ENH #199 core no mp option MAINT notebook refresh

examples/PandasTA_Strategy_Examples.ipynb

@@ -86,7 +86,7 @@
      "text": [
       "name = All\n",
       "description = All the indicators with their default settings. Pandas TA default.\n",
-      "created = 01/23/2021, 12:36:24\n",
+      "created = 02/02/2021, 12:59:41\n",
       "ta = None\n"
      ]
     }
@@ -117,7 +117,7 @@
      "text": [
       "name = Common Price and Volume SMAs\n",
       "description = Common Price SMAs: 10, 20, 50, 200 and Volume SMA: 20.\n",
-      "created = 01/23/2021, 12:36:24\n",
+      "created = 02/02/2021, 12:59:41\n",
       "ta = [{'kind': 'sma', 'length': 10}, {'kind': 'sma', 'length': 20}, {'kind': 'sma', 'length': 50}, {'kind': 'sma', 'length': 200}, {'kind': 'sma', 'close': 'volume', 'length': 20, 'prefix': 'VOL'}]\n"
      ]
     }
@@ -159,7 +159,7 @@
     {
      "data": {
       "text/plain": [
-       "Strategy(name='A', ta=[{'kind': 'sma', 'length': 50}, {'kind': 'sma', 'length': 200}], description='TA Description', created='01/23/2021, 12:36:24')"
+       "Strategy(name='A', ta=[{'kind': 'sma', 'length': 50}, {'kind': 'sma', 'length': 200}], description='TA Description', created='02/02/2021, 12:59:41')"
       ]
      },
      "execution_count": 4,
@@ -187,7 +187,7 @@
     {
      "data": {
       "text/plain": [
-       "Strategy(name='B', ta=[{'kind': 'ema', 'length': 8}, {'kind': 'ema', 'length': 21}, {'kind': 'log_return', 'cumulative': True}, {'kind': 'rsi'}, {'kind': 'supertrend'}], description='TA Description', created='01/23/2021, 12:36:24')"
+       "Strategy(name='B', ta=[{'kind': 'ema', 'length': 8}, {'kind': 'ema', 'length': 21}, {'kind': 'log_return', 'cumulative': True}, {'kind': 'rsi'}, {'kind': 'supertrend'}], description='TA Description', created='02/02/2021, 12:59:41')"
       ]
      },
      "execution_count": 5,
@@ -215,7 +215,7 @@
     {
      "data": {
       "text/plain": [
-       "Strategy(name='Runtime Failure', ta=[{'kind': 'percet_return'}], description='TA Description', created='01/23/2021, 12:36:24')"
+       "Strategy(name='Runtime Failure', ta=[{'kind': 'percet_return'}], description='TA Description', created='02/02/2021, 12:59:41')"
       ]
      },
      "execution_count": 6,
@@ -814,7 +814,7 @@
     {
      "data": {
       "text/plain": [
-       "Strategy(name='A', ta=[{'kind': 'sma', 'length': 50}, {'kind': 'sma', 'length': 200}], description='TA Description', created='01/23/2021, 12:36:24')"
+       "Strategy(name='A', ta=[{'kind': 'sma', 'length': 50}, {'kind': 'sma', 'length': 200}], description='TA Description', created='02/02/2021, 12:59:41')"
       ]
      },
      "execution_count": 14,
@@ -1039,7 +1039,7 @@
     {
      "data": {
       "text/plain": [
-       "Strategy(name='B', ta=[{'kind': 'ema', 'length': 8}, {'kind': 'ema', 'length': 21}, {'kind': 'log_return', 'cumulative': True}, {'kind': 'rsi'}, {'kind': 'supertrend'}], description='TA Description', created='01/23/2021, 12:36:24')"
+       "Strategy(name='B', ta=[{'kind': 'ema', 'length': 8}, {'kind': 'ema', 'length': 21}, {'kind': 'log_return', 'cumulative': True}, {'kind': 'rsi'}, {'kind': 'supertrend'}], description='TA Description', created='02/02/2021, 12:59:41')"
       ]
      },
      "execution_count": 16,
@@ -1369,7 +1369,7 @@
     {
      "data": {
       "text/plain": [
-       "Strategy(name='Runtime Failure', ta=[{'kind': 'percet_return'}], description='TA Description', created='01/23/2021, 12:36:24')"
+       "Strategy(name='Runtime Failure', ta=[{'kind': 'percet_return'}], description='TA Description', created='02/02/2021, 12:59:41')"
       ]
      },
      "execution_count": 18,
@@ -1435,7 +1435,7 @@
     {
      "data": {
       "text/plain": [
-       "Strategy(name='Volume MAs and Price MA chain', ta=[{'kind': 'ema', 'close': 'volume', 'length': 10, 'prefix': 'VOLUME'}, {'kind': 'sma', 'close': 'volume', 'length': 20, 'prefix': 'VOLUME'}, {'kind': 'ema', 'length': 5}, {'kind': 'linreg', 'close': 'EMA_5', 'length': 8, 'prefix': 'EMA_5'}], description='TA Description', created='01/23/2021, 12:36:24')"
+       "Strategy(name='Volume MAs and Price MA chain', ta=[{'kind': 'ema', 'close': 'volume', 'length': 10, 'prefix': 'VOLUME'}, {'kind': 'sma', 'close': 'volume', 'length': 20, 'prefix': 'VOLUME'}, {'kind': 'ema', 'length': 5}, {'kind': 'linreg', 'close': 'EMA_5', 'length': 8, 'prefix': 'EMA_5'}], description='TA Description', created='02/02/2021, 12:59:41')"
       ]
      },
      "execution_count": 20,
@@ -1736,7 +1736,7 @@
     {
      "data": {
       "text/plain": [
-       "Strategy(name='MACD BBands', ta=[{'kind': 'macd'}, {'kind': 'bbands', 'close': 'MACD_12_26_9', 'length': 20, 'prefix': 'MACD'}], description='BBANDS_20 applied to MACD', created='01/23/2021, 12:36:24')"
+       "Strategy(name='MACD BBands', ta=[{'kind': 'macd'}, {'kind': 'bbands', 'close': 'MACD_12_26_9', 'length': 20, 'prefix': 'MACD'}], description='BBANDS_20 applied to MACD', created='02/02/2021, 12:59:41')"
       ]
      },
      "execution_count": 23,
@@ -2095,7 +2095,7 @@
     {
      "data": {
       "text/plain": [
-       "Strategy(name='Momo, Bands and SMAs and Cumulative Log Returns', ta=[{'kind': 'sma', 'length': 50}, {'kind': 'sma', 'length': 200}, {'kind': 'bbands', 'length': 20}, {'kind': 'macd'}, {'kind': 'rsi'}, {'kind': 'log_return', 'cumulative': True}, {'kind': 'sma', 'close': 'CUMLOGRET_1', 'length': 5, 'suffix': 'CUMLOGRET'}], description='MACD and RSI Momo with BBANDS and SMAs 50 & 200 and Cumulative Log Returns', created='01/23/2021, 12:36:24')"
+       "Strategy(name='Momo, Bands and SMAs and Cumulative Log Returns', ta=[{'kind': 'sma', 'length': 50}, {'kind': 'sma', 'length': 200}, {'kind': 'bbands', 'length': 20}, {'kind': 'macd'}, {'kind': 'rsi'}, {'kind': 'log_return', 'cumulative': True}, {'kind': 'sma', 'close': 'CUMLOGRET_1', 'length': 5, 'suffix': 'CUMLOGRET'}], description='MACD and RSI Momo with BBANDS and SMAs 50 & 200 and Cumulative Log Returns', created='02/02/2021, 12:59:41')"
       ]
      },
      "execution_count": 26,
@@ -2419,7 +2419,7 @@
     {
      "data": {
       "text/plain": [
-       "Strategy(name='EMA, MACD History, Outter BBands, Log Returns', ta=[{'kind': 'ema', 'params': (10,)}, {'kind': 'macd', 'params': (9, 19, 10), 'col_numbers': (1,)}, {'kind': 'bbands', 'col_numbers': (0, 2), 'col_names': ('LB', 'UB')}, {'kind': 'log_return', 'params': (5, False)}], description='EMA, MACD History, BBands(LB, UB), and Log Returns Strategy', created='01/23/2021, 12:36:24')"
+       "Strategy(name='EMA, MACD History, Outter BBands, Log Returns', ta=[{'kind': 'ema', 'params': (10,)}, {'kind': 'macd', 'params': (9, 19, 10), 'col_numbers': (1,)}, {'kind': 'bbands', 'col_numbers': (0, 2), 'col_names': ('LB', 'UB')}, {'kind': 'log_return', 'params': (5, False)}], description='EMA, MACD History, BBands(LB, UB), and Log Returns Strategy', created='02/02/2021, 12:59:41')"
       ]
      },
      "execution_count": 29,

pandas_ta/core.py

@@ -361,11 +361,7 @@ class AnalysisIndicators(BasePandasObject):
         if "append" in kwargs and kwargs["append"]:
             df = self._df
             na_columns = self._check_na_columns()
-            if df is None or result is None:
-                return
-            elif len(na_columns):
-                print(f"[X] {result.name} column(s) values are all na: {', '.join(na_columns)}")
-                return
+            if df is None or result is None: return
             else:
                 if isinstance(result, pd.DataFrame):
                     # If specified in kwargs, rename the columns. If not, use

setup.py

@@ -17,7 +17,7 @@ setup(
         "pandas_ta.volatility",
         "pandas_ta.volume"
     ],
-    version=".".join(("0", "2", "42b")),
+    version=".".join(("0", "2", "43b")),
     description=long_description,
     long_description=long_description,
     author="Kevin Johnson",

tests/test_strategy.py

@@ -183,7 +183,7 @@ class TestStrategyMethods(TestCase):
         self.category = "Volume"
         self.data.ta.strategy(self.category, verbose=verbose, timed=strategy_timed)
 
-    # @skip
+    # @skipUnless(verbose, "verbose mode only")
     def test_all_no_multiprocessing(self):
         self.category = "All with No Multiprocessing"
 
@@ -192,7 +192,7 @@ class TestStrategyMethods(TestCase):
         self.data.ta.strategy(verbose=verbose, timed=strategy_timed)
         self.data.ta.cores = cores
 
-    # @skip
+    # @skipUnless(verbose, "verbose mode only")
     def test_custom_no_multiprocessing(self):
         self.category = "Custom A with No Multiprocessing"
 
@@ -215,5 +215,4 @@ class TestStrategyMethods(TestCase):
             "Common indicators with specific lengths and a chained indicator",  # description
         )
         self.data.ta.strategy(custom, verbose=verbose, timed=strategy_timed)
-
         self.data.ta.cores = cores