call col_values via letters identifying the column

When I need to append values in columns where there may be blank values, for example:

row 1
row 2
row 3


row 6

It is necessary to collect the column values to calculate which first row will be empty to append the new values:

sheet = client.open_by_key('XXX').worksheet("GSPREAD")
rows = sheet.col_values(3)
new = [['b'],['c'],['b'],['c'],['b'],['c']]
sheet.append_rows(new,table_range='C'+ str(len(rows)+1))

To reduce the risk of errors in updates, for example, I used to add values it to column 3 (‘C’), now I’m going to add it to column 1 (‘A’), sometimes accidentally forget to change one or the other for the difference display between letters and numbers.

Because col_values uses numbers. append_rows table_range uses letters.

If there was an option to use letters in col_values I could create a single object (col) for both calls:

sheet = client.open_by_key('XXX').worksheet("GSPREAD")
col = 'C'
rows = sheet.col_values(col)
new = [['a'],['b'],['c'],['d'],['e'],['f']]
sheet.append_rows(new, table_range = col + str(len(rows)+1))

[lavigne958]

alright then, let’s go for it, this goes to the milestone for the next release !

[fredericomattos]

Really, this way could use it for all other functions instead of changing all the functions to accept letters and numbers, cool, I liked your idea of adding it to utils!