Laden von Daten der letzten 48 Stunden eines Messpunktes und Konvertierung in pandas.DataFrame
import lmapi from lmapi.LMApi import LMApi import lmapi.pandas_tools as ptools from datetime import datetime, timedelta # load the datastream object datastream = a.load('custom_key/datastream_alias')
# load some data dt_to = datetime.utcnow() dt_from = dt_to-timedelta(hours=48) data = datastream_temp.load_data(dt_from, dt_to, granularity='PT10M')
# convert result into a pandas.DataFrame dataframe = ptools.to_dataframe(data) print(dataframe.head())
import lmapi from lmapi.LMApi import LMApi import lmapi.pandas_tools as ptools from datetime import datetime, timedelta # load the datastream object datastream = a.load('custom_key/datastream_alias') # load some data dt_to = datetime.utcnow() dt_from = dt_to-timedelta(hours=48) data = datastream_temp.load_data(dt_from, dt_to, granularity='PT10M') # convert result into a pandas.DataFrame dataframe = ptools.to_dataframe(data) print(dataframe.head())