Skip the float64 copy of pandas and Polars input

talib/__init__.py

@@ -58,19 +58,19 @@ def wrapper(*args, **kwds):
 
             # Use float64 values if polars or pandas, else use values as passed
             if use_pl:
-                _args = [arg.to_numpy().astype(float) if isinstance(arg, _pl_Series) else
+                _args = [arg.to_numpy().astype(float, copy=False) if isinstance(arg, _pl_Series) else
                          arg for arg in args]
-                _kwds = {k: v.to_numpy().astype(float) if isinstance(v, _pl_Series) else
+                _kwds = {k: v.to_numpy().astype(float, copy=False) if isinstance(v, _pl_Series) else
                             v for k, v in kwds.items()}
 
             elif use_pd:
                 index = next(arg.index
                              for arg in chain(args, kwds.values())
                              if isinstance(arg, _pd_Series))
 
-                _args = [arg.to_numpy().astype(float) if isinstance(arg, _pd_Series) else
+                _args = [arg.to_numpy().astype(float, copy=False) if isinstance(arg, _pd_Series) else
                          arg for arg in args]
-                _kwds = {k: v.to_numpy().astype(float) if isinstance(v, _pd_Series) else
+                _kwds = {k: v.to_numpy().astype(float, copy=False) if isinstance(v, _pd_Series) else
                             v for k, v in kwds.items()}
 
             else:

talib/_abstract.pxi

@@ -502,10 +502,10 @@ class Function(object):
             series = local.input_arrays[price_series]
             if _PANDAS_SERIES is not None and \
                     isinstance(series, _PANDAS_SERIES):
-                series = series.values.astype(float)
+                series = series.values.astype(float, copy=False)
             elif _POLARS_SERIES is not None and \
                     isinstance(series, _POLARS_SERIES):
-                series = series.to_numpy().astype(float)
+                series = series.to_numpy().astype(float, copy=False)
             args.append(series)
         for opt_input in local.opt_inputs:
             value = self.__get_opt_input_value(opt_input)

talib/_stream.pxi

@@ -2894,7 +2894,7 @@ cdef np.ndarray _stream_input(object values):
         return check_array(values)
     for series in (_PANDAS_SERIES, _POLARS_SERIES):
         if series is not None and isinstance(values, series):
-            return check_array(values.to_numpy().astype(float))
+            return check_array(values.to_numpy().astype(float, copy=False))
     raise TypeError("input must be a numpy array or a pandas or polars Series, "
                     "not %s" % type(values).__name__)