You will find two columns in the below link. Columns A and B. I want to insert the data in Columns A2 to Cell B2 under this line 'Critical Dates Meeting Comments:'
Dates
function myFunction() {
var sheet = SpreadsheetApp.getActiveSpreadsheet().getSheetByName("Sheet102");
var targetSheet = SpreadsheetApp.getActiveSpreadsheet().getSheetByName("Sheet102");
sheet.getRange("A2:A164").moveTo(targetSheet.getRange("B2:B164"));
}
I used the code but it only transfer the data from A to replace B.
Is there a way to alter this code or maybe use another one to insert data instead of replacing it?
Related
I have a list of names in Column B, and a bunch of data (ID number, bank account details, etc.) in columns C:AK that corresponds/belongs to the name in column B.
I want to sort column B alphabetically, but the entire rows data must move with the name when sorted.
E.g. Lets say Ted is in B2 and Amy is in B3. When I do myrange.sort(2), Ted will now move to B3, but C2:AK2 must also now become C3:AK3. Otherwise Amy's personal details will now show up in the same row as Ted.
Does that make sense?
Example code:
var ss = SpreadsheetApp.getActiveSpreadsheet();
var sheet = ss.getSheetByName('Summary');
var curRange = sheet.getRange("B2:B6");
curRange.sort(2);
Your range only contains a single column so naturally, calling the 'sort()' method ignores all other columns in the sheet. You should select the entire data range and then sort by the selected column
var sortRange = sheet.getRange("B2:AK");
sortRange.sort({column:2, ascending: true});
I have an Excel template file with a dynamic number of columns that represent work week dates. Some users have decided to add their own subtotal columns to the right of those columns. I need a way to identify the first blank column, and then truncate that column and all columns following it.
I had previously been using the following script to remove all columns that begin with the word "Column":
// Create a list of columns that start with "Column" and remove them.
Removed_ColumnNum_Columns = Table.RemoveColumns(PreviousStepName, List.Select(Table.ColumnNames(PreviousStepName), each Text.StartsWith(_, "Column") )),
Based on being able to find the first ColumnXX column, I want to remove it and all columns after it
You can use List.PositionOf to get your ColumnIndex instead of parsing text.
I'd put it together like this:
// [...]
ColumnList = Table.ColumnNames(#"Promoted Headers"),
ColumnXX = List.Select(ColumnList, each Text.StartsWith(_, "Column")){0},
ColumnIndex = List.PositionOf(ColumnList, ColumnXX),
ColumnsToKeep = List.FirstN(ColumnList, ColumnIndex),
FinalTable = Table.SelectColumns(#"Promoted Headers", ColumnsToKeep)
Remove Columns after ColumnXX
Find the first column that begins with the name "Column" and delete that column and all columns following it. This parses the XX as the column index so you need to make sure you haven't deleted columns prior to this step. i.e. "Column35" needs to be the 35th column at this step in the code.
// Find the first ColumnXX column and remove it and all columns to the right.
ColumnXX = List.Select(Table.ColumnNames(#"Promoted Headers"), each Text.StartsWith(_, "Column")){0},
ColumnIndex = Number.FromText(Text.Middle(ColumnXX, 6,4)),
ColumnListToRemove = List.Range(Table.ColumnNames(#"Promoted Headers"),ColumnIndex-1),
RemovedTrailingColumns = Table.RemoveColumns(#"Promoted Headers", ColumnListToRemove),
To make this more robust I would prefer to have a way to identify the column index of columnXX without parsing the digits from it.
I am using openpyxl to copy data from an Excel spreadsheet. The data is a table for an inventory database, where each row is an entry in the database. I read the table one row at a time using a for loop. In order to determine the range of the for loop, I wrote a function that examines each cell in the table to find the height of the table.
Code:
def find_max(self, sheet, row, column):
max_row = 0
cell_top = sheet.cell(row = row - 1, column = column)
while cell_top.value != None:
cell = sheet.cell(row = row, column = column)
max = 0
while cell.value != None or sheet.cell(row = row + 1, column = column).value != None:
row += 1
max = max + 1
cell = sheet.cell(row = row, column = column)
if max > max_row:
max_row = max
cell_top = sheet.cell(row = row, column = column + 1)
return max_row
To summarize the function, I move to the next column in the worksheet and then iterate through every cell in that sheet, keeping track of its height until there are no more columns. The catch about this function is that it has to find two empty cells in a row in order to fail the condition. In a previous version I used a similar approach, but only used one column and stopped as soon as I found a blank cell. I had to change it so the program would still run if the user forgot to fill out a column. This function works okay for a small table, but on a table with several hundred entries this makes the program run much slower.
My question is this: What can I do to make this more efficient? I know nesting a while loop like that makes a program take longer but I do not see how to get around it. I have to make the program as foolproof as possible, so I need to check more than one column to stop user errors from failing the program
This is untested, but every time I've used openpyxl, I iterate over all rows like so:
for row in active_worksheet:
do_something_to(row)
so you could count like:
count = 0
for row in active_worksheet:
count += 1
EDIT: This is a better solution: Is it possible to get an Excel document's row count without loading the entire document into memory?
Read-only mode works row-by-row on the source so you probably want to hook it into it. Alternatively, you could pass the cells of the of a worksheet into something like a Pandas matrix which has indices for empty cells.
I want to loop thru a dbf and create word table for each record meeting the condition, and I got a one-page report with only the last rec in a single table. Look like all records are written to the same table. I tried to use n = n + 1 to place the variable as an element to the table
oTable = oDoc.tables[n]
But seems it only support numerical rather than variable ?
You have to add each table as you go, making sure to leave space in between them (because Word likes to combine tables).
You'll need something like this inside your loop:
* Assumes you start with oDoc pointing to the document,
* oRange set to an empty range at the beginning of the area where you want to add the tables,
* and that nRows and nCols give you the size of the table.
oTable = oDoc.Tables.Add(m.oRange, m.nRows, m.nCols)
oRange = oTable.Range()
oRange.Collapse(0)
oRange.InsertParagraphAfter()
oRange.Collapse(0)
After this code, you can use oTable to add the data you want to add. Then, on the next time through the loop, you're ready to add another table below the one you just filled.
My datasource has a column that contains a comma-separated list of numbers.
I want to create a dataset that takes those numbers and turns them into groupings to use in a bar chart.
requirements
numbers will be between 0-17 inclusive
groupings: 0-2,3-5,6-10,11-17
x-axis labels have to be the groupings
y-axis is the percent of rows that contain that grouping
note that because each row can contribute to multiple columns the percentages can add up to > 100%
any help you can offer would be awesome... i'm very new to BIRT and have been stuck on this for a couple days now
Not sure that I understand the requirements exactly, but your basic question "split dataset column into multiple rows" can be solved either using a scripted dataset or with pure SQL (depending on your DB).
Either way, you will need a second dataset (e.g. your data model is master-detail, and in your layout you will need something like
Table/List "Master bound to master DS
Table/List "Detail" bound to detail DS
The detail DS need the comma-separated result column from the master DS as an input parameter of type "String".
Doing this with a scripted dataset is quite easy IFF you understand Javascript AND you understand how scripted datasets work: Create a report variable "myValues" of type object with a default value of null and a second report variable "myValuesIndex" of type integer with a default value of 0.
(Note: this is all untested!)
Create the dataset "detail" as a scripted DS, with one input parameter "csv" of type String and one output parameter "value" of type String.
In the open event of the scripted DS, code:
vars["myValues"] = this.getInputParameterValue("csv").split(",");
vars["myValuesIndex"] = 0;
In the fetch event, code:
var i = vars["myValuesIndex"];
var len = vars["myValues"].length;
if (i < len) {
row["value"] = vars["myValues"][i];
vars["myValuesIndex"] = i+1;
return true;
} else {
return false;
}
For example, for the master DS result row with csv = "1,2,3-4,foo", the detail DS will result in 4 rows with
value = "1"
value = "2"
value = "3-4"
value = "foo"
Using an Oracle DB, this can be done without Javascript. The detail DS (with the same input parameter as above) would then look like:
select t.value as value from table(split(?)) t
For the definition of the split function, see RedFilter's answer on
Is there a function to split a string in PL/SQL?
If you get ORA-22813, you should change the original definition
create or replace type split_tbl as table of varchar2(32767);
to
create or replace type split_tbl as table of varchar2(4000);
as mentioned on https://community.oracle.com/thread/2288603?tstart=0
It's also possible with pure SQL in 11g using regexp_substr (see the same page).
create parameters in the scripted data set. we have to pass or link actual dataset values to scripted dataset parameters through DataSet parameter Binding after assigning the scripted data set to Table.