I am making an excel comparing program but I seem to be stuck. I want to compare two excel files in a spreadsheet. Here is my code:
import openpyxl
wb = openpyxl.load_workbook('C:\\Users\\Bill\\Desktop\\CK_Server_list_0.1.xlsx')
ws = wb.active
wb1 =
openpyxl.load_workbook('C:\\Users\\Bill\\Desktop\\CK_Server_list_0.2.xlsx')
ws1 = wb1.active
for x in ws.iter_cols(max_col=1):
for cell in x:
print(cell.value, cell.coordinate)
for row1 in ws1.iter_cols(min_col=1):
if row1[0].value != ws.cell(row=x, column=1).value:
print(str(row1[0].value) + ' is not equal to ' + str(ws.cell(row=x, column=1).value + ' ' + str(ws.cell(row=x, column=1).coordinate)))
And every time I run this it gives me an error saying that tuple() < int(). Can anyone fix this problem? Any help would be appreciated.
This error pops up because your variable x contains a tuple of cell objects at the time when the line if row1[0].value != ws.cell(row=x, column=1).value: gets executed. The input argument row requires an int value instead.
I think that a good approach for your problem would be to use for loops in combination with zip statements (more on zip here):
import openpyxl
wb = openpyxl.load_workbook('C:\\Users\\Bill\\Desktop\\CK_Server_list_0.1.xlsx')
ws = wb.active
wb1 = openpyxl.load_workbook('C:\\Users\\Bill\\Desktop\\CK_Server_list_0.2.xlsx')
ws1 = wb1.active
for (col, col_1) in zip(ws.iter_cols(), ws1.iter_cols()):
for (cell, cell_1) in zip(col, col_1):
if cell.value != cell_1.value:
print(str(cell.value) + ' is not equal to ' + str(cell_1.value) + ' ' + str(cell.coordinate))
Related
I am new to python and need some help understanding why my code continues to run past what I originally believed are the boundaries that I have set for rows and columns:
from openpyxl import load_workbook
wb = load_workbook("x_test.xlsx")
ws = wb.active
emptycellcount = 0
maxrow=50
maxcol=20
for col in ws.iter_cols(min_row = 0, max_row = maxrow):
for row in ws.iter_rows(min_col = 0, max_col = maxcol):
emptycellcount=0
for cell in row:
if cell.value == None:
emptycellcount += 1
print("The presence of an empty row is at " + str(cell.row) + " " + str(cell.column) + " " + str(emptycellcount))
elif cell.value != None:
emptycellcount = 0
emptyrow = cell.row
print("not empty " + str(cell.row) + " " + str(cell.column) + " " + str(emptycellcount))
break
Right now this code runs through the entire used range of my worksheet "x_text.xlsx" but I would like it to do 3 things:
only iterate through a maximum of 20 cells (columns) across 50 rows
stop running the code when an entirely empty row is found within the 50x20 cell range
save the location of the empty row to the variable "emptyrow" to be referenced again later
I have been working at this for a few days now and have yet to figure out a workable solution. Any help would be highly appreciated.
Thank you in advance!
I'm a beginner in Python and I'm developing a program that take some data of a .xlsx and put it into an other .xlsx.
To do so decided to use openpyxl. Here is the beginning of my code :
path1 = "sourceFile.xlsx"
path2 = "targetFile.xlsx"
sheet1 = openpyxl.load_workbook(path1, data_only=True)
sheet2 = openpyxl.load_workbook(path2)
As you can see I use the "data_only=True" to only take the data of my source file. My problem is that with this solution, "None" is returned for few cells of the source file. When I delete the "data_only=True" parameter, the formula is returned, "=B28" in these case. It's not what I want by the way that B28 cell of the target file has not the same value as B28 cell of source file.
I already search for solutions but surprisedly found nothing. If you have any idea you're welcomed !
If B28's value in the original file is different than the output file, then the issue is likely with the code you're using to copy the cells. When asked how you're extracting the cells, you gave code for extracting the value of a single cell. How are you extracting ALL the cells? For-loop? If you shared that code, we can further analyze this problem.
I'm including code which copies values from one file to another, you should be able to tweak this to your needs.
from openpyxl import load_workbook, Workbook
## VERSION 1: Output will have formulas from WB1
WB1 = load_workbook('int_column.xlsx')
WB1_WS1 = WB1['Sheet']
WB2 = Workbook()
WB2_WS1 = WB2.active # get the active sheet, so you don't need to create then delete one
# copy rows
for x, row in enumerate(WB1_WS1.rows):
if x < 100: # only copy first 100 rows
num_cells_in_row = len(row)
for y in range(num_cells_in_row):
WB2_WS1.cell(row=x + 1, column=y + 1).value = WB1_WS1.cell(row=x + 1, column=y + 1).value
WB2.save('copied.xlsx')
## VERSION 2: Output will have value displayed in cells in WB1
WB1 = load_workbook('int_column.xlsx', data_only=True)
WB1_WS1 = WB1['Sheet']
WB2 = Workbook()
WB2_WS1 = WB2.active # get the active sheet, so you don't need to create then delete one
# copy rows
for x, row in enumerate(WB1_WS1.rows):
if x < 100: # only copy first 100 rows
num_cells_in_row = len(row)
for y in range(num_cells_in_row):
WB2_WS1.cell(row=x + 1, column=y + 1).value = WB1_WS1.cell(row=x + 1, column=y + 1).value
WB2.save('copied.xlsx')
Please post more code if you need further assistance.
enter image description hereI would like to perform a calculation with XLWT I'm new to coding and bit confused with using for loop to repeat the formula in following columns, please help me understanding the for loop function for the below calculation
Please refer the image, I need a for loop to fill rest of the columns, so that I do not have to type 'w_sheet.write(1,2,xlwt.Formula('A2-B2'))' multiple times
import xlrd
import xlwt
from xlutils.copy import copy
wb = xlrd.open_workbook('Subtract.xls')
rb = copy(rb)
w_sheet = wb.get_sheet(0)
w_sheet.write(1,2,xlwt.Formula('A2-B2'))
w_sheet.write(2,2,xlwt.Formula('A3-B3'))
w_sheet.write(3,2,xlwt.Formula('A4-B4'))
w_sheet.write(4,2,xlwt.Formula('A4-B4'))
wb.save('Subtract.xls')
Hi try and understand that :D
import xlrd
import xlwt
from xlutils.copy import copy
import os
file_path = "test.xls"
rb = xlrd.open_workbook(file_path, formatting_info=True)
wb = copy(rb)
w_sheet = wb.get_sheet(0)
# For each sheet, do operation
for sheet in rb.sheets():
# For each row in actual sheet, row += 1 at each operation
for row in range(sheet.nrows - 1):
# Set index for operation and result
index = row + 2
# Create operation
operation = 'A' + str(index) + '-B' + str(index)
# Use operation
w_sheet.write(index-1, 2, xlwt.Formula(operation))
# Print for you can understand what it do
print ("index = " + str(index) + " operation = " + operation)
# Save in file_path.out.xls
wb.save(file_path + '.out' + os.path.splitext(file_path)[-1])
So I was making a quick script to loop through a bunch of sheets in an excel file (22 to be exact) and what I wanted to do was the following:
Open the excel sheet and open the sheet named "All" which contained a list of names and then loop through each name and do the following
To loop through all the other 22 sheets in the same workbook and look through each one for the name, which I knew was in the 'B' column.
If the name were to be found, I wanted to take all the columns in that row containing the data for that name and these columns were from A-H
Then copy and paste them next to the original name (same row) in the 'All sheet' while leaving a bit of a space between the original name and the others.
I wanted to do this for all 22 sheets and for the 200+ names listed in the 'All' sheet, my code is as follows:
import openpyxl, pprint
columns = ['A','B','C','D','E','F','G','H']
k = 10
x = 0
def colnum_string(n):
string = ""
while n > 0:
n, remainder = divmod(n - 1, 26)
string = chr(65 + remainder) + string
return string
print("Opening Workbook...")
wb = openpyxl.load_workbook('FileName.xlsx')
sheet_complete = wb.get_sheet_by_name("All")
row_count_all = sheet_complete.max_row
for row in range(4, row_count_all+1):
k = 10
cell = 'B' + str(row)
print(cell)
name = sheet_complete[cell].value
for i in range(2, 23):
sheet = wb.get_sheet_by_name(str(1995 + i))
row_count = sheet.max_row
for row2 in range(2, row_count+1):
cell2 = 'B' + str(row2)
name2 = sheet[cell].value
if name == name2:
x = x + 1
for z in range(0,len(columns)):
k = k + 1
cell_data = sheet[columns[z] + str(row2)].value
cell_target = colnum_string(k) + str(row)
sheet_complete[cell_target] = cell_data
wb.save('Scimago Country Ranking.xlsx')
print("Completed " + str(x) + " Task(s)")
break
The problem is that it keeps looping with the first name only, so it goes through all the names but when it comes to copying and pasting the data, it just redoes the first name so in the end, I end up with all the names in the 'All' sheet and next to each one is the data for the first name repeated over and over. I can't see what's wrong with my code but forgive me if it's a silly mistake as I'm kind of a beginner in these excel parsing scripts. print statements were for testing reasons.
P.S I know I'm using a deprecated function and I will change that, I was just too lazy to do it since it seems to still work fine and if that's the problem then please let me know.
I'm trying to copy an entire column over using OpenPyXL. Google seems to offer a lot of examples using ranges, but not for an entire column.
I have a workbook with a single worksheet with a load of dates in column A and column JX (A contains monthly dates, JX contains quarterly dates). I want the monthly dates column (in A:A) to be copied over to each worksheet ending in 'M' in my target workbook, and the quarterly dates column (in JX:JX) to the worksheets ending in 'Q'.
However, for some reason the last nested for loop, for src, dst in zip(ws_base[monthRange], ws_target['A:A']): is only copying the first cell, and nothing else. It looks like I'm identifying the correct column with my monthRange and quarterRange strings, but Python isn't looping through the whole column despite the fact that I've got two ranges defined.
Does anyone have any ideas?
# Load the target workbook
targetwb = openpyxl.load_workbook('pythonOutput.xlsx')
# Load the source workbook
wb_base = openpyxl.load_workbook('Baseline_IFRS9_' + reportingMonth+'.xlsx')
# Go to row 9 and find "Geography:" to identify the relevant
# month and quarter date columns
sentinel = u"Geography:"
ws_base = wb_base.active
found = 0
dateColumns = []
for column in ws_base:
for cell in column:
if cell.value == sentinel:
dateColumns.append(cell.column) #
found + 1
if found == 2:
break
ColumnM = dateColumns[0]
ColumnQ = dateColumns[1]
print('Monthly col is ' + ColumnM)
print('Quarterly col is ' + ColumnQ)
IndexM = int(openpyxl.utils.column_index_from_string(str(ColumnM)))
IndexQ = int(openpyxl.utils.column_index_from_string(str(ColumnQ)))
print('Monthly col index is ' + str(IndexM))
print('Quarterly col index is ' + str(IndexQ))
print('Proceeding to paste into our new workbook...')
sheetLoop = targetwb.get_sheet_names()
for sheets in sheetLoop:
if sheets.endswith('Q'):
ws_target = targetwb[sheets]
quarterRange = ColumnQ + ':' + ColumnQ
print('Copying and pasting quarterly dates into: ' + sheets)
for src, dst in zip(ws_base[quarterRange], ws_target['A:A']):
dst.value = src.value
elif sheets.endswith('M'):
ws_target = targetwb[sheets]
monthRange = ColumnM + ':' + ColumnM
print('Copying and pasting monthly dates into: ' + sheets)
for src, dst in zip(ws_base[monthRange], ws_target['A:A']):
dst.value = src.value
targetwb.save('pythonOutput.xlsx')
Here's a simpler form of my problem.
import openpyxl
wb1 = openpyxl.load_workbook('pythonInput.xlsx')
ws1 = wb1.active
wb2 = openpyxl.load_workbook('pythonOutput.xlsx')
ws2 = wb2.active
for src, dst in zip(ws1['A:A'], ws2['B:B']):
print( 'Printing from ' + str(src.column) + str(src.row) + ' to ' + str(dst.column) + str(dst.row))
dst.value = src.value
wb2.save('test.xlsx')
So the problem here is that the for loop only prints from A1 to B1. Shouldn't it be looping down across rows..?
When you load a new XLSX in a spreadsheet editor, you see lots and lots of empty cells in a grid. However, these empty cells are actually omitted from the file, and they will be only written once they have a non-empty value. You can see for yourself: XLSX is essentially a bunch of ZIP-compressed XMLs, which can be opened with any archive manager.
In a similar fashion, new cells in OpenPyXL are only created when you access them. The ws2['B:B'] range only contains one cell, B1, and zip stops when the shortest iterator is exhausted.
With this in mind, you can iterate through the source range and use explicit coordinates to save the values in correct cells:
import openpyxl
wb1 = openpyxl.load_workbook('pythonInput.xlsx')
ws1 = wb1.active
wb2 = openpyxl.load_workbook('pythonOutput.xlsx')
ws2 = wb2.active
for cell in ws1['A:A']:
print('Printing from ' + str(cell.column) + str(cell.row))
ws2.cell(row=cell.row, column=2, value=cell.value)
wb2.save('test.xlsx')