Filter Dataset Based on Column Value

Ignition
2

There's lots of ways to skin this cat, but if you truly want to do it from scripting, it'll probably be easiest if you convert to a PyDataset first.
If all your conditions are simple literal values, you can do something like this:

def filterDataset(ds, **kwargs):
	pds = system.dataset.toPyDataSet(ds)
	output = []
	for row in pds:
		if all(row[key] == value for key, value in kwargs.items()):
			output.append(row)
	
	return system.dataset.toDataSet(list(ds.columnNames), output)

E.G:

def sampleData(rows=10):
	from random import choice, randint
	
	machines = [
		"DSHW0001",
		"DSHW0002",
		"DSHW0003",
		"FGHW0001",
		"FGHW0002",
		"FGHW0003",
		"MCHW0001",
		"MCHW0002",
		"MCHW0003",
	]
	activityTypes = [
		"ISSUE",
		"PROD",
	]
	data = [
		[choice(machines), choice(activityTypes), system.date.now(), "ABC{:05}".format(randint(0, 100))]
		for _ in xrange(rows)
	]
	
	headers = ["machineName", "activityType", "productionDate", "orderNumber"]
	return system.dataset.toDataSet(headers, data)

ds = sampleData()
print "input:"
system.dataset.print(ds)

def filterDataset(ds, **kwargs):
	pds = system.dataset.toPyDataSet(ds)
	output = []
	for row in pds:
		if all(row[key] == value for key, value in kwargs.items()):
			output.append(row)
	
	return system.dataset.toDataSet(list(ds.columnNames), output)
	

filtered = filterDataset(ds, machineName="DSHW0001", activityType="ISSUE")
print "filtered:"
system.dataset.print(filtered)

input:
| Row | machineName | activityType |               productionDate | orderNumber |
| --- | ----------- | ------------ | ---------------------------- | ----------- |
|   0 |    FGHW0001 |        ISSUE | Tue Oct 18 20:35:23 UTC 2022 |    ABC00054 |
|   1 |    MCHW0001 |        ISSUE | Tue Oct 18 20:35:23 UTC 2022 |    ABC00073 |
|   2 |    FGHW0002 |         PROD | Tue Oct 18 20:35:23 UTC 2022 |    ABC00096 |
|   3 |    FGHW0003 |         PROD | Tue Oct 18 20:35:23 UTC 2022 |    ABC00053 |
|   4 |    DSHW0001 |        ISSUE | Tue Oct 18 20:35:23 UTC 2022 |    ABC00067 |
|   5 |    FGHW0002 |        ISSUE | Tue Oct 18 20:35:23 UTC 2022 |    ABC00021 |
|   6 |    MCHW0001 |         PROD | Tue Oct 18 20:35:23 UTC 2022 |    ABC00002 |
|   7 |    MCHW0001 |         PROD | Tue Oct 18 20:35:23 UTC 2022 |    ABC00059 |
|   8 |    FGHW0002 |        ISSUE | Tue Oct 18 20:35:23 UTC 2022 |    ABC00094 |
|   9 |    FGHW0001 |         PROD | Tue Oct 18 20:35:23 UTC 2022 |    ABC00071 |
filtered:
| Row | machineName | activityType |               productionDate | orderNumber |
| --- | ----------- | ------------ | ---------------------------- | ----------- |
|   0 |    DSHW0001 |        ISSUE | Tue Oct 18 20:35:23 UTC 2022 |    ABC00067 |

system.dataset.print comes from Ignition Extensions but is just useful for testing, not necessary.

2 Likes