def _ewma(v):
result = _tseries.ewma(v, com)
first_index = _first_valid_index(v)
result[first_index:first_index + min_periods] = NaN
return result
def _ewma(v):
result = _tseries.ewma(v, com)
first_index = _first_valid_index(v)
result[first_index : first_index + min_periods] = NaN
return result
def _ewma(v):
result = lib.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 = lib.ewma(v, com, int(adjust))
first_index = _first_valid_index(v)
result[first_index : first_index + min_periods] = NaN
return result