spreadsheet = client.open_by_key(sheet_id)
worksheet = spreadsheet.worksheet_by_title(worksheet_name)
worksheet.set_dataframe(res_df, copy_head = False, start = res_df_index)
I am writing a array of data in one of the columns in googlesheet. However doing so, I am losing the manual formatting I had applied in google sheet
Can someone please help me with this ?
Related
UPDATE!
My goal is to modify an existing Workbook ( example - master_v2.xlsm ) and produce a new workbook (Newclient4) based on the updates made to master_v2.
I'm using a single sheet within master_v2 to collect all the data which will be determining what the new workbook will be.
Currently using multiple if statements to find the value of the cells in this "repository" sheet. Based on specific cells, I'm creating and adding values to copies of an existing sheet called "PANDAS".
My goal right now is to create a dict based on two columns. The loop through
the keys so that every time I get a hit on a cell, I will gather values from specific keys.
That's listed below:
from openpyxl import load_workbook
# Start by opening the spreadsheet and selecting the main sheet
workbook = load_workbook(filename="master_v2.xlsm",read_only=False, keep_vba=True)
DATASOURCE = workbook['repository']
DATASOURCE["A:H"]
cell100 = DATASOURCE["F6"].value
CREATION = cell100
cell101 = DATASOURCE["F135"].value
CREATION2 = cell101
cell107 = DATASOURCE["F780"].value
CREATION7 = cell107
if CREATION.isnumeric():
source = workbook['PANDAS']
target = workbook.copy_worksheet(source)
ss_sheet = target
ss_sheet.title = DATASOURCE['H4'].value[0:12]+' PANDAS'
if CREATION2.isnumeric():
source = workbook['PANDAS']
target = workbook.copy_worksheet(source)
ss_sheet = target
ss_sheet.title = DATASOURCE['H133'].value[0:12]+' PANDAS'
if CREATION3.isnumeric():
source = workbook['PANDAS']
target = workbook.copy_worksheet(source)
ss_sheet = target
ss_sheet.title = DATASOURCE['H262'].value[0:12]+' PANDAS'
else:
print ("no")
workbook.save(filename="NewClient4.xlsm")
Instead of the many if statements I was hoping to be able to loop through the column as explained above,
once I found my value, gather data and copy it over to a copy of sheet which is then filled out by other cells. Each time the loop comples, I want to do repeat on the next match of the string.. but I'm only this far and it's not quite working.
Anyone have a way to get this working?
( trying to replace the many one to one mappings and if statements )
for i in range(1,3000):
if DATASOURCE.cell(row=i,column=5).value == "Customer:":
source = workbook['Design details']
target = workbook.copy_worksheet(source)
ss_sheet = target
ss_sheet.title = DATASOURCE['H4'].value[0:12]+' Design details'
else:
print ("no")
Thank you guys in advanced
I would like to insert a data to a cell in excel using nodejs. Can someone help me do the same nodejs. I have to read an excel file from my nodejs code and insert data to aparticular cell of my excel sheet.
I tried a code in which the below code gives the output as shown after that how can I acess that data in v ie, john
code snippet
console.log(JSON.stringify(worksheet['A2']))
output
{"t":"s","v":"john","r":"<t>jon</t>","h":"john","w":"jon"}
fullcode - itried to insert a data to a cell of excel
const XLS
X = require('xlsx');
let workbook = XLSX.readFile('test1.xlsx');
let sheetName = workbook.SheetNames[0];
console.log(sheetName+' sheetName')
let worksheet = workbook.Sheets[sheetName];
console.log(worksheet['A2']+' worksheet a2')
console.log(JSON.stringify(worksheet['A2']))
worksheet['A2'].value = 'test';
var cell = worksheet.getCell('A2');
//cell.value = 'test';
sheetName.getCell("A2").value = "test"
If you're familiar with how Pandas DataFrames are structured (basically an array of key-value pairs, with the keys being the column names), then convert-excel-to-json is probably a good bet for what you're looking for. It's fairly straightforward to set-up, and should let you traverse the converted sheet and edit it, as a JSON object. Post this, you can go back to the excel file-format, using something like json2xls.
const result = excelToJson({
sourceFile: 'SOME-EXCEL-FILE.xlsx'
});
result.sheet1[0]["Col_Name"] = "Foo"
However, this may not be feasible for extremely large excel sheets, especially if it becomes inconvenient to hold the entire contents in memory. If this is the case, then copying the sheet data over line-by-line, and modifying the required row would probably be the way to go. I'm going to draw this answer to a close here because I'm not sure if that's what you're looking for, but if it is, I'd be glad to help out with that :)
In my rdlc report have following columns
SlNo, Item, Uom, Qty, Rate, Amount
Here the Amount field is a formula (Rate*Qty)
The report is working fine, and when i export to excel also displaying the values are correctly.
But my problem is, after export to excel, when i change the Qty or Rate columns in excel file the Amount is not get changed automatically, because the formula is missing in the excel cell.
How can we include the formula in Amount column while export to excel from .rdlc?
I'm afraid that this required behaviour isn't really possible by just using the rdlc rendering.
In my search I stumbled upon this same link that QHarr posted: https://social.msdn.microsoft.com/Forums/en-US/3ddf11bf-e10f-4a3e-bd6a-d666eacb5ce4/report-viewer-export-ms-report-data-to-excel-with-formula?forum=vsreportcontrols
I haven't tried the project that they're suggesting but this might possibly be your best solution if it works. Unfortunately I do not have the time to test it myself, so if you test this please share your results.
I thought of the following workaround that seems to work most of the times, but isn't really that reliable because the formula sometimes gets displayed as full-text instead of being calculated. But I guess this could be solved by editing the excel file just after being exported, and changing the cell properties of this column containing the formula or just triggering the calculate.
Using the built-in-field Globals!RenderFormat.Name you can determine the render mode, this way you can display the result correctly when the report is being rendered to something different than Excel. When you export to Excel, you could change the value of the cell to the actual formula.
To form the formula it's self you'll need to figure this out on your own, but the RowNumber(Scope as String) function can be of use here to determine the row number of your cells.
Here is a possible example for the expression value of your amount column
=IIF(Globals!RenderFormat.Name LIKE "EXCEL*", "=E" & Cstr(RowNumber("DataSet1")+2) & "*F" & Cstr(RowNumber("DataSet1")+2) ,Fields!Rate.Value * Fields!Qty.Value )
Now considering that this formula sometimes gets displayed as full-text, and you'll probably have to edit the file post-rendering. If it's too complicated to determine which row/column the cell is on, you could also do this post-rendering. But I believe that the above expression should be easy enough to use to get your desired result without having to do much after rendering.
Update: The following code could be used to force the calculation of the formula (post rendering)
var fpath = #"C:\MyReport.xlsx";
using (var fs = File.Create(fpath))
{
var lr = new LocalReport();
//Initializing your reporter
lr.ReportEmbeddedResource = "MyReport.rdlc";
//Rendering to excel
var fbytes = lr.Render("Excel");
fs.Write(fbytes, 0, fbytes.Length);
}
var xlApp = new Microsoft.Office.Interop.Excel.Application() { Visible = false };
var wb = xlApp.Workbooks.Open(fpath);
var ws = wb.Worksheets[1];
var range = ws.UsedRange;
foreach (var cell in range.Cells)
{
var cellv = cell.Text as string;
if (!string.IsNullOrWhiteSpace(cellv) && cellv.StartsWith("="))
{
cell.Formula = cellv;
}
}
wb.Save();
wb.Close(0);
xlApp.Quit();
I work with people who use Excel and continuously add or subtract rows unbeknownst to me. I have to scrape a document for data, and the row where the header is found changes based on moods.
My challenge is to handle these oscillating currents by detecting where the header is.
I first organized my scrape using xlrd and a number of conditional statements using the values in the workbook.
My initial attempt works and is long (so I will not publish it) but involves bringing in the entire sheet, and not slices:
from xlrd import open_workbook
book = open_workbook(fName)
sheet = book.sheet_by_name(sht)
return book,sheet
However, it is big and I would prefer to get a more targeted selection. The header values never change, nor does when the data shows up after this row.
Do you know of a way to implicitly get the header based on a found value in the sheet using either pandas.ExcelFile or pandas.read_excel?
Here is my attempt with pandas.ExcelFile:
import pandas as pd
xlsx = pd.ExcelFile(fName)
dataFrame = pd.read_excel(xlsx, sht,
parse_cols=21, merge_cells=noMerge,
header=header)
return dataFrame
I cannot get the code to work unless I give the call the correct header value, which is exactly what I'm hoping to avoid.
This previous question seems to present a similar problem without addressing the concern of finding the headers implicitly.
Do the same loop through ExcelFile objects:
xlsx = pd.ExcelFile(fName)
sheet = xlsx.sheet_by_name(sht)
# apply the same algorithm you wrote against xlrd here
# ... results in having header_row = something, 0 based
dataFrame = pd.read_excel(xlsx, sht,
parse_cols=21, merge_cells=noMerge,
skip_rows=header_row)
Since writing varying sized data ranges to a sheet seems to remove an Excel Table if the data range is larger than the existing Excel tables range, I want to create a Table in Excel every time I run the code. I'm currently having a fair bit of difficulty creating the tables. The code I have right now to try and create the ListObject:
eSheets = e.ActiveWorkbook.Sheets;
eSheet = eSheets.get('Item', j);
eSheet.Activate;
eSheet.Range(horzcat('A1:R',mat2str(size(obj,1)+1))).Select;
eSheet.Listobjects.Add;
eSheet.Listobjects.Item(1).TableStyle = 'TableStyleMedium2';
eSheet.ListObjects.Item(1).Name = tablename;
Any commentary or suggestions would be appreciated
I dont know about using eSheet in matlab but with the function
xlswrite(filename,A,sheet,xlRange)
you can also write your data from a matrix to an excel table http://de.mathworks.com/help/matlab/ref/xlswrite.html and with
[A,B] = xlsfinfo('foofoo.xlsx');
sheetValid = any(strcmp(B, 'foo2'));
you can also check if a table sheet already exist so that you wont override the old one and create a new one, as seen in https://de.mathworks.com/matlabcentral/answers/25848-how-to-check-existence-of-worksheet-in-excel-file
I am not sure if this is what you are looking for thougth
Alright, since the post got downvoted (not sure why...) I found my own answer with the help of some VBA forums and MATLAB Newsgroup. Here's what the final code looks like for anyone else that has issues:
e = actxserver('Excel.Application');
ewb = e.Workbooks.Open('Path/to/file');
eSheets = e.ActiveWorkbook.Sheets;
eSheet = eSheets.get('Item', j);
eSheet.Activate;
range = horzcat('A1:R',mat2str(size(obj,1)+1));
range_todelete = horzcat('A1:R',mat2str(size(obj,1)+300));
Range1 = eSheet.get('Range',range_todelete);
Range1.Value=[];
eSheet.Range(range).Select;
name = 'Table_Name';
try eSheet.ListObjects(name).Item(1).Delete
catch
end
eSheet.Listobjects.Add;
eSheet.ListObjects.Item(1).Name = name;
eSheet.ListObjects.Item(1).TableStyle = 'TableStyleMedium2';
Range = eSheet.get('Range',range);
Range.Value = cellarray;