阅读一张 excel 表格，其中有多个表格且没有表格

Question

I have an excel sheet which contain 10 sheets and saved inside SharePoint document library. and i want to do the following:-

1. read the data of a single sheet named "CompnayInfo", the sheet contain the first row as headers and have filters but the sheet does not have table.

So how i can read this excel sheet rows? here is a screen shot of the excel sheet:-

Thanks

Answer 1

I'm going to give you a fairly generic answer but you can take it from there and it will give you a result.

You can use the Run script action in the Excel online connector(s). It allows you to write a script using the Office Scripts framework which composes of a set of typescript classes, etc. that allows you to work with Excel workbooks stored in SharePoint or OneDrive.

It' like VBA but for the web. However, it's not as complete as VBA, but, it does near on everything you'd ever need and that which isn't catered for can be achieved via alternative means.

This is the script I put together, it's basic but gives you all of the data. You'd need to do the work to enhance it and make it more useful for you.

function main(workbook: ExcelScript.Workbook, worksheetName: string) {
    let worksheet = workbook.getWorksheet(worksheetName);
    return worksheet.getUsedRange().getValues();
}

If you need to know how to create a script, follow these links and please note, for absolute ease, use the excel web client to create the script, the desktop version is around but don't complicate it for yourself and go through the web, it's tried and tested...

https://learn.microsoft.com/en-us/office/dev/scripts/overview/excel

https://support.microsoft.com/en-us/office/introduction-to-office-scripts-in-excel-9fbe283d-adb8-4f13-a75b-a81c6baf163a

For the worksheet I ran the script over, this was the resulting JSON. It's a 2 dimensional array by rows and columns of data...

[
  [
    "Date",
    "Time",
    "g/l ni",
    "ECV808Ha",
    "Multiple"
  ],
  [
    44698.64584,
    44698.64584,
    4,
    5,
    20
  ],
  [
    44698.64928,
    44698.64928,
    5,
    15,
    75
  ],
  [
    44698.65506,
    44698.65506,
    5.2,
    4.8,
    24.96
  ],
  [
    44698.66566,
    44698.66566,
    4,
    45,
    180
  ],
  [
    44699.63499,
    44699.63499,
    8.6,
    9.3,
    79.98
  ],
  [
    44699.63914,
    44699.63914,
    15.2,
    8.2,
    124.64
  ],
  [
    44699.64223,
    44699.64223,
    14.2,
    18.6,
    264.12
  ],
  [
    44699.6455,
    44699.6455,
    8.2,
    2.6,
    21.32
  ],
  [
    44699.65178,
    44699.65178,
    15,
    15.2,
    228
  ],
  [
    44699.66725,
    44699.66725,
    14,
    12.2,
    170.8
  ],
  [
    44699.67292,
    44699.67292,
    15,
    16,
    240
  ],
  [
    44699.67413,
    44699.67413,
    12.2,
    13.4,
    163.48
  ],
  [
    44700.50296,
    44700.50296,
    4,
    2.5,
    10
  ],
  [
    44700.50534,
    44700.50534,
    5,
    8,
    40
  ],
  [
    44700.52765,
    44700.52765,
    4.5,
    8.6,
    38.7
  ],
  [
    44700.52861,
    44700.52861,
    8.5,
    4.2,
    35.7
  ],
  [
    44700.5975,
    44700.5975,
    8,
    14,
    112
  ],
  [
    44700.60117,
    44700.60117,
    4,
    8,
    32
  ],
  [
    44700.60197,
    44700.60197,
    4,
    2.5,
    10
  ],
  [
    44700.60348,
    44700.60348,
    4.5,
    5.25,
    23.625
  ],
  [
    44700.60414,
    44700.60414,
    80,
    2.5,
    200
  ],
  [
    44700.60597,
    44700.60597,
    4,
    2.5,
    10
  ],
  [
    44700.61531,
    44700.61531,
    8,
    6,
    48
  ],
  [
    44700.645,
    44700.645,
    4,
    2.5,
    10
  ],
  [
    44700.64679,
    44700.64679,
    4,
    4.5,
    18
  ],
  [
    44700.6484,
    44700.6484,
    8,
    6.2,
    49.6
  ],
  [
    44700.64964,
    44700.64964,
    6,
    6,
    36
  ],
  [
    44701.38266,
    44701.38266,
    4,
    5,
    20
  ],
  [
    44701.40955,
    44701.40955,
    5,
    5.5,
    27.5
  ],
  [
    44701.41484,
    44701.41484,
    8,
    6,
    48
  ],
  [
    44701.41723,
    44701.41723,
    8,
    65,
    520
  ],
  [
    44701.42251,
    44701.42251,
    4,
    6,
    24
  ],
  [
    44701.42304,
    44701.42304,
    4,
    8,
    32
  ],
  [
    44701.42365,
    44701.42365,
    8,
    90,
    720
  ],
  [
    44701.42384,
    44701.42384,
    8,
    60,
    480
  ],
  [
    44701.42045,
    44701.42045,
    4,
    5,
    20
  ],
  [
    44701.43058,
    44701.43058,
    18,
    16,
    288
  ],
  [
    44704.3115,
    44704.3115,
    4,
    8,
    32
  ],
  [
    44704.43532,
    44704.43532,
    6,
    525,
    3150
  ],
  [
    44704.44973,
    44704.44973,
    5,
    6,
    30
  ]
]

... If you write your own script, you can return specific JSON structures that suit your requirement.