Source code for pandas_ta.overlap.midpoint

# -*- coding: utf-8 -*-
from pandas_ta import Imports
from pandas_ta.utils import get_offset, verify_series

[docs]def midpoint(close, length=None, talib=None, offset=None, **kwargs): """Indicator: Midpoint""" # Validate arguments length = int(length) if length and length > 0 else 2 min_periods = int(kwargs["min_periods"]) if "min_periods" in kwargs and kwargs["min_periods"] is not None else length close = verify_series(close, max(length, min_periods)) offset = get_offset(offset) mode_tal = bool(talib) if isinstance(talib, bool) else True if close is None: return # Calculate Result if Imports["talib"] and mode_tal: from talib import MIDPOINT midpoint = MIDPOINT(close, length) else: lowest = close.rolling(length, min_periods=min_periods).min() highest = close.rolling(length, min_periods=min_periods).max() midpoint = 0.5 * (lowest + highest) # Offset if offset != 0: midpoint = midpoint.shift(offset) # Handle fills if "fillna" in kwargs: midpoint.fillna(kwargs["fillna"], inplace=True) if "fill_method" in kwargs: midpoint.fillna(method=kwargs["fill_method"], inplace=True) # Name and Categorize it = f"MIDPOINT_{length}" midpoint.category = "overlap" return midpoint