def _ewma(v):
result = algos.ewma(v, com, int(adjust))
first_index = _first_valid_index(v)
result[first_index: first_index + min_periods] = NaN
return result
def _ewma(v):
result = algos.ewma(v, com, int(adjust), int(ignore_na))
if min_periods > 1:
first_index = _first_valid_index(v)
result[first_index:first_index + min_periods - 1] = NaN
return result
def _ewma(v):
return algos.ewma(v, com, int(adjust), int(ignore_na),
int(min_periods))
def _ewma(v):
result = algos.ewma(v, com, int(adjust))
first_index = _first_valid_index(v)
result[first_index: first_index + min_periods] = NaN
return result
def _ewma(v):
result = algos.ewma(v, com, int(adjust), int(ignore_na))
if min_periods > 1:
first_index = _first_valid_index(v)
result[first_index: first_index + min_periods - 1] = NaN
return result
def _ewma(v):
return algos.ewma(v, com, int(adjust), int(ignore_na), int(min_periods))
