I am using a query to pull data from another source and then using openpyxl to create and excel table to be able to analyze the data. My array varies in size and I am trying to figure out how to vary the size of my table.
In creating the table and using ref="A1:B4", I am looking to call on the size of my array to populate the ref.
I have tried using ref=none and my excel file then gets corrupt and I get errors.
tab = Table(displayName="Table1", headerRowCount=0, ref="A1:B54")
My table size will vary and I want to use the size of the array to establish ref.
Replace the ref="A1:B4 with the size of your array. Use any size if you do not now the array size beforehand. You can resize an existing table later by changing the ref. Tables can be found from the worksheets ._tables.
for table in worksheet._tables:
if table.displayName == "SalesTable":
table.ref = "A1:C10"
Related
I am creating table using google drive as a source and google sheet as a format.
I have selected "Drive" as a value for create table from. For file Format, I selected Google Sheet.
Also I selected the Auto Detect Schema and input parameters.
Its creating the table but the first row of the sheet is also loaded as a data instead of table fields.
Kindly tell me what I need to do to get the first row of the sheet as a table column name not as a data.
It would have been helpful if you could include a screenshot of the top few rows of the file you're trying to upload at least to see the data types you have in there. BigQuery, at least as of when this response was composed, cannot differentiate between column names and data rows if both have similar datatypes while schema auto detection is used. For instance, if your data looks like this:
headerA, headerB
row1a, row1b
row2a, row2b
row3a, row3b
BigQuery would not be able to detect the column names (at least automatically using the UI options alone) since all the headers and row data are Strings. The "Header rows to skip" option would not help with this.
Schema auto detection should be able to detect and differentiate column names from data rows when you have different data types for different columns though.
You have an option to skip header row in Advanced options. Simply put 1 as the number of rows to skip (your first row is where your header is). It will skip the first row and use it as the values for your header.
I have code which generates an amount of data continuously and I'd like to store generated data in a 1-dimensional array.
How do I do this in LabVIEW?
Are you using the array to transfer data from your data acquisition to another location? If you know how many elements are in the array, you should first initialize the array to that size. Then you can place data in the array by using "Replace Array Subset". This way you're not continuously allocating memory. This also assumes that you're moving that data out of the array prior to the next instrument read.
In this case it is better to use while loop (if you know the exact number of data you can use For Loop as well, giving an N terminal defined number of iterations). Simply connect your generated data wire to the border of the while loop, right click it and choose Tunnel Mode:Indexing and you will get and array.
I am exporting a file from a system as .csv. My aim is to link to this file as a table (which matches the output field for field) and then run the queries and export.
The problem I am having is that, upon import, all the fields are 255 bytes wide rather than what they need to be.
Here's what I've tried so far:
I've looked at ALTER TABLE but I cannot run multiple ALTER TABLE statements in one macro.
I've also tried appending the table into another table with the correct structure but it seems to overwrite the structure.
I've also tried using the Left function with the appropriate field length, but when I try to export, I pretty much just see 5 bytes per column.
What I would like is a suggestion as to what is the best path to take given my situation. I am not able to amend the initial .csv export, and I would like to avoid VBA if possible, as I am not at all familiar with it.
You don't really need to worry about the size of Text fields in an Access linked table that is connected to a CSV file. Access simply assigns each Text field the largest possible maximum size: 255. It does not mean that every value is actually 255 characters long, it just means that any values in those fields can be at most 255 characters long.
Even if you could change the structure of the linked table (which you can't), it wouldn't make any real difference except to possibly truncate longer Text values, and you could easily do that with a String function. For example, if a particular field had to be restricted to 15 characters then you could simply use Left([fieldName], 15) as a query column or as the control source in a report.
In the end, as the data set is not that large, I have set this up to append from my source data into a table with the correct structure. I can now run my processes against this table as per normal.
Problem I'm having is that table.Columns.add(ref Object BeforeColumn) requires a reference to another column in the table. However, when I try to access the last column in the table to pass as a reference using table.Columns.Add(table.Columns[table.Columns.Count])
I get the error:
"Cannot access individual columns in this collection because the table has mixed cell widths."
As my current work around, I catch the error, and call table.Columns.DistributeWidth() to make sure the columns are uniform and run the rest of the code. However, I lose the formatting of my cell widths this way, which is unfortunate.
Is there any way I can workaround this without losing the cell width?
(I realize one way is to store every cell's width before running this process, and then re-applying the widths afterward, but this seems like a very costly solution to something that should be simpler)
I've found one way to do it. Here's how I approached it.
*Caution, I'm assuming that the table is uniform. i.e. The number of columns is the same across all the rows. (Note, the API has a Table.uniform function, but the description is not complete. In the API it says "True if all the rows in a table have the same number of columns." However, it also checks if the columns have uniform width).
Instead of using table.Columns.Add(table.Columns[table.Columns.Count]) to add a column before the last below, I select a cell in the table and used the insert command:
//assuming table is the name of the table you want to add columns to
table.Cell(1, table.Columns.Count).Select();
word.Selection selection = table.Application.ActiveWindow.Selection;
selection.InsertColumns();
This might actually be a better way to add columns, as the api gives you way more options on how to insert (i.e. use InsertColumnsRight to insert to the right of the column). The Columns.Add(...) function by default inserts to the left of the select
A real beginner here,
I am looking to have a table of static data with about 300 cells in it. (There will be 12 distinct tables in all)
The user would input two values, the first would indicate the row, and the second would point to the cell within that row, and I want my app to be able to read back the column heading for that row.
What is the best way to have this data stored in my app? Currently the data is in a spreadsheet.
The data looks like:
Index 0,Index 1,Index 2,Index 3 ,Index 4,Index 5,Index 6,Index 7,Index 8,Index 9
10,156,326,614,1261,1890,3639,5800,10253,20914
20,107,224,422,867,1299,2501,3986,7047,14374 ...etc.
Where the number at index zero is the name of the row (entered by user) and the numbers after that are the values also entered by the user.
I want the code to take the two numbers (row and value) and then return a string based on the column heading (shown here as index 0 - 9)
the last tricky bit is if the user enters a value that is in between the values give I want it to use the next highest value from the data. E.g. if in row "10" the user inputs 700 I want the code to return the index heading for 1261.
Does that make sense?
Possibilities are endless...
In code as a static 2D array
XML
JSON
Tab Delimited Text File
Comma Delimited Text File
PList
etc.
All depends on your needs and wants.
On the CONs for each:
Static 2D array may consume some memory every time the app runs...
A file will involve some disk IO or processing requirements to read the values out of the file stored in the Bundle.
On the PROs for each:
Data from the static array would be FAST...
Updating data in a file could be done on-the-fly over the web.
You could write a simple routine to dump your spreadsheet into any of the above listed options, so I don't think that's a real serious consideration. It's mostly about what works best for you in terms of size of data and updatability/maintainability.