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AddNote v1

../_images/AddNote-v1_dlg.png

AddNote dialog.

Warning

AddNote is deprecated. Use Comment version 1 instead.

Summary

Adds a timestamped note to a workspace.

See Also

Comment

Properties

Name

Direction

Type

Default

Description

Workspace

InOut

MatrixWorkspace

Mandatory

An InOut workspace that will store the new log information

Name

Input

string

Mandatory

A String name for either a new time series log to be created or an existing name to update

Time

Input

string

An ISO formatted date/time string specifying the timestamp for the given log value, for example 2010-09-14T04:20:12 If left blank, this will default to the current Date and Time

Value

Input

string

Mandatory

A String value for the series log at the given time

DeleteExisting

Input

boolean

False

If true and the named log exists then the whole log is removed first.

Description

Creates/updates a time-series log entry on a chosen workspace. The given time stamp and value are appended to the named log entry. If the named entry does no exist, then a new log is created. A time stamp must be given in ISO8601 format, e.g. 2010-09-14T04:20:12.

Usage

Example - AddNote

import numpy as np
# Create a host workspace
ws = CreateSampleWorkspace()

AddNote(ws, Name="my_log", Time="2014-01-01T00:00:00", Value="Initial")
AddNote(ws, Name="my_log", Time="2014-01-01T00:30:30", Value="Second")
AddNote(ws, Name="my_log", Time="2014-01-01T00:50:00", Value="Final")

log = ws.getRun().getLogData("my_log")
print("my_log has {} entries".format(log.size()))
for time, value in zip(log.times, log.value):
        ts = np.datetime_as_string(time.astype(np.dtype('M8[s]')), timezone='UTC')
        print("\t{}\t{}".format(ts, value))

AddNote(ws, Name="my_log", Time="2014-01-01T00:00:00", Value="New Initial", DeleteExisting=True)
AddNote(ws, Name="my_log", Time="2014-01-01T00:30:00", Value="New Final")

log = ws.getRun().getLogData("my_log")
print("my_log now has {} entries".format(log.size()))
for time, value in zip(log.times, log.value):
        ts = np.datetime_as_string(time.astype(np.dtype('M8[s]')), timezone='UTC')
        print("\t{}\t{}".format(ts, value))

Output:

    my_log has 3 entries
        2014-01-01T00:00:00Z     Initial
        2014-01-01T00:30:30Z     Second
        2014-01-01T00:50:00Z     Final
my_log now has 2 entries
        2014-01-01T00:00:00Z     New Initial
        2014-01-01T00:30:00Z     New Final

Categories: AlgorithmIndex | DataHandling\Logs | Deprecated