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I want to iterate this list in my excel file, can you show me a different way to do it?

My question is simple and I'm sorry to ask it here. But I tried several ways to iterate through my excel file and I'm having trouble finding the solution.
from openpyxl import workbook, load_workbook
wb = load_workbook("italian_team.xlsx")
ws = wb.active
rows = ws["A"]
equipe = ["Juventus", "Ac Milan", "Torino", "Pescara", "As Roma", "Genoa", "Napoli"]
for cell in rows:
x = equipe[cell]
wb.save("italian_team.xlsx")

Do you mean you just want to insert your list as a row in the workbook?
If so there are a few options, you could just append the list as is to the sheet in which case it will be enter after the last used row.
Or specify the row (and column) to add to.
Both options are shown in the code below
from openpyxl import workbook, load_workbook
wb = load_workbook("italian_team.xlsx")
ws = wb.active
# rows = ws["A"]
equipe = ["Juventus", "Ac Milan", "Torino", "Pescara", "As Roma", "Genoa", "Napoli"]
# for cell in rows:
# x = equipe[cell]
# This will append the list after the last used row
ws.append(equipe)
# This will enter the list at row 1 column 1 to the length of the list
# Use min_row = and max_col = as well if the list is to be on another row or start at another column
for row in ws.iter_rows(max_row=1, max_col=len(equipe)):
for enum, cell in enumerate(row):
cell.value = equipe[enum]
wb.save("italian_team.xlsx")

Is there a way to find the current row of the iteration using 'openpyxl' on Python?

I'm working with a xlsx file where it is divided by sections with empty rows and each section has an information displayed in a different manner i.e. different columns.
So i'm basically trying to find the section that i'm looking for ('Ação') and create a range from its next line, where are the headers, until the next empty row so I can create a DataFrame of this range.
when I try to print the index, it returns a tuple containing the values of the row, but I couldn't find a way to return its index (integer)
from openpyxl import load_workbook
data = '2019/02/07'
symbol = 'EQTL3'
ano = data[0:4]
mes = data[5:7]
dia = data[8:10]
file = "Fundo_{}{}{}.xlsx".format(ano, mes, dia)
wb = load_workbook(filename=file, read_only=False)
ws = wb["Fundo_{}{}{}".format(ano, mes, dia)]
for cell in ws['A']:
if (cell.value == 'Ação'):
x = int(cell.coordinate[1:]) + 1
for index in ws.iter_rows(min_row=x, max_col=ws.max_column, max_row=ws.max_row, values_only=True):
if (index[0] == None):
y = ws._current_row
break
I expect to receive an integer value with the index of the last row different than empty.

you can use enumerate for that....
something like this:
for row_idx, row_of_cells in enumerate(ws.iter_rows(min_row=x, values_only=True), start=1):

openpyxl: Iterate through all the rows and get the row data in a tuple

How do I iterate through all the rows in an xls sheet, and get each row data in a tuple. So at the end of the iteration, I should have a list of tuples with each element in the list, being a tuple of row data.
For instance: This is the content of my spreadsheet:
testcase_ID input_request request_change
test_1A test/request_1 YES
test_2A test/request_2 NO
test_3A test/request_3 YES
test_4A test/request_4 YES
my final list should be:
[(test_1A, test/request_1, YES),
(test_2A, test/request_2, NO),
(test_3A, test/request_3, YES),
(test_4A, test/request_4, YES)]
How can I do this in openpyxl?

I think this task would be easier with xlrd. However, if you want to use openpyxl, then assuming that testcase_ID is in column A, input_request in column B, and request_change in column C somehting like this might be what you are looking for:
import openpyxl as xl
#Opening xl file
wb = xl.load_workbook('PATH/TO/FILE.xlsx')
#Select your sheet (for this example I chose active sheet)
ws = wb.active
#Start row, where data begins
row = 2
testcase = '' #this is just so that you can enter while - loop
#Initialiazing list
final_list = []
#With each iteration we get the value of testcase, if the cell is empty
#tescase will be None, when that happens the while loop will stop
while testcase is not None:
#Getting cell value, from columns A, B and C
#Iterating through rows 2, 3, 4 ...
testcase = ws['A' + str(row)].value
in_request = ws['B' + str(row)].value
req_change = ws['C' + str(row)].value
#Making tuple
row_tuple = (testcase, in_request, req_change)
#Adding tuple to list
final_list.append(row_tuple)
#Going to next row
row += 1
#This is what you return, you don't want the last element
#because it is tuple of None's
print(final_list[:-1])
If you want to do it with xlrd this is how I would do it:
import xlrd
#Opening xl file
wb = xlrd.open_workbook('PATH/TO/FILE.xlsx')
#Select your sheet (for this example I chose first sheet)
#you can also choose by name or something else
ws = wb.sheet_by_index(0)
#Getting number of rows and columns
num_row = ws.nrows
num_col = ws.ncols
#Initializing list
final_list = []
#Iterating over number of rows
for i in range(1,num_row):
#list of row values
row_values = []
#Iterating over number of cols
for j in range(num_col):
row_values.append(ws.cell_value(i,j))
#Making tuple with row values
row_tuple = tuple(row_values)
#Adding tuple to list
final_list.append(row_tuple)
print(final_list)
Adding xlrd index specifications comments at the end for easy reading:
Deleted if statement, when num_row is 1 then for-loop never happens
xlrd indexes rows beginning at 0
for row 2 we want index 1
Columns are also zero-indexed (A=0, B=1, C=2...)

Openpyxl: How to copy a row after checking if a cell contains specific value

I have a worksheet that is updated every week with thousands of rows and would need to transfer rows from this worksheet after filtering. I am using the current code to find the cells which has the value I need and then transfer the entire row to another sheet but after saving the file, I get the "IndexError: list index out of range" exception.
The code I use is as follows:
import openpyxl
wb1 = openpyxl.load_workbook('file1.xlsx')
wb2 = openpyxl.load_workbook('file2.xlsx')
ws1 = wb1.active
ws2 = wb2.active
for row in ws1.iter_rows():
for cell in row:
if cell.value == 'TrueValue':
n = 'A' + str(cell.row) + ':' + ('GH' + str(cell.row))
for row2 in ws1.iter_rows(n):
ws2.append(row2)
wb2.save("file2.xlsx")
The original code I used that used to work is below and has to be modified because of the large files which causes MS Excel not to open them (over 40mb).
n = 'A3' + ':' + ('GH'+ str(ws1.max_row))
for row in ws1.iter_rows(n):
ws2.append(row)
Thanks.

I'm not entirely sure what you're trying to do but I suspect the problem is that you have nested your copy loop.
Try the following:
row_nr = 1
for row in ws1:
for cell in row:
if cell.value == "TrueValue":
row_nr = cell.row
break
if row_nr > 1:
break
for row in ws1.iter_rows(min_row=row_nr, max_col=190):
ws2.append((cell.value for cell in row))

Question: I get the "IndexError: list index out of range" exception.
I get, from ws1.iter_rows(n)
UserWarning: Using a range string is deprecated. Use ws[range_string]
and from ws2.append(row2).
ValueError: Cells cannot be copied from other worksheets
The Reason are row2 does hold a list of Cell objects instead of a list of Values
Question: ... need to transfer rows from this worksheet after filtering
The following do what you want, for instance:
# If you want to Start at Row 2 to append Row Data
# Set Private self._current_row to 1
ws2.cell(row=1, column=1).value = ws2.cell(row=1, column=1).value
# Define min/max Column Range to copy
from openpyxl.utils import range_boundaries
min_col, min_row, max_col, max_row = range_boundaries('A:GH')
# Define Cell Index (0 Based) used to Check Value
check = 0 # == A
for row in ws1.iter_rows():
if row[check].value == 'TrueValue':
# Copy Row Values
# We deal with Tuple Index 0 Based, so min_col must have to be -1
ws2.append((cell.value for cell in row[min_col-1:max_col]))
Tested with Python: 3.4.2 - openpyxl: 2.4.1 - LibreOffice: 4.3.3.2

Use a list to hold the items in each column for the particular row.
Then append the list to your ws2.
...
def iter_rows(ws,n): #produce the list of items in the particular row
for row in ws.iter_rows(n):
yield [cell.value for cell in row]
for row in ws1.iter_rows():
for cell in row:
if cell.value == 'TrueValue':
n = 'A' + str(cell.row) + ':' + ('GH' + str(cell.row))
list_to_append = list(iter_rows(ws1,n))
for items in list_to_append:
ws2.append(items)

I was able to solve this with lists for my project.
import openpyxl
#load data file
wb1 = openpyxl.load_workbook('original.xlsx')
sheet1 = wb1.active
print("loaded 1st file")
#new template file
wb2 = openpyxl.load_workbook('blank.xlsx')
sheet2 = wb2.active
print("loaded 2nd file")
header = sheet1[1:1] #grab header row
listH =[]
for h in header:
listH.append(h.value)
sheet2.append(listH)
colOfInterest= 11 # this is my col that contains the value I'm checking against
for rowNum in range(2, sheet1.max_row +1): #iterate over each row, starting with 2 to skipping header from original file
if sheet1.cell(row=rowNum, column=colOfInterest).value is not None: #interested in non blank values in column 11
listA = [] # list which will hold my data
row = sheet1[rowNum:rowNum] #creates a tuple of row's data
#print (str(rowNum)) # for debugging to show what rows are copied
for cell in row: # for each cell in the row
listA.append(cell.value) # add each cell's data as an element in the list
if listA[10] == 1: # condition1 I'm checking for by looking up the index in the list
sheet2.append(listA) # appending the sheet2's next available row
elif listA[10] > 1: # condition2 I'm checking for by looking up the index in the list
# do something else and store it in bar
sheet2.append(bar) # appending the sheet2's next available row
print("saving file...")
wb2.save('result.xlsx') # save file
print("Done!")
Tested with: Python 3.7 openpyxl 2.5.4

Faster search method on the first empty cell in a column using openpyxl PYTHON 3.5

I am having a problem in searching a the first empty cell in a certain column
on a 40k lines .xlsx file. As the search goes farther, it becoming slower and slower. Is there a faster/instant search method in searching the first empty cell on a column?
wb = load_workbook(filename = dest_filename,read_only=True)
sheet_ranges1 = wb[name]
i = 1
x = 0
sam = 0
cc = 0
brgyst =Street+Brgy
entrylist = [TotalNoConfig,TotalNoChannel,Rsl,Mode,RslNo,Year,IssuedDate,Carrier,CaseNo,Site,brgyst,Municipality,Province,Region,Longitude1,Longitude2,Longitude3,Latitude1,Latitude2,Latitude3,ConvertedLong,ConvertedLat,License,Cos,NoS,CallSign,PTSVC,PTSVCCS,Tx,Rx] #The values to be inputted in the entire row after searching the last empty cell in column J
listX1 = ['A','B','C','D','E','F','G','H','I','J','K','L','M','N', 'O','P','Q','T','U','V','R','X','Y','Z','AA','AB','AM','AN','AP','FL'] #The columns in the file
eter = 0
while(x != 1):
cellS = 'J'+str(i) #until there is no empty cell
if(sheet_ranges1[cellS].value is None): #if found empty cell, insert the values
x=1
book = load_workbook(filename = dest_filename)
sheet = book[name]
rangeof = int(len(entrylist))
while(cc<rangeof):
cells = listX1[cc]+str(i)
sheet[cells]= entrylist[cc]
cc=cc+1
else:
x=0
sam = sam+1
i=i+1
wb.save(dest_filename)
wb.close()

In read-only mode every cell lookup causes the worksheet to parsed again so you should always use ws.iter_rows() for your work.