Any idea how to import an excel file to the power table in vision?
def excelToDataSet(fileName, hasHeaders = False, sheetNum = 0, firstRow = None, lastRow = None, firstCol = None, lastCol = None):
import org.apache.poi.ss.usermodel.WorkbookFactory as WorkbookFactory
import org.apache.poi.ss.usermodel.DateUtil as DateUtil
from java.io import FileInputStream
from java.util import Date
"""
Function to create a dataset from an Excel spreadsheet. It will try to automatically detect the boundaries of the data,
but helper parameters are available:
params:
fileName - The path to the Excel spreadsheet. (required)
hasHeaders - If true, uses the first row of the spreadsheet as column names.
sheetNum - select the sheet to process. defaults to the first sheet.
firstRow - select first row to process.
lastRow - select last row to process.
firstCol - select first column to process
lastCol - select last column toprocess
"""
fileStream = FileInputStream(fileName)
wb = WorkbookFactory.create(fileStream)
sheet = wb.getSheetAt(sheetNum)
if firstRow is None:
firstRow = sheet.getFirstRowNum()
if lastRow is None:
lastRow = sheet.getLastRowNum()
data = []
for i in range(firstRow , lastRow + 1):
row = sheet.getRow(i)
print str(i).zfill(3), list(row)
if i == firstRow:
if firstCol is None:
firstCol = row.getFirstCellNum()
if lastCol is None:
lastCol = row.getLastCellNum()
else:
# if lastCol is specified add 1 to it.
lastCol += 1
if hasHeaders:
headers = list(row)[firstCol:lastCol]
else:
headers = ['Col'+str(i) for i in range(firstCol, lastCol)]
rowOut = []
for j in range(firstCol, lastCol):
if i == firstRow and hasHeaders:
pass
else:
cell = row.getCell(j)
cellType = cell.getCellType().toString()
if cellType == 'NUMERIC':
if DateUtil.isCellDateFormatted(cell):
value = cell.dateCellValue
else:
value = cell.getNumericCellValue()
if value == int(value):
value = int(value)
elif cellType == 'STRING':
value = cell.getStringCellValue()
elif cellType == 'BOOLEAN':
value = cell.getBooleanCellValue()
elif cellType == 'BLANK':
value = None
elif cellType == 'FORMULA':
formulatype=str(cell.getCachedFormulaResultType())
if formulatype == 'NUMERIC':
if DateUtil.isCellDateFormatted(cell):
value = cell.dateCellValue
else:
value = cell.getNumericCellValue()
if value == int(value):
value = int(value)
elif formulatype == 'STRING':
value = cell.getStringCellValue()
elif formulatype == 'BOOLEAN':
value = cell.getBooleanCellValue()
elif formulatype == 'BLANK':
value = None
else:
value = None
rowOut.append(value)
if len(rowOut) > 0:
data.append(rowOut)
fileStream.close()
return system.dataset.toDataSet(headers, data)
# Read .xlsx file
fName = 'C:\\IgnitionProjectBackup\\Record.xlsx'
ds1 = excelToDataSet(fName, True)
util.printDataSet(ds1)
event.source.parent.getComponent('ptbl_Data').data = ds1
Try this one, it's essentially the same with a few minor changes, specifically to handle empty cells, which appears is what you have based on the error you got.
def excelToDataSet(fileName, hasHeaders = False, forceString = False, sheetNum = 0, firstRow = None, lastRow = None, firstCol = None, lastCol = None):
import org.apache.poi.ss.usermodel.WorkbookFactory as WorkbookFactory
import org.apache.poi.ss.usermodel.DateUtil as DateUtil
from java.io import FileInputStream
from java.util import Date
from os.path import exists
"""
Description:
Function to create a dataset from an Excel spreadsheet. This is typically used in Vision and the file path is
directly referenced to its location in the filesystem.
Arguments:
fileName: The path to the Excel spreadsheet. (required)
hasHeaders: If true, uses the first row of the spreadsheet as column names.
forceString: If true, forces all cell values to be strings. This can be useful if cell values in columns are not consistent.
To create a dataset, the data type is determined by the first row. If the data types are different, you can get errors.
If you force all cells to strings, then this is not an issue.
sheetNum: Select the sheet to process. Defaults to the first sheet.
firstRow: Select first row to process.
lastRow: Select last row to process.
firstCol: Select first column to process
lastCol: Select last column toprocess
History:
No. Date Author Comment
1.0 2021-01-22 Jordan Clark Initial - https://forum.inductiveautomation.com/t/copying-a-excel-file-to-a-tables-dataset/34942/13
1.1 2023-02-17 James Landwerlen Updated to handle blank cells
and to force strings
"""
if exists(fileName):
fileStream = FileInputStream(fileName)
wb = WorkbookFactory.create(fileStream)
sheet = wb.getSheetAt(sheetNum)
if firstRow is None:
firstRow = sheet.getFirstRowNum()
if lastRow is None:
lastRow = sheet.getLastRowNum()
data = []
for i in range(firstRow , lastRow + 1):
row = sheet.getRow(i)
if i == firstRow:
if firstCol is None:
firstCol = row.getFirstCellNum()
if lastCol is None:
lastCol = row.getLastCellNum()
else:
# if lastCol is specified add 1 to it.
lastCol += 1
if hasHeaders:
headers = list(row)[firstCol:lastCol]
else:
headers = ['Col'+str(i) for i in range(firstCol, lastCol)]
rowOut = []
for j in range(firstCol, lastCol):
if i == firstRow and hasHeaders:
pass
else:
cell = row.getCell(j)
if cell is not None:
cellType = cell.getCellType().toString()
if cellType == 'NUMERIC':
if DateUtil.isCellDateFormatted(cell):
value = cell.dateCellValue
else:
value = cell.getNumericCellValue()
if value == int(value):
value = int(value)
elif cellType == 'STRING':
value = cell.getStringCellValue()
elif cellType == 'BOOLEAN':
value = cell.getBooleanCellValue()
elif cellType == 'BLANK':
value = None
elif cellType == 'FORMULA':
formulatype=str(cell.getCachedFormulaResultType())
if formulatype == 'NUMERIC':
if DateUtil.isCellDateFormatted(cell):
value = cell.dateCellValue
else:
value = cell.getNumericCellValue()
if value == int(value):
value = int(value)
elif formulatype == 'STRING':
value = cell.getStringCellValue()
elif formulatype == 'BOOLEAN':
value = cell.getBooleanCellValue()
elif formulatype == 'BLANK':
value = None
else:
value = None
else:
value = None
if forceString:
rowOut.append(str(value))
else:
rowOut.append(value)
if len(rowOut) > 0:
data.append(rowOut)
fileStream.close()
return system.dataset.toDataSet(headers, data)
