Add row to pandas_ta dataframe and recompute

add_row.py

import pandas as pd
import pandas_ta as ta
from dateutil import parser

df = pd.read_csv('AUD_CAD.csv', sep=',', names=[
                 'datetime', 'bid_open', 'bid_high', 'bid_low', 'bid_close', 'ask_open', 'ask_high', 'ask_low', 'ask_close', 'mid_open', 'mid_high', 'mid_low', 'mid_close', 'volume'], error_bad_lines=False, parse_dates=['datetime'])

df.ta.atr(append=True, high='bid_high', low='bid_low', close='bid_close')

print(df)

newdt = parser.isoparse('2020-08-11 21:00:00+00:00')
newrow = {'datetime': newdt, 'bid_open': 0.94971, 'bid_low': 0.94955, 'bid_high': 0.94982, 'bid_close': 0.94969, 'ask_open': 0.94973, 'ask_high': 0.95532,
          'ask_low': 0.94957, 'ask_close': 0.95031, 'mid_open': 0.95472, 'mid_high': 0.95738, 'mid_low': 0.94949, 'mid_close': 0.94998, 'volume': 112333}

df = df.append(newrow, ignore_index=True)

df.ta.atr(append=True, high='bid_high', low='bid_low', close='bid_close')

print(df)

Sample data for this gist: https://gist.github.com/pbrumblay/5bc4aa4499099c2c8afbf61e188174c9