BUG BBANDS default length reflecting talib default

pandas_ta/volatility/bbands.py

@@ -9,7 +9,7 @@ def bbands(close, length=None, std=None, mamode=None, offset=None, **kwargs):
     """Indicator: Bollinger Bands (BBANDS)"""
     # Validate arguments
     close = verify_series(close)
-    length = int(length) if length and length > 0 else 20
+    length = int(length) if length and length > 0 else 5
     min_periods = int(kwargs['min_periods']) if 'min_periods' in kwargs and kwargs['min_periods'] is not None else length
     std = float(std) if std and std > 0 else 2.
     mamode = mamode.lower() if mamode else 'sma'

setup.py

@@ -6,7 +6,7 @@ long_description = "An easy to use Python 3 Pandas Extension with 95+ Technical
 setup(
     name ="pandas_ta",
     packages =['pandas_ta', 'pandas_ta.momentum', 'pandas_ta.overlap', 'pandas_ta.performance', 'pandas_ta.statistics', 'pandas_ta.trend', 'pandas_ta.volatility', 'pandas_ta.volume'],
-    version ="0.1.49b",
+    version ="0.1.50b",
     description =long_description,
     long_description =long_description,
     author ="Kevin Johnson",

tests/test_indicator_volatility.py

@@ -62,11 +62,11 @@ class TestVolatility(TestCase):
     def test_bbands(self):
         result = pandas_ta.bbands(self.close)
         self.assertIsInstance(result, DataFrame)
-        self.assertEqual(result.name, 'BBANDS_20')
+        self.assertEqual(result.name, 'BBANDS_5')
 
         try:
             expected = tal.BBANDS(self.close)
-            expecteddf = DataFrame({'BBL_20': expected[0], 'BBM_20': expected[1], 'BBU_20': expected[2]})
+            expecteddf = DataFrame({'BBL_5': expected[0], 'BBM_5': expected[1], 'BBU_5': expected[2]})
             pdt.assert_frame_equal(result, expecteddf)
         except AssertionError as ae:
             try:

tests/test_indicator_volatility_ext.py

@@ -38,7 +38,7 @@ class TestVolatilityExtension(TestCase):
     def test_bbands_ext(self):
         self.data.ta.bbands(append=True)
         self.assertIsInstance(self.data, DataFrame)
-        self.assertEqual(list(self.data.columns[-3:]), ['BBL_20', 'BBM_20', 'BBU_20'])
+        self.assertEqual(list(self.data.columns[-3:]), ['BBL_5', 'BBM_5', 'BBU_5'])
 
     def test_donchian_ext(self):
         self.data.ta.donchian(append=True)