Resolving compatibility issues

- Fixed issue between python and pandas not resolved in 0.2.9
- Dropped python 3.5 support from nfl_data_py to allow for parquet file usage

.tox/log/GLOB-0.log

@@ -8,33 +8,126 @@ writing dependency_links to nfl_data_py.egg-info\dependency_links.txt
 writing requirements to nfl_data_py.egg-info\requires.txt
 writing top-level names to nfl_data_py.egg-info\top_level.txt
 reading manifest file 'nfl_data_py.egg-info\SOURCES.txt'
+reading manifest template 'MANIFEST.in'
 writing manifest file 'nfl_data_py.egg-info\SOURCES.txt'
 running check
-creating nfl_data_py-0.2.7
-creating nfl_data_py-0.2.7\nfl_data_py
-creating nfl_data_py-0.2.7\nfl_data_py.egg-info
-copying files to nfl_data_py-0.2.7...
-copying README.md -> nfl_data_py-0.2.7
-copying setup.py -> nfl_data_py-0.2.7
-copying nfl_data_py\__init__.py -> nfl_data_py-0.2.7\nfl_data_py
-copying nfl_data_py.egg-info\PKG-INFO -> nfl_data_py-0.2.7\nfl_data_py.egg-info
-copying nfl_data_py.egg-info\SOURCES.txt -> nfl_data_py-0.2.7\nfl_data_py.egg-info
-copying nfl_data_py.egg-info\dependency_links.txt -> nfl_data_py-0.2.7\nfl_data_py.egg-info
-copying nfl_data_py.egg-info\requires.txt -> nfl_data_py-0.2.7\nfl_data_py.egg-info
-copying nfl_data_py.egg-info\top_level.txt -> nfl_data_py-0.2.7\nfl_data_py.egg-info
-Writing nfl_data_py-0.2.7\setup.cfg
-creating '.tox\dist\nfl_data_py-0.2.7.zip' and adding 'nfl_data_py-0.2.7' to it
-adding 'nfl_data_py-0.2.7'
-adding 'nfl_data_py-0.2.7\nfl_data_py'
-adding 'nfl_data_py-0.2.7\nfl_data_py.egg-info'
-adding 'nfl_data_py-0.2.7\PKG-INFO'
-adding 'nfl_data_py-0.2.7\README.md'
-adding 'nfl_data_py-0.2.7\setup.cfg'
-adding 'nfl_data_py-0.2.7\setup.py'
-adding 'nfl_data_py-0.2.7\nfl_data_py\__init__.py'
-adding 'nfl_data_py-0.2.7\nfl_data_py.egg-info\dependency_links.txt'
-adding 'nfl_data_py-0.2.7\nfl_data_py.egg-info\PKG-INFO'
-adding 'nfl_data_py-0.2.7\nfl_data_py.egg-info\requires.txt'
-adding 'nfl_data_py-0.2.7\nfl_data_py.egg-info\SOURCES.txt'
-adding 'nfl_data_py-0.2.7\nfl_data_py.egg-info\top_level.txt'
-removing 'nfl_data_py-0.2.7' (and everything under it)
+creating nfl_data_py-0.2.9
+creating nfl_data_py-0.2.9\data
+creating nfl_data_py-0.2.9\data\schedules
+creating nfl_data_py-0.2.9\nfl_data_py
+creating nfl_data_py-0.2.9\nfl_data_py.egg-info
+creating nfl_data_py-0.2.9\nfl_data_py\tests
+creating nfl_data_py-0.2.9\nfl_data_py\tests\__pycache__
+copying files to nfl_data_py-0.2.9...
+copying CHANGELOG.md -> nfl_data_py-0.2.9
+copying CONTRIBUTING.md -> nfl_data_py-0.2.9
+copying LICENSE -> nfl_data_py-0.2.9
+copying MANIFEST.in -> nfl_data_py-0.2.9
+copying README.md -> nfl_data_py-0.2.9
+copying code_of_conduct.md -> nfl_data_py-0.2.9
+copying constraints.txt -> nfl_data_py-0.2.9
+copying setup.py -> nfl_data_py-0.2.9
+copying tox.ini -> nfl_data_py-0.2.9
+copying data\coaching_history.csv -> nfl_data_py-0.2.9\data
+copying data\combine.csv -> nfl_data_py-0.2.9\data
+copying data\drafts.csv -> nfl_data_py-0.2.9\data
+copying data\qbr.csv -> nfl_data_py-0.2.9\data
+copying data\schedules\1999.csv -> nfl_data_py-0.2.9\data\schedules
+copying data\schedules\2000.csv -> nfl_data_py-0.2.9\data\schedules
+copying data\schedules\2001.csv -> nfl_data_py-0.2.9\data\schedules
+copying data\schedules\2002.csv -> nfl_data_py-0.2.9\data\schedules
+copying data\schedules\2003.csv -> nfl_data_py-0.2.9\data\schedules
+copying data\schedules\2004.csv -> nfl_data_py-0.2.9\data\schedules
+copying data\schedules\2005.csv -> nfl_data_py-0.2.9\data\schedules
+copying data\schedules\2006.csv -> nfl_data_py-0.2.9\data\schedules
+copying data\schedules\2007.csv -> nfl_data_py-0.2.9\data\schedules
+copying data\schedules\2008.csv -> nfl_data_py-0.2.9\data\schedules
+copying data\schedules\2009.csv -> nfl_data_py-0.2.9\data\schedules
+copying data\schedules\2010.csv -> nfl_data_py-0.2.9\data\schedules
+copying data\schedules\2011.csv -> nfl_data_py-0.2.9\data\schedules
+copying data\schedules\2012.csv -> nfl_data_py-0.2.9\data\schedules
+copying data\schedules\2013.csv -> nfl_data_py-0.2.9\data\schedules
+copying data\schedules\2014.csv -> nfl_data_py-0.2.9\data\schedules
+copying data\schedules\2015.csv -> nfl_data_py-0.2.9\data\schedules
+copying data\schedules\2016.csv -> nfl_data_py-0.2.9\data\schedules
+copying data\schedules\2017.csv -> nfl_data_py-0.2.9\data\schedules
+copying data\schedules\2018.csv -> nfl_data_py-0.2.9\data\schedules
+copying data\schedules\2019.csv -> nfl_data_py-0.2.9\data\schedules
+copying data\schedules\2020.csv -> nfl_data_py-0.2.9\data\schedules
+copying data\schedules\2021.csv -> nfl_data_py-0.2.9\data\schedules
+copying nfl_data_py\__init__.py -> nfl_data_py-0.2.9\nfl_data_py
+copying nfl_data_py.egg-info\PKG-INFO -> nfl_data_py-0.2.9\nfl_data_py.egg-info
+copying nfl_data_py.egg-info\SOURCES.txt -> nfl_data_py-0.2.9\nfl_data_py.egg-info
+copying nfl_data_py.egg-info\dependency_links.txt -> nfl_data_py-0.2.9\nfl_data_py.egg-info
+copying nfl_data_py.egg-info\requires.txt -> nfl_data_py-0.2.9\nfl_data_py.egg-info
+copying nfl_data_py.egg-info\top_level.txt -> nfl_data_py-0.2.9\nfl_data_py.egg-info
+copying nfl_data_py\tests\nfl_test.py -> nfl_data_py-0.2.9\nfl_data_py\tests
+copying nfl_data_py\tests\__pycache__\nfl_test.cpython-35-pytest-6.1.2.pyc -> nfl_data_py-0.2.9\nfl_data_py\tests\__pycache__
+copying nfl_data_py\tests\__pycache__\nfl_test.cpython-37-pytest-6.2.4.pyc -> nfl_data_py-0.2.9\nfl_data_py\tests\__pycache__
+copying nfl_data_py\tests\__pycache__\nfl_test.cpython-37-pytest-7.1.0.pyc -> nfl_data_py-0.2.9\nfl_data_py\tests\__pycache__
+copying nfl_data_py\tests\__pycache__\nfl_test.cpython-37-pytest-7.1.2.pyc -> nfl_data_py-0.2.9\nfl_data_py\tests\__pycache__
+copying nfl_data_py\tests\__pycache__\nfl_test.cpython-39-pytest-6.2.4.pyc -> nfl_data_py-0.2.9\nfl_data_py\tests\__pycache__
+copying nfl_data_py\tests\__pycache__\nfl_test.cpython-39-pytest-6.2.5.pyc -> nfl_data_py-0.2.9\nfl_data_py\tests\__pycache__
+copying nfl_data_py\tests\__pycache__\nfl_test.cpython-39-pytest-7.1.2.pyc -> nfl_data_py-0.2.9\nfl_data_py\tests\__pycache__
+Writing nfl_data_py-0.2.9\setup.cfg
+creating '.tox\dist\nfl_data_py-0.2.9.zip' and adding 'nfl_data_py-0.2.9' to it
+adding 'nfl_data_py-0.2.9'
+adding 'nfl_data_py-0.2.9\data'
+adding 'nfl_data_py-0.2.9\nfl_data_py'
+adding 'nfl_data_py-0.2.9\nfl_data_py.egg-info'
+adding 'nfl_data_py-0.2.9\CHANGELOG.md'
+adding 'nfl_data_py-0.2.9\code_of_conduct.md'
+adding 'nfl_data_py-0.2.9\constraints.txt'
+adding 'nfl_data_py-0.2.9\CONTRIBUTING.md'
+adding 'nfl_data_py-0.2.9\LICENSE'
+adding 'nfl_data_py-0.2.9\MANIFEST.in'
+adding 'nfl_data_py-0.2.9\PKG-INFO'
+adding 'nfl_data_py-0.2.9\README.md'
+adding 'nfl_data_py-0.2.9\setup.cfg'
+adding 'nfl_data_py-0.2.9\setup.py'
+adding 'nfl_data_py-0.2.9\tox.ini'
+adding 'nfl_data_py-0.2.9\data\schedules'
+adding 'nfl_data_py-0.2.9\data\coaching_history.csv'
+adding 'nfl_data_py-0.2.9\data\combine.csv'
+adding 'nfl_data_py-0.2.9\data\drafts.csv'
+adding 'nfl_data_py-0.2.9\data\qbr.csv'
+adding 'nfl_data_py-0.2.9\data\schedules\1999.csv'
+adding 'nfl_data_py-0.2.9\data\schedules\2000.csv'
+adding 'nfl_data_py-0.2.9\data\schedules\2001.csv'
+adding 'nfl_data_py-0.2.9\data\schedules\2002.csv'
+adding 'nfl_data_py-0.2.9\data\schedules\2003.csv'
+adding 'nfl_data_py-0.2.9\data\schedules\2004.csv'
+adding 'nfl_data_py-0.2.9\data\schedules\2005.csv'
+adding 'nfl_data_py-0.2.9\data\schedules\2006.csv'
+adding 'nfl_data_py-0.2.9\data\schedules\2007.csv'
+adding 'nfl_data_py-0.2.9\data\schedules\2008.csv'
+adding 'nfl_data_py-0.2.9\data\schedules\2009.csv'
+adding 'nfl_data_py-0.2.9\data\schedules\2010.csv'
+adding 'nfl_data_py-0.2.9\data\schedules\2011.csv'
+adding 'nfl_data_py-0.2.9\data\schedules\2012.csv'
+adding 'nfl_data_py-0.2.9\data\schedules\2013.csv'
+adding 'nfl_data_py-0.2.9\data\schedules\2014.csv'
+adding 'nfl_data_py-0.2.9\data\schedules\2015.csv'
+adding 'nfl_data_py-0.2.9\data\schedules\2016.csv'
+adding 'nfl_data_py-0.2.9\data\schedules\2017.csv'
+adding 'nfl_data_py-0.2.9\data\schedules\2018.csv'
+adding 'nfl_data_py-0.2.9\data\schedules\2019.csv'
+adding 'nfl_data_py-0.2.9\data\schedules\2020.csv'
+adding 'nfl_data_py-0.2.9\data\schedules\2021.csv'
+adding 'nfl_data_py-0.2.9\nfl_data_py\tests'
+adding 'nfl_data_py-0.2.9\nfl_data_py\__init__.py'
+adding 'nfl_data_py-0.2.9\nfl_data_py\tests\__pycache__'
+adding 'nfl_data_py-0.2.9\nfl_data_py\tests\nfl_test.py'
+adding 'nfl_data_py-0.2.9\nfl_data_py\tests\__pycache__\nfl_test.cpython-35-pytest-6.1.2.pyc'
+adding 'nfl_data_py-0.2.9\nfl_data_py\tests\__pycache__\nfl_test.cpython-37-pytest-6.2.4.pyc'
+adding 'nfl_data_py-0.2.9\nfl_data_py\tests\__pycache__\nfl_test.cpython-37-pytest-7.1.0.pyc'
+adding 'nfl_data_py-0.2.9\nfl_data_py\tests\__pycache__\nfl_test.cpython-37-pytest-7.1.2.pyc'
+adding 'nfl_data_py-0.2.9\nfl_data_py\tests\__pycache__\nfl_test.cpython-39-pytest-6.2.4.pyc'
+adding 'nfl_data_py-0.2.9\nfl_data_py\tests\__pycache__\nfl_test.cpython-39-pytest-6.2.5.pyc'
+adding 'nfl_data_py-0.2.9\nfl_data_py\tests\__pycache__\nfl_test.cpython-39-pytest-7.1.2.pyc'
+adding 'nfl_data_py-0.2.9\nfl_data_py.egg-info\dependency_links.txt'
+adding 'nfl_data_py-0.2.9\nfl_data_py.egg-info\PKG-INFO'
+adding 'nfl_data_py-0.2.9\nfl_data_py.egg-info\requires.txt'
+adding 'nfl_data_py-0.2.9\nfl_data_py.egg-info\SOURCES.txt'
+adding 'nfl_data_py-0.2.9\nfl_data_py.egg-info\top_level.txt'
+removing 'nfl_data_py-0.2.9' (and everything under it)

CHANGELOG.md

@@ -39,3 +39,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 ### Changed
 - Redirected data pulls to new repos
 
+## [0.2.9] - 2022-08-18
+- Fixed compatibility issue between python and pandas
+
+## [0.2.10] - 2022-08-20
+- Actually fixed issue between python and pandas not resolved in 0.2.9
+- Dropped python 3.5 support from nfl_data_py to allow for parquet file usage
+

nfl_data_py/tests/nfl_test.py

@@ -4,109 +4,130 @@
 import nfl_data_py as nfl
 
 class test_pbp(TestCase):
-    def test_is_df(self):
+    def test_is_df_with_data(self):
         s = nfl.import_pbp_data([2020])
         self.assertEqual(True, isinstance(s, pd.DataFrame))
+        self.assertTrue(len(s) > 0)
 
 class test_weekly(TestCase):
-    def test_is_df(self):
+    def test_is_df_with_data(self):
         s = nfl.import_weekly_data([2020])
         self.assertEqual(True, isinstance(s, pd.DataFrame))
-
+        self.assertTrue(len(s) > 0)
+
 class test_seasonal(TestCase):
-    def test_is_df(self):
+    def test_is_df_with_data(self):
         s = nfl.import_seasonal_data([2020])
         self.assertEqual(True, isinstance(s, pd.DataFrame))
-
+        self.assertTrue(len(s) > 0)
+
 class test_pbp_cols(TestCase):
-    def test_is_list(self):
+    def test_is_list_with_data(self):
         s = nfl.see_pbp_cols()
         self.assertEqual(True, isinstance(set(nfl.see_pbp_cols()), set))
-
+        self.assertTrue(len(s) > 0)
+
 class test_weekly_cols(TestCase):
-    def test_is_list(self):
+    def test_is_list_with_data(self):
         s = nfl.see_weekly_cols()
         self.assertEqual(True, isinstance(set(nfl.see_pbp_cols()), set))
-
+        self.assertTrue(len(s) > 0)
+
 class test_rosters(TestCase):
-    def test_is_df(self):
+    def test_is_df_with_data(self):
         s = nfl.import_rosters([2020])
         self.assertEqual(True, isinstance(s, pd.DataFrame))
-
+        self.assertTrue(len(s) > 0)
+
 class test_team_desc(TestCase):
-    def test_is_df(self):
+    def test_is_df_with_data(self):
         s = nfl.import_team_desc()
         self.assertEqual(True, isinstance(s, pd.DataFrame))
-
+        self.assertTrue(len(s) > 0)
+
 class test_schedules(TestCase):
-    def test_is_df(self):
+    def test_is_df_with_data(self):
         s = nfl.import_schedules([2020])
         self.assertEqual(True, isinstance(s, pd.DataFrame))
-
+        self.assertTrue(len(s) > 0)
+
 class test_wins(TestCase):
-    def test_is_df(self):
+    def test_is_df_with_data(self):
         s = nfl.import_win_totals([2020])
         self.assertEqual(True, isinstance(s, pd.DataFrame))
-
+        self.assertTrue(len(s) > 0)
+
 class test_officials(TestCase):
-    def test_is_df(self):
+    def test_is_df_with_data(self):
         s = nfl.import_officials([2020])
         self.assertEqual(True, isinstance(s, pd.DataFrame))
-
+        self.assertTrue(len(s) > 0)
+
 class test_draft_picks(TestCase):
-    def test_is_df(self):
+    def test_is_df_with_data(self):
         s = nfl.import_draft_picks([2020])
         self.assertEqual(True, isinstance(s, pd.DataFrame))		
-
+        self.assertTrue(len(s) > 0)
+
 class test_draft_values(TestCase):
-    def test_is_df(self):
+    def test_is_df_with_data(self):
         s = nfl.import_draft_values()
         self.assertEqual(True, isinstance(s, pd.DataFrame))
-
+        self.assertTrue(len(s) > 0)
+
 class test_combine(TestCase):
-    def test_is_df(self):
+    def test_is_df_with_data(self):
         s = nfl.import_combine_data([2020])
         self.assertEqual(True, isinstance(s, pd.DataFrame))
-
+        self.assertTrue(len(s) > 0)
+
 class test_ids(TestCase):
-    def test_is_df(self):
+    def test_is_df_with_data(self):
         s = nfl.import_ids()
         self.assertEqual(True, isinstance(s, pd.DataFrame))
+        self.assertTrue(len(s) > 0)
 
 class test_ngs(TestCase):
-    def test_is_df(self):
+    def test_is_df_with_data(self):
         s = nfl.import_ngs_data('passing')
         self.assertEqual(True, isinstance(s, pd.DataFrame))
+        self.assertTrue(len(s) > 0)
 
 class test_clean(TestCase):
-    def test_is_df(self):
+    def test_is_df_with_data(self):
         s = nfl.clean_nfl_data(nfl.import_weekly_data([2020]))
         self.assertEqual(True, isinstance(s, pd.DataFrame))
-
+        self.assertTrue(len(s) > 0)
+
 class test_depth_charts(TestCase):
-    def test_is_df(self):
+    def test_is_df_with_data(self):
         s = nfl.import_depth_charts([2020])
         self.assertEqual(True, isinstance(s, pd.DataFrame))
+        self.assertTrue(len(s) > 0)
 
 class test_injuries(TestCase):
-    def test_is_df(self):
+    def test_is_df_with_data(self):
         s = nfl.import_injuries([2020])
         self.assertEqual(True, isinstance(s, pd.DataFrame))
+        self.assertTrue(len(s) > 0)
 
 class test_qbr(TestCase):
-    def test_is_df(self):
+    def test_is_df_with_data(self):
         s = nfl.import_qbr()
         self.assertEqual(True, isinstance(s, pd.DataFrame))
-
+        self.assertTrue(len(s) > 0)
+
 class test_pfr(TestCase):
-    def test_is_df(self):
+    def test_is_df_with_data(self):
         s = nfl.import_pfr('pass')
         self.assertEqual(True, isinstance(s, pd.DataFrame))
+        self.assertTrue(len(s) > 0)
 
 class test_snaps(TestCase):
-    def test_is_df(self):
+    def test_is_df_with_data(self):
         s = nfl.import_snap_counts([2020])
         self.assertEqual(True, isinstance(s, pd.DataFrame))
+        self.assertTrue(len(s) > 0)
 
 class test_cache(TestCase):
     def test_cache(self):

setup.py

@@ -17,15 +17,16 @@
 URL = 'https://github.com/cooperdff/nfl_data_py'
 EMAIL = '[email protected]'
 AUTHOR = 'cooperdff'
-REQUIRES_PYTHON = '>=3.5.0'
-VERSION = '0.2.7'
+REQUIRES_PYTHON = '>=3.6.0'
+VERSION = '0.2.10'
 
 
 # What packages are required for this module to be executed?
 REQUIRED = [
-    'pandas>=1.3.5',
-    'appdirs>=1.4.4',
-    'fastparquet>=0.8.1',
+    'pandas>1',
+    'appdirs>1',
+    'fastparquet>0.5',
+    'python-snappy>0.5'
 ]
 
 # What packages are optional?

tox.ini

@@ -1,8 +1,9 @@
 # content of: tox.ini , put in same dir as setup.py
 [tox]
-envlist = python3.5,python3.6,python3.7,python3.8,python3.9
+envlist = python3.6,python3.7,python3.8,python3.9
 [testenv]
 deps = pytest
 # run the tests
 # ... or run any other command line tool you need to run here
 commands = pytest
+download = True