nonzero value error in _bool_is_same -> series inputs

[jzmejia]

Passing a series (empty) to is same. Need work around

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-39-6176c7133a7e> in <module>
      1 eorm_vel = c_rolling(c_rolling(eorm17.vel,'6H',min_periods=100)['2017-8-5':'2017-8-20'],'6H').dropna()
      2 
----> 3 eorm17_diurnal = DiurnalExtrema(eorm_vel,generate_figure=True)

~/WorkingDir/GrIS/X_PYTHON-CODES/datatools/diurnal.py in __init__(self, timeseries, minfirst, maxnextday, predictTiming, window, threshold, generate_figure, stn, **kwargs)
    161         self.diurnal_vals = []
    162 
--> 163         self.df = self.find_diurnal_extrema()
    164         if self.generate_figure:
    165             self.plot()

~/WorkingDir/GrIS/X_PYTHON-CODES/datatools/diurnal.py in find_diurnal_extrema(self)
    227             else:
    228                 # find diurnal minimum
--> 229                 minVal, minTime = self.get_real_extrema(
    230                     self.timeseries, day, 'min')
    231                 if self.minfirst and self.maxnextday:

~/WorkingDir/GrIS/X_PYTHON-CODES/datatools/diurnal.py in get_real_extrema(self, ts, window, min_or_max)
    374             extremaTuple = self.get_extrema(
    375                 ts[window[0]:window[1]], min_or_max)
--> 376             if not on_boundary(ts, window, extremaTuple, min_or_max):
    377                 extremaTuple = (None, None)
    378         return extremaTuple

~/WorkingDir/GrIS/X_PYTHON-CODES/datatools/diurnal.py in on_boundary(timeseries, window, extrema_tuple, val_type)
    525                 bound = get_index_of_bound(
    526                     timeseries, window, start_or_end[idx])
--> 527             if _bool_is_same(bound, extrema_time):
    528                 boundary_ok = bool_check_around_bound(timeseries, bound,
    529                                                       extrema_tuple, val_type)

~/WorkingDir/GrIS/X_PYTHON-CODES/datatools/diurnal.py in _bool_is_same(val1, val2)
    417 
    418 def _bool_is_same(val1, val2):
--> 419     return True if val1 == val2 else False
    420 
    421 

~/WorkingDir/GrIS/X_PYTHON-CODES/move/lib/python3.8/site-packages/pandas/core/generic.py in __nonzero__(self)
   1327 
   1328     def __nonzero__(self):
-> 1329         raise ValueError(
   1330             f"The truth value of a {type(self).__name__} is ambiguous. "
   1331             "Use a.empty, a.bool(), a.item(), a.any() or a.all()."

ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

[jzmejia]

You can not currently pass timeseries with dtype pd.DataFrame, only accepts pd.Series timeseries data.