I'd like the date to be something like "2023-07-21T02:00:00Z" in the dataset.
At first I thought it needed to be converted like this but that caused errors like it already was.
import datetime
your_timestamp = 1690912200000
print your_timestamp
date = datetime.datetime.fromtimestamp(your_timestamp / 1e3)
print date
When I look at the value of timestamp_numeric before and after the tagDataset.append I get this 2023-08-01 12:59:00.000.
for row in range(historicalValues.getRowCount()):
    # Get data from each row in historicalValues
    timestamp_numeric = historicalValues.getValueAt(row, 0)  # Assuming the timestamp is in the first column
    system.perspective.print(timestamp_numeric)
    value = historicalValues.getValueAt(row, 1)  # Assuming the value is in the second column
    # Append data to tagDataset
    tagDataset.append([system_ParentFolder, sector_ParentFolder, unit_ParentFolder, browseTag.name, value, timestamp_numeric])
    system.perspective.print(timestamp_numeric)
When I look at the resulting dataset it's an integer. Is that all the dataset supports?
"timestamp":1690912200000
 Not displaying it in Ignition. I'm wanting to POST it into an Azure database. I'm waiting to hear from them if the timestamp format matters they did say it was ISO8601. I spent a few hours trying to convert it back so I'm guessing they will not care.
 Not displaying it in Ignition. I'm wanting to POST it into an Azure database. I'm waiting to hear from them if the timestamp format matters they did say it was ISO8601. I spent a few hours trying to convert it back so I'm guessing they will not care. 



