instance of ticker
 
@@ -122,32 +157,32 @@ class TestTicker(unittest.TestCase):
         for tkr in tkrs:
             dat = yf.Ticker(tkr, session=self.session)
 
-            dat.history(period="1wk")
+            dat.history(period="5d")
             dat.history(start="2022-01-01")
             dat.history(start="2022-01-01", end="2022-03-01")
-            yf.download([tkr], period="1wk", threads=False, ignore_tz=False)
-            yf.download([tkr], period="1wk", threads=True, ignore_tz=False)
-            yf.download([tkr], period="1wk", threads=False, ignore_tz=True)
-            yf.download([tkr], period="1wk", threads=True, ignore_tz=True)
+            yf.download([tkr], period="5d", threads=False, ignore_tz=False)
+            yf.download([tkr], period="5d", threads=True, ignore_tz=False)
+            yf.download([tkr], period="5d", threads=False, ignore_tz=True)
+            yf.download([tkr], period="5d", threads=True, ignore_tz=True)
 
             for k in dat.fast_info:
                 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)
+
     def test_goodTicker_withProxy(self):
         tkr = "IBM"
         dat = yf.Ticker(tkr, session=self.session, proxy=self.proxy)
 
         dat._fetch_ticker_tz(proxy=None, timeout=5)
         dat._get_ticker_tz(proxy=None, timeout=5)
-        dat.history(period="1wk")
+        dat.history(period="5d")
 
         for attribute_name, attribute_type in ticker_attributes:
             assert_attribute_type(self, dat, attribute_name, attribute_type)
 
-        
+
 class TestTickerHistory(unittest.TestCase):
     session = None
 
@@ -231,15 +266,6 @@ class TestTickerHistory(unittest.TestCase):
         self.assertIsInstance(data, pd.DataFrame, "data has wrong type")
         self.assertFalse(data.empty, "data is empty")
 
-    def test_reconstruct_intervals_batch(self):
-        data = self.ticker.history(period="3mo", interval="1d", prepost=True, repair=True)
-        self.assertIsInstance(data, pd.DataFrame, "data has wrong type")
-        self.assertFalse(data.empty, "data is empty")
-
-        reconstructed = self.ticker._reconstruct_intervals_batch(data, "1wk", True)
-        self.assertIsInstance(reconstructed, pd.DataFrame, "data has wrong type")
-        self.assertFalse(data.empty, "data is empty")
-
 
 class TestTickerEarnings(unittest.TestCase):
     session = None
@@ -278,22 +304,6 @@ class TestTickerEarnings(unittest.TestCase):
 
     # Below will fail because not ported to Yahoo API
 
-    # def test_earnings(self):
-    #     data = self.ticker.earnings
-    #     self.assertIsInstance(data, pd.DataFrame, "data has wrong type")
-    #     self.assertFalse(data.empty, "data is empty")
-
-    #     data_cached = self.ticker.earnings
-    #     self.assertIs(data, data_cached, "data not cached")
-
-    # def test_quarterly_earnings(self):
-    #     data = self.ticker.quarterly_earnings
-    #     self.assertIsInstance(data, pd.DataFrame, "data has wrong type")
-    #     self.assertFalse(data.empty, "data is empty")
-
-    #     data_cached = self.ticker.quarterly_earnings
-    #     self.assertIs(data, data_cached, "data not cached")
-
     # def test_earnings_forecasts(self):
     #     data = self.ticker.earnings_forecasts
     #     self.assertIsInstance(data, pd.DataFrame, "data has wrong type")
@@ -363,7 +373,7 @@ class TestTickerHolders(unittest.TestCase):
 
         data_cached = self.ticker.insider_transactions
         self.assertIs(data, data_cached, "data not cached")
-    
+
     def test_insider_purchases(self):
         data = self.ticker.insider_purchases
         self.assertIsInstance(data, pd.DataFrame, "data has wrong type")
@@ -395,9 +405,9 @@ class TestTickerMiscFinancials(unittest.TestCase):
 
     def setUp(self):
         self.ticker = yf.Ticker("GOOGL", session=self.session)
-        
-        # For ticker 'BSE.AX' (and others), Yahoo not returning 
-        # full quarterly financials (usually cash-flow) with all entries, 
+
+        # For ticker 'BSE.AX' (and others), Yahoo not returning
+        # full quarterly financials (usually cash-flow) with all entries,
         # instead returns a smaller version in different data store.
         self.ticker_old_fmt = yf.Ticker("BSE.AX", session=self.session)
 
@@ -676,15 +686,14 @@ class TestTickerMiscFinancials(unittest.TestCase):
         data_cached = self.ticker.calendar
         self.assertIs(data, data_cached, "data not cached")
 
-    # Below will fail because not ported to Yahoo API
 
-    # def test_sustainability(self):
-    #     data = self.ticker.sustainability
-    #     self.assertIsInstance(data, pd.DataFrame, "data has wrong type")
-    #     self.assertFalse(data.empty, "data is empty")
+    def test_sustainability(self):
+        data = self.ticker.sustainability
+        self.assertIsInstance(data, pd.DataFrame, "data has wrong type")
+        self.assertFalse(data.empty, "data is empty")
 
-    #     data_cached = self.ticker.sustainability
-    #     self.assertIs(data, data_cached, "data not cached")
+        data_cached = self.ticker.sustainability
+        self.assertIs(data, data_cached, "data not cached")
 
     # def test_shares(self):
     #     data = self.ticker.shares
@@ -706,7 +715,7 @@ class TestTickerAnalysts(unittest.TestCase):
 
     def setUp(self):
         self.ticker = yf.Ticker("GOOGL", session=self.session)
-        
+
     def tearDown(self):
         self.ticker = None
 
@@ -806,7 +815,6 @@ class TestTickerInfo(unittest.TestCase):
         # This one should have a trailing PEG ratio
         data2 = self.tickers[2].info
         self.assertIsInstance(data2['trailingPegRatio'], float)
-        pass
 
     # def test_fast_info_matches_info(self):
     #     fast_info_keys = set()
@@ -844,7 +852,7 @@ class TestTickerInfo(unittest.TestCase):
     #             key_rename_map[yf.utils.snake_case_2_camelCase(k)] = key_rename_map[k]
 
     #     # Note: share count items in info[] are bad. Sometimes the float > outstanding!
-    #     # So often fast_info["shares"] does not match. 
+    #     # So often fast_info["shares"] does not match.
     #     # Why isn't fast_info["shares"] wrong? Because using it to calculate market cap always correct.
     #     bad_keys = {"shares"}
 

tests/test_utils.py

@@ -8,6 +8,8 @@ Specific test class:
    python -m unittest tests.utils.TestTicker
 
 """
+from unittest import TestSuite
+
 # import pandas as pd
 # import numpy as np
 
@@ -34,16 +36,16 @@ class TestCache(unittest.TestCase):
         tkr = 'AMZN'
         tz1 = "America/New_York"
         tz2 = "London/Europe"
-        cache = yf.utils.get_tz_cache()
+        cache = yf.cache.get_tz_cache()
         cache.store(tkr, tz1)
         cache.store(tkr, tz2)
 
     def test_setTzCacheLocation(self):
-        self.assertEqual(yf.utils._DBManager.get_location(), self.tempCacheDir.name)
+        self.assertEqual(yf.cache._TzDBManager.get_location(), self.tempCacheDir.name)
 
         tkr = 'AMZN'
         tz1 = "America/New_York"
-        cache = yf.utils.get_tz_cache()
+        cache = yf.cache.get_tz_cache()
         cache.store(tkr, tz1)
 
         self.assertTrue(os.path.exists(os.path.join(self.tempCacheDir.name, "tkr-tz.db")))
@@ -60,10 +62,10 @@ class TestCacheNoPermission(unittest.TestCase):
         tz1 = "America/New_York"
 
         # During attempt to store, will discover cannot write
-        yf.utils.get_tz_cache().store(tkr, tz1)
+        yf.cache.get_tz_cache().store(tkr, tz1)
 
         # Handling the store failure replaces cache with a dummy
-        cache = yf.utils.get_tz_cache()
+        cache = yf.cache.get_tz_cache()
         self.assertTrue(cache.dummy)
         cache.store(tkr, tz1)
 
@@ -71,19 +73,19 @@ class TestCacheNoPermission(unittest.TestCase):
         # Test that if cache path in read-only filesystem, no exception.
         tkr = 'AMZN'
         # During attempt to lookup, will discover cannot write
-        yf.utils.get_tz_cache().lookup(tkr)
+        yf.cache.get_tz_cache().lookup(tkr)
 
         # Handling the lookup failure replaces cache with a dummy
-        cache = yf.utils.get_tz_cache()
+        cache = yf.cache.get_tz_cache()
         self.assertTrue(cache.dummy)
         cache.lookup(tkr)
 
 
 def suite():
-    suite = unittest.TestSuite()
-    suite.addTest(TestCache('Test cache'))
-    suite.addTest(TestCacheNoPermission('Test cache no permission'))
-    return suite
+    ts: TestSuite = unittest.TestSuite()
+    ts.addTest(TestCache('Test cache'))
+    ts.addTest(TestCacheNoPermission('Test cache no permission'))
+    return ts
 
 
 if __name__ == '__main__':

yfinance/__init__.py

@@ -29,19 +29,7 @@ from .cache import set_tz_cache_location
 __version__ = version.version
 __author__ = "Ran Aroussi"
 
+import warnings
+warnings.filterwarnings('default', category=DeprecationWarning, module='^yfinance')
 
-def pdr_override():
-    """
-    make pandas datareader optional
-    otherwise can be called via fix_yahoo_finance.download(...)
-    """
-    try:
-        import pandas_datareader
-        pandas_datareader.data.get_data_yahoo = download
-        pandas_datareader.data.get_data_yahoo_actions = download
-        pandas_datareader.data.DataReader = download
-    except Exception:
-        pass
-
-
-__all__ = ['download', 'Ticker', 'Tickers', 'pdr_override', 'enable_debug_mode', 'set_tz_cache_location']
+__all__ = ['download', 'Ticker', 'Tickers', 'enable_debug_mode', 'set_tz_cache_location']

yfinance/cache.py

@@ -1,7 +1,7 @@
 import peewee as _peewee
 from threading import Lock
 import os as _os
-import appdirs as _ad
+import platformdirs as _ad
 import atexit as _atexit
 import datetime as _datetime
 import pickle as _pkl
@@ -145,7 +145,14 @@ class _TzCache:
 
         db.connect()
         tz_db_proxy.initialize(db)
-        db.create_tables([_KV])
+        try:
+            db.create_tables([_KV])
+        except _peewee.OperationalError as e:
+            if 'WITHOUT' in str(e):
+                _KV._meta.without_rowid = False
+                db.create_tables([_KV])
+            else:
+                raise
         self.initialised = 1  # success
 
     def lookup(self, key):
@@ -344,7 +351,14 @@ class _CookieCache:
 
         db.connect()
         Cookie_db_proxy.initialize(db)
-        db.create_tables([_CookieSchema])
+        try:
+            db.create_tables([_CookieSchema])
+        except _peewee.OperationalError as e:
+            if 'WITHOUT' in str(e):
+                _CookieSchema._meta.without_rowid = False
+                db.create_tables([_CookieSchema])
+            else:
+                raise
         self.initialised = 1  # success
 
     def lookup(self, strategy):

yfinance/const.py

@@ -30,7 +30,9 @@ fundamentals_keys = {
                    "AmortizationOfIntangiblesIncomeStatement", "DepreciationIncomeStatement", "ResearchAndDevelopment",
                    "SellingGeneralAndAdministration", "SellingAndMarketingExpense", "GeneralAndAdministrativeExpense",
                    "OtherGandA", "InsuranceAndClaims", "RentAndLandingFees", "SalariesAndWages", "GrossProfit",
-                   "CostOfRevenue", "TotalRevenue", "ExciseTaxes", "OperatingRevenue"],
+                   "CostOfRevenue", "TotalRevenue", "ExciseTaxes", "OperatingRevenue", "LossAdjustmentExpense",
+                   "NetPolicyholderBenefitsAndClaims", "PolicyholderBenefitsGross", "PolicyholderBenefitsCeded",
+                   "OccupancyAndEquipment", "ProfessionalExpenseAndContractServicesExpense", "OtherNonInterestExpense"],
     'balance-sheet': ["TreasurySharesNumber", "PreferredSharesNumber", "OrdinarySharesNumber", "ShareIssued", "NetDebt",
                       "TotalDebt", "TangibleBookValue", "InvestedCapital", "WorkingCapital", "NetTangibleAssets",
                       "CapitalLeaseObligations", "CommonStockEquity", "PreferredStockEquity", "TotalCapitalization",
@@ -74,7 +76,8 @@ fundamentals_keys = {
                       "DuefromRelatedPartiesCurrent", "TaxesReceivable", "AccruedInterestReceivable", "NotesReceivable",
                       "LoansReceivable", "AccountsReceivable", "AllowanceForDoubtfulAccountsReceivable",
                       "GrossAccountsReceivable", "CashCashEquivalentsAndShortTermInvestments",
-                      "OtherShortTermInvestments", "CashAndCashEquivalents", "CashEquivalents", "CashFinancial"],
+                      "OtherShortTermInvestments", "CashAndCashEquivalents", "CashEquivalents", "CashFinancial",
+                      "CashCashEquivalentsAndFederalFundsSold"],
     'cash-flow': ["ForeignSales", "DomesticSales", "AdjustedGeographySegmentData", "FreeCashFlow",
                   "RepurchaseOfCapitalStock", "RepaymentOfDebt", "IssuanceOfDebt", "IssuanceOfCapitalStock",
                   "CapitalExpenditure", "InterestPaidSupplementalData", "IncomeTaxPaidSupplementalData",
@@ -115,7 +118,7 @@ fundamentals_keys = {
                   "PaymentstoSuppliersforGoodsandServices", "ClassesofCashReceiptsfromOperatingActivities",
                   "OtherCashReceiptsfromOperatingActivities", "ReceiptsfromGovernmentGrants", "ReceiptsfromCustomers"]}
 
-price_colnames = ['Open', 'High', 'Low', 'Close', 'Adj Close']
+_PRICE_COLNAMES_ = ['Open', 'High', 'Low', 'Close', 'Adj Close']
 
 quote_summary_valid_modules = (
     "summaryProfile",  # contains general information about the company

yfinance/data.py

@@ -60,7 +60,23 @@ class YfData(metaclass=SingletonMeta):
         'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36'}
 
     def __init__(self, session=None):
-        self._session = session or requests.Session()
+        self._crumb = None
+        self._cookie = None
+
+        # Default to using 'basic' strategy
+        self._cookie_strategy = 'basic'
+        # If it fails, then fallback method is 'csrf'
+        # self._cookie_strategy = 'csrf'
+
+        self._cookie_lock = threading.Lock()
+
+        self._set_session(session or requests.Session())
+
+    def _set_session(self, session):
+        if session is None:
+            return
+        with self._cookie_lock:
+            self._session = session
 
         try:
             self._session.cache
@@ -74,23 +90,6 @@ class YfData(metaclass=SingletonMeta):
             self._session_is_caching = True
             from requests_cache import DO_NOT_CACHE
             self._expire_after = DO_NOT_CACHE
-        self._crumb = None
-        self._cookie = None
-        if self._session_is_caching and self._cookie is None:
-            utils.print_once("WARNING: cookie & crumb does not work well with requests_cache. Am experimenting with 'expire_after=DO_NOT_CACHE', but you need to help stress-test.")
-
-        # Default to using 'basic' strategy
-        self._cookie_strategy = 'basic'
-        # If it fails, then fallback method is 'csrf'
-        # self._cookie_strategy = 'csrf'
-
-        self._cookie_lock = threading.Lock()
-
-    def _set_session(self, session):
-        if session is None:
-            return
-        with self._cookie_lock:
-            self._session = session
 
     def _set_cookie_strategy(self, strategy, have_lock=False):
         if strategy == self._cookie_strategy:

yfinance/exceptions.py

@@ -1,12 +1,50 @@
-class YFinanceException(Exception):
+class YFException(Exception):
+    def __init__(self, description=""):
+        super().__init__(description)
+
+
+class YFDataException(YFException):
     pass
 
 
-class YFinanceDataException(YFinanceException):
-    pass
+class YFChartError(YFException):
+    def __init__(self, ticker, description):
+        self.ticker = ticker
+        super().__init__(f"{self.ticker}: {description}")
 
 
 class YFNotImplementedError(NotImplementedError):
     def __init__(self, method_name):
         super().__init__(f"Have not implemented fetching '{method_name}' from Yahoo API")
 
+
+class YFTickerMissingError(YFException):
+    def __init__(self, ticker, rationale):
+        super().__init__(f"${ticker}: possibly delisted; {rationale}")
+        self.rationale = rationale
+        self.ticker = ticker
+
+
+class YFTzMissingError(YFTickerMissingError):
+    def __init__(self, ticker):
+        super().__init__(ticker, "No timezone found")
+
+
+class YFPricesMissingError(YFTickerMissingError):
+    def __init__(self, ticker, debug_info):
+        self.debug_info = debug_info
+        super().__init__(ticker, f"No price data found {debug_info}")
+
+
+class YFEarningsDateMissing(YFTickerMissingError):
+    # note that this does not get raised. Added in case of raising it in the future
+    def __init__(self, ticker):
+        super().__init__(ticker, "No earnings dates found")
+
+
+class YFInvalidPeriodError(YFException):
+    def __init__(self, ticker, invalid_period, valid_ranges):
+        self.ticker = ticker
+        self.invalid_period = invalid_period
+        self.valid_ranges = valid_ranges
+        super().__init__(f"{self.ticker}: Period '{invalid_period}' is invalid, must be one of {valid_ranges}")

yfinance/multi.py

@@ -36,7 +36,7 @@ from . import shared
 @utils.log_indent_decorator
 def download(tickers, start=None, end=None, actions=False, threads=True, ignore_tz=None,
              group_by='column', auto_adjust=False, back_adjust=False, repair=False, keepna=False,
-             progress=True, period="max", show_errors=None, interval="1d", prepost=False,
+             progress=True, period="max", interval="1d", prepost=False,
              proxy=None, rounding=False, timeout=10, session=None):
     """Download yahoo tickers
     :Parameters:
@@ -80,9 +80,6 @@ def download(tickers, start=None, end=None, actions=False, threads=True, ignore_
             Optional. Proxy server URL scheme. Default is None
         rounding: bool
             Optional. Round values to 2 decimal places?
-        show_errors: bool
-            Optional. Doesn't print errors if False
-            DEPRECATED, will be removed in future version
         timeout: None or float
             If not None stops waiting for a response after given number of
             seconds. (Can also be a fraction of a second e.g. 0.01)
@@ -91,14 +88,6 @@ def download(tickers, start=None, end=None, actions=False, threads=True, ignore_
     """
     logger = utils.get_yf_logger()
 
-    if show_errors is not None:
-        if show_errors:
-            utils.print_once(f"yfinance: download(show_errors={show_errors}) argument is deprecated and will be removed in future version. Do this instead: logging.getLogger('yfinance').setLevel(logging.ERROR)")
-            logger.setLevel(logging.ERROR)
-        else:
-            utils.print_once(f"yfinance: download(show_errors={show_errors}) argument is deprecated and will be removed in future version. Do this instead to suppress error messages: logging.getLogger('yfinance').setLevel(logging.CRITICAL)")
-            logger.setLevel(logging.CRITICAL)
-
     if logger.isEnabledFor(logging.DEBUG):
         if threads:
             # With DEBUG, each thread generates a lot of log messages.
@@ -217,11 +206,11 @@ def download(tickers, start=None, end=None, actions=False, threads=True, ignore_
 
     try:
         data = _pd.concat(shared._DFS.values(), axis=1, sort=True,
-                          keys=shared._DFS.keys())
+                          keys=shared._DFS.keys(), names=['Ticker', 'Price'])
     except Exception:
         _realign_dfs()
         data = _pd.concat(shared._DFS.values(), axis=1, sort=True,
-                          keys=shared._DFS.keys())
+                          keys=shared._DFS.keys(), names=['Ticker', 'Price'])
     data.index = _pd.to_datetime(data.index)
     # switch names back to isins if applicable
     data.rename(columns=shared._ISINS, inplace=True)

yfinance/scrapers/fundamentals.py

@@ -1,12 +1,12 @@
 import datetime
 import json
+import warnings
 
 import pandas as pd
 
 from yfinance import utils, const
 from yfinance.data import YfData
-from yfinance.exceptions import YFinanceException, YFNotImplementedError
-
+from yfinance.exceptions import YFException, YFNotImplementedError
 
 class Fundamentals:
 
@@ -30,9 +30,8 @@ class Fundamentals:
 
     @property
     def earnings(self) -> dict:
-        if self._earnings is None:
-            raise YFNotImplementedError('earnings')
-        return self._earnings
+        warnings.warn("'Ticker.earnings' is deprecated as not available via API. Look for \"Net Income\" in Ticker.income_stmt.", DeprecationWarning)
+        return None
 
     @property
     def shares(self) -> pd.DataFrame:
@@ -70,7 +69,7 @@ class Financials:
     @utils.log_indent_decorator
     def _fetch_time_series(self, name, timescale, proxy=None):
         # Fetching time series preferred over scraping 'QuoteSummaryStore',
-        # because it matches what Yahoo shows. But for some tickers returns nothing, 
+        # because it matches what Yahoo shows. But for some tickers returns nothing,
         # despite 'QuoteSummaryStore' containing valid data.
 
         allowed_names = ["income", "balance-sheet", "cash-flow"]
@@ -79,14 +78,14 @@ class Financials:
         if name not in allowed_names:
             raise ValueError(f"Illegal argument: name must be one of: {allowed_names}")
         if timescale not in allowed_timescales:
-            raise ValueError(f"Illegal argument: timescale must be one of: {allowed_names}")
+            raise ValueError(f"Illegal argument: timescale must be one of: {allowed_timescales}")
 
         try:
             statement = self._create_financials_table(name, timescale, proxy)
 
             if statement is not None:
                 return statement
-        except YFinanceException as e:
+        except YFException as e:
             utils.get_yf_logger().error(f"{self._symbol}: Failed to create {name} financials table for reason: {e}")
         return pd.DataFrame()
 

yfinance/scrapers/holders.py

@@ -6,7 +6,7 @@ import requests
 from yfinance import utils
 from yfinance.data import YfData
 from yfinance.const import _BASE_URL_
-from yfinance.exceptions import YFinanceDataException
+from yfinance.exceptions import YFDataException
 
 _QUOTE_SUMMARY_URL_ = f"{_BASE_URL_}/v10/finance/quoteSummary/"
 
@@ -73,8 +73,8 @@ class Holders:
     def _fetch(self, proxy):
         modules = ','.join(
             ["institutionOwnership", "fundOwnership", "majorDirectHolders", "majorHoldersBreakdown", "insiderTransactions", "insiderHolders", "netSharePurchaseActivity"])
-        params_dict = {"modules": modules, "corsDomain": "finance.yahoo.com", "symbol": self._symbol, "formatted": "false"}
-        result = self._data.get_raw_json(_QUOTE_SUMMARY_URL_, user_agent_headers=self._data.user_agent_headers, params=params_dict, proxy=proxy)
+        params_dict = {"modules": modules, "corsDomain": "finance.yahoo.com", "formatted": "false"}
+        result = self._data.get_raw_json(f"{_QUOTE_SUMMARY_URL_}/{self._symbol}", user_agent_headers=self._data.user_agent_headers, params=params_dict, proxy=proxy)
         return result
 
     def _fetch_and_parse(self):
@@ -104,7 +104,7 @@ class Holders:
             self._parse_insider_holders(data["insiderHolders"])
             self._parse_net_share_purchase_activity(data["netSharePurchaseActivity"])
         except (KeyError, IndexError):
-            raise YFinanceDataException("Failed to parse holders json data.")
+            raise YFDataException("Failed to parse holders json data.")
 
     @staticmethod
     def _parse_raw_values(data):
@@ -189,7 +189,7 @@ class Holders:
         if not df.empty:
             df["positionDirectDate"] = pd.to_datetime(df["positionDirectDate"], unit="s")
             df["latestTransDate"] = pd.to_datetime(df["latestTransDate"], unit="s")
-            
+
             df.rename(columns={
                 "name": "Name",
                 "relation": "Position",
@@ -242,5 +242,3 @@ class Holders:
             }
         ).convert_dtypes()
         self._insider_purchases = df
-
-    

yfinance/scrapers/quote.py

@@ -1,8 +1,5 @@
 import datetime
 import json
-import logging
-import warnings
-from collections.abc import MutableMapping
 
 import numpy as _np
 import pandas as pd
@@ -11,7 +8,7 @@ import requests
 from yfinance import utils
 from yfinance.data import YfData
 from yfinance.const import quote_summary_valid_modules, _BASE_URL_
-from yfinance.exceptions import YFNotImplementedError, YFinanceDataException, YFinanceException
+from yfinance.exceptions import YFDataException, YFException
 
 info_retired_keys_price = {"currentPrice", "dayHigh", "dayLow", "open", "previousClose", "volume", "volume24Hr"}
 info_retired_keys_price.update({"regularMarket"+s for s in ["DayHigh", "DayLow", "Open", "PreviousClose", "Price", "Volume"]})
@@ -26,57 +23,6 @@ info_retired_keys = info_retired_keys_price | info_retired_keys_exchange | info_
 _QUOTE_SUMMARY_URL_ = f"{_BASE_URL_}/v10/finance/quoteSummary"
 
 
-class InfoDictWrapper(MutableMapping):
-    """ Simple wrapper around info dict, intercepting 'gets' to
-    print how-to-migrate messages for specific keys. Requires
-    override dict API"""
-
-    def __init__(self, info):
-        self.info = info
-
-    def keys(self):
-        return self.info.keys()
-
-    def __str__(self):
-        return self.info.__str__()
-
-    def __repr__(self):
-        return self.info.__repr__()
-
-    def __contains__(self, k):
-        return k in self.info.keys()
-
-    def __getitem__(self, k):
-        if k in info_retired_keys_price:
-            warnings.warn(f"Price data removed from info (key='{k}'). Use Ticker.fast_info or history() instead", DeprecationWarning)
-            return None
-        elif k in info_retired_keys_exchange:
-            warnings.warn(f"Exchange data removed from info (key='{k}'). Use Ticker.fast_info or Ticker.get_history_metadata() instead", DeprecationWarning)
-            return None
-        elif k in info_retired_keys_marketCap:
-            warnings.warn(f"Market cap removed from info (key='{k}'). Use Ticker.fast_info instead", DeprecationWarning)
-            return None
-        elif k in info_retired_keys_symbol:
-            warnings.warn(f"Symbol removed from info (key='{k}'). You know this already", DeprecationWarning)
-            return None
-        return self.info[self._keytransform(k)]
-
-    def __setitem__(self, k, value):
-        self.info[self._keytransform(k)] = value
-
-    def __delitem__(self, k):
-        del self.info[self._keytransform(k)]
-
-    def __iter__(self):
-        return iter(self.info)
-
-    def __len__(self):
-        return len(self.info)
-
-    def _keytransform(self, k):
-        return k
-
-
 class FastInfo:
     # Contain small subset of info[] items that can be fetched faster elsewhere.
     # Imitates a dict.
@@ -182,10 +128,7 @@ class FastInfo:
 
     def _get_1y_prices(self, fullDaysOnly=False):
         if self._prices_1y is None:
-            # Temporarily disable error printing
-            logging.disable(logging.CRITICAL)
-            self._prices_1y = self._tkr.history(period="380d", auto_adjust=False, keepna=True, proxy=self.proxy)
-            logging.disable(logging.NOTSET)
+            self._prices_1y = self._tkr.history(period="1y", auto_adjust=False, keepna=True, proxy=self.proxy)
             self._md = self._tkr.get_history_metadata(proxy=self.proxy)
             try:
                 ctp = self._md["currentTradingPeriod"]
@@ -211,18 +154,12 @@ class FastInfo:
 
     def _get_1wk_1h_prepost_prices(self):
         if self._prices_1wk_1h_prepost is None:
-            # Temporarily disable error printing
-            logging.disable(logging.CRITICAL)
-            self._prices_1wk_1h_prepost = self._tkr.history(period="1wk", interval="1h", auto_adjust=False, prepost=True, proxy=self.proxy)
-            logging.disable(logging.NOTSET)
+            self._prices_1wk_1h_prepost = self._tkr.history(period="5d", interval="1h", auto_adjust=False, prepost=True, proxy=self.proxy)
         return self._prices_1wk_1h_prepost
 
     def _get_1wk_1h_reg_prices(self):
         if self._prices_1wk_1h_reg is None:
-            # Temporarily disable error printing
-            logging.disable(logging.CRITICAL)
-            self._prices_1wk_1h_reg = self._tkr.history(period="1wk", interval="1h", auto_adjust=False, prepost=False, proxy=self.proxy)
-            logging.disable(logging.NOTSET)
+            self._prices_1wk_1h_reg = self._tkr.history(period="5d", interval="1h", auto_adjust=False, prepost=False, proxy=self.proxy)
         return self._prices_1wk_1h_reg
 
     def _get_exchange_metadata(self):
@@ -261,8 +198,6 @@ class FastInfo:
         if self._currency is not None:
             return self._currency
 
-        if self._tkr._history_metadata is None:
-            self._get_1y_prices()
         md = self._tkr.get_history_metadata(proxy=self.proxy)
         self._currency = md["currency"]
         return self._currency
@@ -272,8 +207,6 @@ class FastInfo:
         if self._quote_type is not None:
             return self._quote_type
 
-        if self._tkr._history_metadata is None:
-            self._get_1y_prices()
         md = self._tkr.get_history_metadata(proxy=self.proxy)
         self._quote_type = md["instrumentType"]
         return self._quote_type
@@ -579,7 +512,15 @@ class Quote:
     @property
     def sustainability(self) -> pd.DataFrame:
         if self._sustainability is None:
-            raise YFNotImplementedError('sustainability')
+            result = self._fetch(self.proxy, modules=['esgScores'])
+            if result is None:
+                self._sustainability = pd.DataFrame()
+            else:
+                try:
+                    data = result["quoteSummary"]["result"][0]
+                except (KeyError, IndexError):
+                    raise YFDataException(f"Failed to parse json response from Yahoo Finance: {result}")
+                self._sustainability = pd.DataFrame(data)
         return self._sustainability
 
     @property
@@ -592,7 +533,7 @@ class Quote:
                 try:
                     data = result["quoteSummary"]["result"][0]["recommendationTrend"]["trend"]
                 except (KeyError, IndexError):
-                    raise YFinanceDataException(f"Failed to parse json response from Yahoo Finance: {result}")
+                    raise YFDataException(f"Failed to parse json response from Yahoo Finance: {result}")
                 self._recommendations = pd.DataFrame(data)
         return self._recommendations
 
@@ -606,14 +547,14 @@ class Quote:
                 try:
                     data = result["quoteSummary"]["result"][0]["upgradeDowngradeHistory"]["history"]
                     if len(data) == 0:
-                        raise YFinanceDataException(f"No upgrade/downgrade history found for {self._symbol}")
+                        raise YFDataException(f"No upgrade/downgrade history found for {self._symbol}")
                     df = pd.DataFrame(data)
                     df.rename(columns={"epochGradeDate": "GradeDate", 'firm': 'Firm', 'toGrade': 'ToGrade', 'fromGrade': 'FromGrade', 'action': 'Action'}, inplace=True)
                     df.set_index('GradeDate', inplace=True)
                     df.index = pd.to_datetime(df.index, unit='s')
                     self._upgrades_downgrades = df
                 except (KeyError, IndexError):
-                    raise YFinanceDataException(f"Failed to parse json response from Yahoo Finance: {result}")
+                    raise YFDataException(f"Failed to parse json response from Yahoo Finance: {result}")
         return self._upgrades_downgrades
 
     @property
@@ -628,11 +569,11 @@ class Quote:
 
     def _fetch(self, proxy, modules: list):
         if not isinstance(modules, list):
-            raise YFinanceException("Should provide a list of modules, see available modules using `valid_modules`")
+            raise YFException("Should provide a list of modules, see available modules using `valid_modules`")
 
         modules = ','.join([m for m in modules if m in quote_summary_valid_modules])
         if len(modules) == 0:
-            raise YFinanceException("No valid modules provided, see available modules using `valid_modules`")
+            raise YFException("No valid modules provided, see available modules using `valid_modules`")
         params_dict = {"modules": modules, "corsDomain": "finance.yahoo.com", "formatted": "false", "symbol": self._symbol}
         try:
             result = self._data.get_raw_json(_QUOTE_SUMMARY_URL_ + f"/{self._symbol}", user_agent_headers=self._data.user_agent_headers, params=params_dict, proxy=proxy)
@@ -733,10 +674,11 @@ class Quote:
 
             json_str = self._data.cache_get(url=url, proxy=proxy).text
             json_data = json.loads(json_str)
-            if json_data["timeseries"]["error"] is not None:
-                raise YFinanceException("Failed to parse json response from Yahoo Finance: " + json_data["error"])
+            json_result = json_data.get("timeseries") or json_data.get("finance")
+            if json_result["error"] is not None:
+                raise YFException("Failed to parse json response from Yahoo Finance: " + str(json_result["error"]))
             for k in keys:
-                keydict = json_data["timeseries"]["result"][0]
+                keydict = json_result["result"][0]
                 if k in keydict:
                     self._info[k] = keydict[k][-1]["reportedValue"]["raw"]
                 else:
@@ -767,4 +709,4 @@ class Quote:
                 self._calendar['Revenue Low'] = earnings.get('revenueLow', None)
                 self._calendar['Revenue Average'] = earnings.get('revenueAverage', None)
         except (KeyError, IndexError):
-            raise YFinanceDataException(f"Failed to parse json response from Yahoo Finance: {result}")
+            raise YFDataException(f"Failed to parse json response from Yahoo Finance: {result}")

yfinance/ticker.py

@@ -21,12 +21,12 @@
 
 from __future__ import print_function
 
-import datetime as _datetime
 from collections import namedtuple as _namedtuple
 
 import pandas as _pd
 
 from .base import TickerBase
+from .const import _BASE_URL_
 
 
 class Ticker(TickerBase):
@@ -40,15 +40,14 @@ class Ticker(TickerBase):
 
     def _download_options(self, date=None):
         if date is None:
-            url = f"{self._base_url}/v7/finance/options/{self.ticker}"
+            url = f"{_BASE_URL_}/v7/finance/options/{self.ticker}"
         else:
-            url = f"{self._base_url}/v7/finance/options/{self.ticker}?date={date}"
+            url = f"{_BASE_URL_}/v7/finance/options/{self.ticker}?date={date}"
 
         r = self._data.get(url=url, proxy=self.proxy).json()
         if len(r.get('optionChain', {}).get('result', [])) > 0:
             for exp in r['optionChain']['result'][0]['expirationDates']:
-                self._expirations[_datetime.datetime.utcfromtimestamp(
-                    exp).strftime('%Y-%m-%d')] = exp
+                self._expirations[_pd.Timestamp(exp, unit='s').strftime('%Y-%m-%d')] = exp
 
             self._underlying = r['optionChain']['result'][0].get('quote', {})
 
@@ -134,7 +133,7 @@ class Ticker(TickerBase):
         return self.get_dividends()
 
     @property
-    def capital_gains(self):
+    def capital_gains(self) -> _pd.Series:
         return self.get_capital_gains()
 
     @property
@@ -146,7 +145,7 @@ class Ticker(TickerBase):
         return self.get_actions()
 
     @property
-    def shares(self) -> _pd.DataFrame :
+    def shares(self) -> _pd.DataFrame:
         return self.get_shares()
 
     @property
@@ -259,7 +258,7 @@ class Ticker(TickerBase):
         return tuple(self._expirations.keys())
 
     @property
-    def news(self):
+    def news(self) -> list:
         return self.get_news()
 
     @property

yfinance/utils.py

@@ -26,7 +26,7 @@ import logging
 import re as _re
 import sys as _sys
 import threading
-from functools import lru_cache
+from functools import lru_cache, wraps
 from inspect import getmembers
 from types import FunctionType
 from typing import List, Optional
@@ -95,6 +95,7 @@ def get_indented_logger(name=None):
 
 
 def log_indent_decorator(func):
+    @wraps(func)
     def wrapper(*args, **kwargs):
         logger = get_indented_logger('yfinance')
         logger.debug(f'Entering {func.__name__}()')
@@ -689,7 +690,7 @@ def safe_merge_dfs(df_main, df_sub, interval):
                 df_main['Dividends'] = 0.0
                 return df_main
         else:
-            empty_row_data = {**{c:[_np.nan] for c in const.price_colnames}, 'Volume':[0]}
+            empty_row_data = {**{c:[_np.nan] for c in const._PRICE_COLNAMES_}, 'Volume':[0]}
             if interval == '1d':
                 # For 1d, add all out-of-range event dates
                 for i in _np.where(f_outOfRange)[0]:
@@ -772,7 +773,7 @@ def fix_Yahoo_dst_issue(df, interval):
         f_pre_midnight = (df.index.minute == 0) & (df.index.hour.isin([22, 23]))
         dst_error_hours = _np.array([0] * df.shape[0])
         dst_error_hours[f_pre_midnight] = 24 - df.index[f_pre_midnight].hour
-        df.index += _pd.TimedeltaIndex(dst_error_hours, 'h')
+        df.index += _pd.to_timedelta(dst_error_hours, 'h')
     return df
 
 

yfinance/version.py

@@ -1 +1 @@
-version = "0.2.35"
+version = "0.2.41"