Format as Date for Dataset

I have a Month View Calendar, and am trying to modify the dataset containing the events.

The default dataset for Month View is (when copy/pasted):

"2018-02-21 08:00:35","2018-02-21 12:00:35","blue","Meeting"
"2018-02-21 08:00:35","2018-02-21 09:30:35","red","Email Customer"
"2018-02-21 13:00:35","2018-02-21 15:00:35","orange","Phone Call"
"2018-02-22 08:00:35","2018-02-22 17:00:35","blue","Another Meeting"

Using the example given on this page, I am trying to make a small modification to these events via scripting.

# First create a list that contains the headers, in this case there are 4 headers.
headers = ["startDate", "endDate", "displayColor", "display"]
# Then create an empty list, this will house our data.
data = []
# Then add each row to the list. Note that each row is also a list object.
data.append(["2018-02-21 08:00:35","2018-02-21 12:00:35","blue","First Event"])
data.append(["2018-02-20 08:00:28","2018-02-20 09:30:28","red","Second Event"])
data.append(["2018-02-20 13:00:28","2018-02-20 15:00:28","orange","Third Event"])
data.append(["2018-02-21 08:00:28","2018-02-21 17:00:28","blue","Fourth Event"])

# Finally, both the headers and data lists are used in the function to create a Dataset object
calendar = system.dataset.toDataSet(headers, data)

# Set the month view event property to the new dataset
event.source.parent.getComponent('Month View').events = calendar

However… When I run that sript, everything disappears off my calendar. I am assuming it has to do with the date being passed as a string rather than a date.

How can I format the string as a date?

I’ve tried to use the'2018-02-20 08:00:28','MMMM dd, yyyy hh:mm') function but
got errors: java.text.ParseException: java.text.ParseException: Unparseable date: "2018-02-20 08:00:28"

Any suggestions?

Eventually I will want these events to be populated from a database, but I was hoping to test my program before integrating the database.

1 Like

You need to change the format string that is using to fit the format of your string:'2018-02-20 08:00:28','yyyy-MM-dd HH:mm:ss') 

Thanks… That worked exactly how I expected mine to work. Solved my issue for now.

Sneak peek of things to come: Ignition 7.9.7 will have a new scripting function, system.dataset.formatDates() that will return a new dataset with all the dates formatted in the format (and optional locale) you specify.


That sounds fantastic! Most of my column-based dataset manipulations are to do precisely this. Is there any possibility of Ignition’s datasets getting column accessors/mutators like those in pandas or numpy?

Something similar to:

arr[:,0] = arr[:,0] - 1 


Not sure how we could make that work inside Jython, but I know a lot of people would like that feature. Suggest it in the ideas forum and we may be able to figure out some magic. :slight_smile:

Python is quite versatile with this. The only thing you have to do is define a __getitem__ function on the class, with the right handling

You can try this code to see what’s being passed to the __getitem__

class dummyDs(object):
	def __getitem__(self, index):
		print type(index)
		print index

ds = dummyDs()


These are the console results:

<type 'int'>
<type 'slice'>
slice(0, 10, None)
<type 'slice'>
slice(None, None, None)
<type 'tuple'>
(0, 0)
<type 'tuple'>
(slice(None, None, None), 0)
<type 'tuple'>
(0, slice(None, None, None))

So for a single numerical index, you just get the number as argument. For a slice, you get a slice object (with a start, end and step size). But more interesting, when you pass multiple indexes, you get a tuple back with the indexes or ranges.