Not sure where the idea came from, but exportExcel() is not documented to accept sheet names.
Here is a modified version of a function I wrote in this thread:
def listToExcel(datasetList, fileName = '', sheetNames = 'Sheet {}', dateFormat = 'yyyy-mm-dd hh:mm:ss'):
''' Convert a list of datasets to Excel
params:
datasetList: The list of datasets to convert. Valid types are:
- com.inductiveautomation.ignition.common.BasicDataset
- com.inductiveautomation.ignition.common.script.builtin.DatasetUtilities$PyDataSet
- com.inductiveautomation.ignition.common.JsonDataset
fileName: The name to save the Excel file. If omitted, the output will be a byte array.
This is useful to use with perspective (e.g. system.perspective.download)
sheetNames: List of names The tab name of the workbook. Default is Sheet 1, Sheet 2, etc.
dateFormat: How dates should be formatted, e.g. 'yyyy-mm-dd hh:mm:ss'.
Note that Excel does not use capital letters, because... Microsoft.
The script will auto lower-case your format.
'''
import org.apache.poi.ss.usermodel.Cell as Cell
import org.apache.poi.ss.usermodel.Row as Row
import org.apache.poi.ss.usermodel.Sheet as Sheet
import org.apache.poi.ss.usermodel.Workbook as Workbook
import org.apache.poi.xssf.usermodel.XSSFWorkbook as XSSFWorkbook
import org.apache.poi.xssf.usermodel.XSSFDataFormat as XSSFDataFormat
from java.io import FileOutputStream, ByteArrayOutputStream
if fileName == '':
output = ByteArrayOutputStream()
else:
output = FileOutputStream(fileName)
# Create workbook
wb = XSSFWorkbook()
for sheetIndex, dsIn in enumerate(datasetList):
dsType = str(type(dsIn))
# Convert to PyDataSet, if needed
if 'com.inductiveautomation.ignition.common.BasicDataset' in dsType:
pyDS = system.dataset.toPyDataSet(dsIn)
elif 'com.inductiveautomation.ignition.common.JsonDataset' in dsType:
pyDS = system.dataset.toPyDataSet(dsIn)
elif 'com.inductiveautomation.ignition.common.script.builtin.DatasetUtilities$PyDataSet' in dsType:
pyDS = dsIn
else:
raise Exception('Not a valid DataSet')
# Create Sheet
if sheetNames == 'Sheet {}':
sheet = wb.createSheet(sheetNames.format(sheetIndex + 1))
else:
sheet = wb.createSheet(sheetNames[sheetIndex])
# Create formatter
fmt = wb.createDataFormat()
# Create style for headers
headerStyle = wb.createCellStyle()
headerFont = wb.createFont()
headerFont.setBold(True)
headerFont.setFontHeightInPoints(10)
headerFont.setFontName('Arial')
headerStyle.setFont(headerFont)
# Create style for data
rowStyle = wb.createCellStyle()
rowFont = wb.createFont()
rowFont.setBold(False)
rowFont.setFontHeightInPoints(10)
rowFont.setFontName('Arial')
rowStyle.setFont(rowFont)
# Create style for dates.
dateStyle = wb.createCellStyle()
dateFont = wb.createFont()
dateFont.setBold(False)
dateFont.setFontHeightInPoints(10)
dateFont.setFontName('Arial')
dateStyle.setFont(dateFont)
dateStyle.setDataFormat(fmt.getFormat(dateFormat.lower()))
# Create header row in the sheet
headerRow = sheet.createRow(0)
for i, col in enumerate(pyDS.getColumnNames()):
cell = headerRow.createCell(i)
cell.setCellStyle(headerStyle)
cell.setCellValue(col)
# Create data rows
for i, row in enumerate(pyDS):
dataRow = sheet.createRow(i+1)
for j, col in enumerate(list(row)):
cell = dataRow.createCell(j)
cell.setCellValue(col)
cell.setCellStyle(rowStyle)
# Check if it's a date, and set cell format accordingly
if 'java.util.Date' in str(type(col)):
cell.setCellStyle(dateStyle)
# Resize the columns
for i in range(pyDS.getColumnCount()):
sheet.autoSizeColumn(i)
wb.write(output)
output.close()
if fileName == '':
return output.toByteArray()
else:
return
Sample usage:
sampleHeaders1 = ['col1', 'col2', 'col3']
sampleData1 = [[system.date.parse('2023-06-01 00:00:00'), 'Row1', 1],
[system.date.parse('2023-06-02 00:00:00'), 'Row2', 2],
[system.date.parse('2023-06-03 00:00:00'), 'Row3', 3]
]
sampleHeaders2 = ['col10', 'col20', 'col30']
sampleData2 = [[system.date.parse('2023-06-11 00:00:00'), 'Row11', 11],
[system.date.parse('2023-06-12 00:00:00'), 'Row12', 12],
[system.date.parse('2023-06-13 00:00:00'), 'Row13', 13]
]
dataset1 = system.dataset.toDataSet(sampleHeaders1, sampleData1)
dataset2 = system.dataset.toDataSet(sampleHeaders2, sampleData2)
util.dataset.listToExcel([dataset1, dataset2], fileName='C:/Test/multisheetTest.xlsx', sheetNames=['MySheet1', 'TheSecondSheet'])
