bars_3.py

#create dataframe from lists
df = pd.DataFrame(
    {'time': [datetime.strptime(x,"%Y-%m-%dT%H:%M:%S.%fZ") for x in time], #formatting our timestamp
     'open': [float(x.strip('0')) for x in open], #removing trailing 0's and converting to float
     'high': [float(x.strip('0')) for x in high],
     'low': [float(x.strip('0')) for x in low],
     'close': [float(x.strip('0')) for x in close],
     'vol': [float(x.strip('0')) for x in vol]
    })

#create dictionary from dataframe
df_dict = df.to_dict('records') 

#df_dict should look something like this
#[{'close': 19269.58,
#  'high': 19279.54,
#  'low': 19269.58,
#  'open': 19277.78,
#  'time': Timestamp('2020-12-15 11:42:00'),
#  'vol': 8.04629723},
# {'close': 19280.0,
#  'high': 19280.0,
#  'low': 19269.5,
#  'open': 19269.5,
#  'time': Timestamp('2020-12-15 11:43:00'),
#  'vol': 4.75698706},
#........................