Comments (5)
from ta-lib-python.
What is df.ta.strategyOn Dec 28, 2023, at 9:50 AM, shingtat2 @.*> wrote: Hi all, Anyone can help on my issue? environment Python 3.10.11 Ta-lib installed Code: df.ta.strategy(verbose=False, append=True) Keep looping below message and stuck forever: C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.10_3.10.3056.0_x64__qbz5n2kfra8p0\lib\multiprocessing\pool.py:48: FutureWarning: Series.getitem treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use ser.iloc[pos] return list(map(args)) Have tried all ways to disable warnings eg: # Save the current warning settings current_warnings = warnings.filters.copy() # Suppress all warnings warnings.filterwarnings('ignore') # Redirect standard output to null sys.stdout = open(os.devnull, 'w') # Suppress logging logger = logging.getLogger() original_level = logger.getEffectiveLevel() logger.setLevel(logging.CRITICAL + 1) # Suppress only FutureWarnings warnings.simplefilter(action='ignore', category=FutureWarning) warnings.simplefilter(action='ignore', category=all) —Reply to this email directly, view it on GitHub, or unsubscribe.You are receiving this because you are subscribed to this thread.Message ID: @.>
It's "all" strategy by default
from ta-lib-python.
from ta-lib-python.
Right but that code doesn’t come from this project, so without knowing what it is; I can’t help.
…
On Thu, Dec 28, 2023 at 10:04 AM shingtat2 @.> wrote: What is df.ta.strategyOn Dec 28, 2023, at 9:50 AM, shingtat2 @.> wrote: Hi all, Anyone can help on my issue? environment Python 3.10.11 Ta-lib installed Code: df.ta.strategy(verbose=False, append=True) Keep looping below message and stuck forever: C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.10_3.10.3056.0_x64__qbz5n2kfra8p0\lib\multiprocessing\pool.py:48: FutureWarning: Series.getitem treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use ser.iloc[pos] return list(map(args)) Have tried all ways to disable warnings eg: # Save the current warning settings current_warnings = warnings.filters.copy() # Suppress all warnings warnings.filterwarnings('ignore') # Redirect standard output to null sys.stdout = open(os.devnull, 'w') # Suppress logging logger = logging.getLogger() original_level = logger.getEffectiveLevel() logger.setLevel(logging.CRITICAL + 1) # Suppress only FutureWarnings warnings.simplefilter(action='ignore', category=FutureWarning) warnings.simplefilter(action='ignore', category=all) —Reply to this email directly, view it on GitHub, or unsubscribe.You are receiving this because you are subscribed to this thread.Message ID: @.> It's "all" strategy by default — Reply to this email directly, view it on GitHub <#630 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AAAF5AZWIBP5GXVOETTMUHDYLWYCZAVCNFSM6AAAAABBFX7W2SVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTQNZRGM4DMNZYGM . You are receiving this because you commented.Message ID: @.***>
import pandas_ta as ta
I use pandas_ta and it says the all strategy has to install the ta-lib as well.
so did I come to the wrong place, should I go to the pandas-ta section?
from ta-lib-python.
from ta-lib-python.
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from ta-lib-python.