I am trying to auto set the axis on the tag dropped. So if I have 3 plots already (“A”,“kW”,“V”).
If I add in a new voltage tag it adds into the “A” plot instead of the “V” plot.
Is there a way to change the “Defualt Axis” to whatever the ENG unit of the tag is.
#Set up the chart defaults.
default = ['DefaultName', # name
'[~]DefaultPath', # tag_path
'MinMax', # aggregation_mode
'Default Axis', # axis
1, # subplot
True, # enabled
"color(255,0,0,255)", # color
'', # dash_pattern
1, # render_style
1.0, # line_weight
0, # shape
True, # fill_shape
False, # labels
'', # group_name
False, # digital
False, # override_autocolor
False, # hidden
True, # user_selectable
None, # sort_order
False] # user_removable
tagpens = self.tagPens
for path in paths:
newrow = default
newrow[0] = path.split('/')[-1]
newrow[3] = system.tag.read("%s.EngUnit" % path).value
newrow[6] = self.autoColorList[tagpens.rowCount % len(self.autoColorList)]
tagpens = system.dataset.addRow(tagpens, tagpens.rowCount, newrow)
self.tagPens = tagpens
Absolutely possible; here’s a rudimentary implementation of onTagsDropped that will do it. The “important” line is: newrow[3] = system.tag.read("%s.EngUnit" % path).value
I implemented the script and now the pen being dragged on won’t display data and can’t be deleted. It also plots along side the top chart. See Pic below.
The pen dragged on is Current_Phase_A
Here is a working script I recently wrote on Version 8.0.16: This is placed within the onTagsDropped scripting of the EasyChart:
def onTagsDropped(self, paths):
"""
Called when the user has dropped tags from the tag tree onto the chart.
Normally, the chart will add pens automatically when tags are dropped, but
this default behavior will be suppressed if this extension function is
implemented.
Arguments:
self: A reference to the component that is invoking this function.
paths: A list of the tag paths that were dropped on the chart.
"""
# Alter chart configuration here
#Set up the chart defaults.
'''default =
[Name,TagPath,aggregation mode, axis, subplot, enabled, color, dash pattern, render style,
line weight, shape, fill shape, labels, group_name,digital, override autocolor, hidden, user_selectable, sort_order,user_removable]
'''
defaultTagPens = ['DefaultName', '[~]DefaultPath','MinMax','Default Axis', 1,True, "color(255,0,0,255)",'', 1,1.0,0, True, False, '', False, False, False, True, None, True]
defaultAxes = ['Default Axis','Value','Numeric',"color(255,0,0,255)","color(255,0,0,255)","color(255,0,0,255)",0,False,True,False,0.05,0.0,100.0,True,5.0,5.0,'','normal','',False,"color(232,234,232,255)","color(255,0,0,255)"]
for path in paths:
# create new tagPath row
newRow = defaultTagPens # default list as defined above
# set tag name
tagName = path.split('/')[-1] # tag name as a string
newRow[0] = tagName
# set tag path
tagPath = path
newRow[1] = tagPath
# set color
color = self.autoColorList[self.tagPens.rowCount % len(self.autoColorList)]
newRow[6] = color
# set axis option
engUnits = system.tag.read("%s.EngUnit" % path).value
axisName = ''
axisLabel = ''
if engUnits == '':
axisName = 'Default Axis'
axisLabel = 'Value'
else:
axisName = engUnits
axisLabel = engUnits
print axisName
print axisLabel
# set axis
newRow[3] = axisName
# create the tag pen row
tagpens = system.dataset.addRow(self.tagPens, self.tagPens.rowCount, newRow)
# check to see if axis already exists
currentAxes = self.axes
pds = system.dataset.toPyDataSet(currentAxes)
headers = system.dataset.getColumnHeaders(currentAxes)
length = len(headers)
# Check to see if axisLabel exists
createNewAxis = True
for row in pds:
if row['LABEL'] == axisLabel:
createNewAxis = False
print 'already exists \n'
continue
# if it doesn't exist then create a new axis
if createNewAxis:
print 'creating new one'
#create new axis
newAxis = defaultAxes
# set axis name
print axisName
newAxis[0] = axisName
# set axis label
newAxis[1] = axisLabel
# set label color
newAxis[3] = color
axes = system.dataset.addRow(self.axes, self.axes.rowCount,newAxis)
self.axes = axes
self.tagPens = tagpens
Another working example in version 8.1. This one is a bit more simple and is geared towards UDTs.
It takes the full UDT path instead of the default ‘parameter’ for the pen name. My UDT has a “.Val” historical data tag and a “.Cfg_Desc” for the string desciption.
Window Export:
Ad Hoc Trend.zip (16.9 KB)
onTagsDropped script:
# Alter chart configuration here
# This will take a tag that gets dropped from a Tag Browse Tree and instead of
# using just the 'param' will instead use 'device/tag/param' and attempt to read description
tagPens = self.tagPens
for tag in paths:
# incoming tag format is [database]device/tag/param
splitTag = tag.split("]")
name = splitTag[1]
# attempt to ready Cfg_Desc from parent UDT and set to pen's GROUP_NAME
# path to description is device/tag/Cfg_Desc
descSplit = name.split("/")
descPath = descSplit[0] + "/" + descSplit[1] + "/Cfg_Desc"
description = system.tag.readBlocking([descPath])[0].value + " " # add a trailing space for easier reading on plot
# set color based on next auto color
color = self.autoColorList[self.tagPens.rowCount % len(self.autoColorList)]
newRow = [name, tag, "MinMax", "Default Axis", 1, 1, color, "", 1, 1, 0, 1, 0, description, 0, 0, 0, 1, "", 1]
self.tagPens = system.dataset.addRow(tagPens, newRow)
Screenshot:
How do I create different axis upon dropping new tag? so Each tag can have it's own separate axis.
You have to alter the script to decide which row of the .axes property should apply, and use its name in the pen definition you add to .pens or .tagPens.