Populating google spreadsheet by row, not by cell

Question

I have a spreadsheet whose values I want to populate with values from dictionaries within a list. I wrote a for loop that updates cell by cell, but it is too slow and I get the gspread.httpsession.HTTPError often. I am trying to write a loop to update row by row. Thats what I have:

lstdic=[
{'Amount': 583.33, 'Notes': '', 'Name': 'Jone', 'isTrue': False,},
{'Amount': 58.4, 'Notes': '', 'Name': 'Kit', 'isTrue': False,},
{'Amount': 1083.27, 'Notes': 'Nothing', 'Name': 'Jordan', 'isTrue': True,}
]

Here is my cell by cell loop:

headers = wks.row_values(1)

    for k in range(len(lstdic)):
        for key in headers:
            cell = wks.find(key)
            cell_value = lstdic[k][key]
            wks.update_cell(cell.row + 1 + k, cell.col, cell_value)

What it does is it finds a header that corresponds to the key in the list of dictionaries and updates the cell under it. The next iteration the row is increased by one, so it updates cells in the same columns, but next row. This is too slow and I want to update by row. My attempt:

headers = wks.row_values(1)

row=2
for k in range(len(lsdic)):
    cell_list=wks.range('B%s:AA%s' % (row,row))
    for key in headers: 
        for cell in cell_list:
            cell.value = lsdic[k][key]
    row+=1
    wks.update_cells(cell_list)

This one updates each row quickly, but with the same value. So, the third nested for loop assigns the the same value for each cell. I am breaking my head trying to figure out how to assign right values to the cells. Help appreciated.

P.S. by the way I am using headers because I want a certain order in which values in the google spreadsheet should appear.

Answer 1

The following code is similar to Koba's answer but writes the full sheet at once instead of per row. This is even faster:

# sheet_data  is a list of lists representing a matrix of data, headers being the first row.
#first make sure the worksheet is the right size
worksheet.resize(len(sheet_data), len(sheet_data[0]))
cell_matrix = []
rownumber = 1

for row in sheet_data:
    # max 24 table width, otherwise a two character selection should be used, I didn't need this.
    cellrange = 'A{row}:{letter}{row}'.format(row=rownumber, letter=chr(len(row) + ord('a') - 1))
    # get the row from the worksheet
    cell_list = worksheet.range(cellrange)
    columnnumber = 0
    for cell in row:
        cell_list[columnnumber].value = row[columnnumber]
        columnnumber += 1
    # add the cell_list, which represents all cells in a row to the full matrix
    cell_matrix = cell_matrix + cell_list
    rownumber += 1
# output the full matrix all at once to the worksheet.
worksheet.update_cells(cell_matrix)

Answer 2

I ended up writing the following loop that fills a spreadsheet by row amazingly fast.

headers = wks.row_values(1)        
row = 2 # start from the second row because the first row are headers
for k in range(len(lstdic)):
        values=[]
        cell_list=wks.range('B%s:AB%s' % (row,row)) # make sure your row range equals the length of the values list
        for key in headers:
            values.append(lstdic[k][key])   
        for i in range(len(cell_list)):
            cell_list[i].value = values[i]
        wks.update_cells(cell_list)
        print "Updating row " + str(k+2) + '/' + str(len(lstdic) + 1)
        row += 1