Return Type

Method

Description

  list[trandData]

readData( name, start, end )

Obtain the history of trend group for the period entered by users.

  trandData

readDataOnTime( name, date )

Users obtain the history of the trend group at a specified time.

  list[trandData] readData( name:Trand group name, start:Start time, end:End time )

  readData obtains the data of trend groups between the start time and the end time as a list.

        ㆍ Enter the name of trend groups to name as String.

        ㆍ Enter the start time to start using Python datetime.

        ㆍ Enter the end time to end using Python datetime.

        ※ Refer Python script datetime object usage.

  The usage of history information is introduced on trandData.

  Example)

       import datetime       # This is the statement for using Python datetime.

       st = datetime.datetime(2014, 1, 1, 0, 0, 0)  # Set the start time as 2014-1-1 0:00:00.

       et = datetime.datetime(2014, 1, 7, 0, 0, 0)  # Set the end time as 2014-1-7 0:00:00.

       dataset = logTrand.readData('Trand data set 1', st, et)

       # dataset saves the data of Trand data set 1 between 2014-1-1 0:00:00 to 2014-1-7 0:00:00.

  trandData readDataOnTime( name:Trand group name, date:Search date )

  readDataOnTime obtains the data of the trend group at a specified time by setting the time of data.

        ㆍ Enter the name of trend groups to name as String.

        ㆍ Enter the search date to date using Python datetime.

        ㆍ Precautions when entering the desired time.

                - Set the time according to the storage time of trend groups.

                - If the trend group is saved in 1 second interval, the user must set datetime up to the second. If the trend group is saved in 60 seconds interval, the user must set datetime up to the minute.

                - The trend group saved in an hour interval and the user must set the time by computing the saving time.

                - The collection period of trend groups can be checked in Data Explorer.

        ※ Refer Python script datetime object usage.

  The usage of history information is introduced on trandData.

  Example)

       import datetime       # This is the statement for using Python datetime.

       tm = datetime.datetime(2014, 1, 1, 1, 0, 1)  << Set the search time as 2014-1-1 1:00:01.

       dataset = logTrand.readDataOnTime('Trand data set 1', tm )

       # If the storage period of trand data set 1 is a second, obtains the history data at 2014-1-1 1:00:01.

       tm = datetime.datetime(2014, 1, 1, 2, 30, 0)  << Set the search time as 2014-1-1 2:30:00.

       dataset = logTrand.readDataOnTime('Trand data set 2', tm )

       # If the storage period of trand data set 2 is 30 minutes, obtains the history data at 2014-1-1 2:30:00.