Formatting entire excel worksheet - Python - python

Is there to format the entire xlsx font in python without iterating through each cell. And if this is possible , which module perform this?

You should try xlwings. It is very easy to use.
There is this cheat sheet that can help you with the library.
I think a line of code like this is close to what you need:
Range('A1:Z100').api.Font.Size = 20
Hope it helps!

You can read xls files with the help of python module xlrd to install it use the command.
pip install xlrd
Below is the example of how to use xlrd to open spreadsheet in python.
import xlrd
file_location = "your excel spreadsheet file location"
workbook = xlrd.open_workbook(file_location)
sheet = workbook.sheet_by_index(0)
# for printing it row by row
for col in range(sheet.ncols):
print(sheet.cell_value(0, col)) # change 0 to print different rows
For further reading check the link please & for the video guidance click here
I hope it works for you : D

Related

How to get the value from merged cells in xlsx file using python?

I am trying to get the value from cell with row = 11 and column B and C. See screenshot for more clarification.
I tried following code using xlrd package but it does not print anything.
import xlrd
path = "C:/myfilepath/data.xlsx"
workbook = xlrd.open_workbook(path)
sheet = workbook.sheet_by_index(0)
sheet.cell_value(10,1)
sheet.cell_value(10,2)
I am not able to output the value from particular merged cells using xlrd package in python.
Above code should print the cell value i.e PCHGFT001KS
I don't know how xlrd works, but I do know how the lovely openpyxl works. You should use openpyxl! it's a robust tool for working with xlsx files. (NOT xls).
import openpyxl
wb = openpyxl.load_workbook(excel)
ws = wb[wb.get_sheet_names()[0]]
print(ws['B11'].value)
Extra:
If you want to unmerge those blocks you can do the following.
for items in ws.merged_cell_ranges:
ws.unmerge_cells(str(items))
wb.save(excel)

Write data into existing excel file and making summary table

I have to write some data into existing xls file.(i should say that im working on unix and couldnt use windows)
I prefer work with python and have tried some libraries like xlwt, openpyxl, xlutils.
Its not working, cause there is some filter in my xls file. After rewriting this file filter is dissapearing. But i still need this filter.
Could some one tell me about options that i have.
help, please!
Example:
from xlutils.copy import copy
from xlrd import open_workbook
from xlwt import easyxf
start_row=0
rb=open_workbook('file.xls')
r_sheet=rb.sheet_by_index(1)
wb=copy(rb)
w_sheet=wb.get_sheet(1)
for row_index in range(start_row, r_sheet.nrows):
row=r_sheet.row_values(row_index)
call_index=0
for c_el in row:
value=r_sheet.cell(row_index, call_index).value
w_sheet.write(row_index, call_index, value)
call_index+=1
wb.save('file.out.xls');
I also tried:
import xlrd
from openpyxl import Workbook
import unicodedata
rb=xlrd.open_workbook('file.xls')
sheet=rb.sheet_by_index(0)
wb=Workbook()
ws1=wb.create_sheet("Results", 0)
for rownum in range(sheet.nrows):
row=sheet.row_values(rownum)
arr=[]
for c_el in row:
arr.append(c_el)
ws1.append(arr)
ws2=wb.create_sheet("Common", 1)
sheet=rb.sheet_by_index(1)
for rownum in range(sheet.nrows):
row=sheet.row_values(rownum)
arr=[]
for c_el in row:
arr.append(c_el)
ws2.append(arr)
ws2.auto_filter.ref=["A1:A15", "B1:B15"]
#ws['A1']=42
#ws.append([1,2,3])
wb.save('sample.xls')
The problem is still exist. Ok, ill try to find machine running on windows, but i have to admit something else:
There is some rows like this:
enter image description here
Ive understood what i was doing wrong, but i still need help.
First of all, i have one sheet that contains some values
Second sheet contains summary table!!!
If i try to copy this worksheet it did wrong.
So, the question is : how could i make summary table from first sheet?
Suppose your existing excel file has two columns (date and number).
This is how you will append additional rows using openpyxl.
import openpyxl
import datetime
wb = openpyxl.load_workbook('existing_data_file.xlsx')
sheet = wb.get_sheet_by_name('Sheet1')
a = sheet.get_highest_row()
sheet.cell(row=a,column=0).value=datetime.date.today()
sheet.cell(row=a,column=1).value=30378
wb.save('existing_data_file.xlsx')
If you are on Windows, I would suggest you take a look at using the win32com.client approach. This allows you to interact with your spreadsheet using Excel itself. This will ensure that any existing filters, images, tables, macros etc should be preserved.
The following example opens an XLS file adds one entry and saves the whole workbook as a different XLS formatted file:
import win32com.client as win32
import os
excel = win32.gencache.EnsureDispatch('Excel.Application')
wb = excel.Workbooks.Open(r'input.xls')
ws = wb.Worksheets(1)
# Write a value at A1
ws.Range("A1").Value = "Hello World"
excel.DisplayAlerts = False # Allow file overwrite
wb.SaveAs(r'sample.xls', FileFormat=56)
excel.Application.Quit()
Note, make sure you add full paths to your input and output files.

"Worksheet range names does not exist" KeyError in openpyxl

Let me preface this by saying I have tried looking for, and cannot seem to find a similar situation so please don't be too upset if this seems familiar to you. I am using Python 2.7 and openpyxl version 2.2.5 (I need to use 2.7, and used an older module for other reasons.)
I am new to Python and read/write code in general, so I'm testing this on the command line before I implement it:
I created a file, foo.xlsx in the Python27 file directory with some values that I manually entered via Excel.
I then used this simple code on the Python command line to test my code
from openpyxl import load_workbook
wb = load_workbook('foo.xlsx')
sheet_ranges = wb['range names']
It then resulted in the following error:
File "C:\Python27\lib\openpyxl\workbook.workbook.py", line 233 in getitem
raise KeyError("Worksheet {0} does not exist.".format(key))
KeyError: 'Worksheet sheet range names does not exist'
So I thought it had something to do with not importing the entire openpyxl module. I proceeded to do that and run the whole process but it resulted in the same error.
Can someone please let me know what I am doing wrong/how to solve this?
Additional information:
I had successfully written to an empty file before, and then read the values. This gave me the right values for everything EXCEPT what I had written in manually via Excel- the cells that had manual input returned None or Nonetype. The issue seems to be with cells with manual input.
I did hit save on the file before accessing it don't worry
This was in the same directory so I know that it wasn't a matter of location.
The following command does not make sense:
sheet_ranges = wb['range names']
Normally you open a workbook and then access one of the worksheets, the following gives you some examples on how this can be done:
import openpyxl
wb = openpyxl.Workbook()
wb = openpyxl.load_workbook(filename = 'input.xlsx')
# To display all of the available worksheet names
sheets = wb.sheetnames
print sheets
# To work with the first sheet (by name)
ws = wb[sheets[0]]
print ws['A1'].value
# To work with the active sheet
ws = wb.active
print ws['A1'].value
# To work with the active sheet (alternative method)
ws = wb.get_active_sheet()
print ws['A1'].value
If you want to display any named range in the workbook, you can do the following:
print wb.get_named_ranges()
I'm not exactly sure what it is you need to do, but to read Excel spreadsheets into python, I usually use xlrd (which to me was easier to get use to). See example:
import xlrd
workbook = xlrd.open_workbook(in_fname)
worksheet = workbook.sheet_by_index(0)
To write to Excel spreadsheets, I use xlsxwriter:
import xlsxwriter
workbook = xlsxwriter.Workbook(out_fname)
worksheet = workbook.add_worksheet('spreadsheet_name')
Hope this helps.

editing existing excel workbook using xlrd, xlwt and xlutils

How to edit and save the data in an existing excel workbook using xlrd, xlwt and xlutils module?
could someone please provide a sample code to edit and save the data in excel workbook?
I am trying to put data from one workbook to another.
import xlrd, xlwt, xlutils
wb1 = xlrd.open_workbook('workbook1.xls', formatting_info=True)
wb2 = xlrd.open_workbook('workbook2.xls', formatting_info=True)
value 1 == wb2.sheet_by_name('Sheet1).cell(2,1).value
wb1.sheet_by_name('Sheet1').cell(2,2).value == value1
How to save this data in workbook1.xls?
Sorry, I asked this before, but I am trying to be more clear about my question this time.
Thank you very much.
You can save with wb1.save('workbook1.xls'). You might get an IOError that the file already exists. In that case try to os.remove() the file before saving.
I agree with the previous answer of using the xlwt library save method. But you should also do some proof reading of your code. You are missing a closing quote for Sheet1 and variable names cannot have spaces.

Reading .xlsx format in python

I've got to read .xlsx file every 10min in python.
What is the most efficient way to do this?
I've tried using xlrd, but it doesn't read .xlsx - according to documentation he does, but I can't do this - getting Unsupported format, or corrupt file exceptions.
What is the best way to read xlsx?
I need to read comments in cells too.
xlrd hasn't released the version yet to read xlsx. Until then, Eric Gazoni built a package called openpyxl - reads xlsx files, and does limited writing of them.
Use Openpyxl some basic examples:
import openpyxl
# Open Workbook
wb = openpyxl.load_workbook(filename='example.xlsx', data_only=True)
# Get All Sheets
a_sheet_names = wb.get_sheet_names()
print(a_sheet_names)
# Get Sheet Object by names
o_sheet = wb.get_sheet_by_name("Sheet1")
print(o_sheet)
# Get Cell Values
o_cell = o_sheet['A1']
print(o_cell.value)
o_cell = o_sheet.cell(row=2, column=1)
print(o_cell.value)
o_cell = o_sheet['H1']
print(o_cell.value)
# Sheet Maximum filled Rows and columns
print(o_sheet.max_row)
print(o_sheet.max_column)
There are multiple ways to read XLSX formatted files using python. Two are illustrated below and require that you install openpyxl at least and if you want to parse into pandas directly you want to install pandas, eg. pip install pandas openpyxl
Option 1: pandas direct
Primary use case: load just the data for further processing.
Using read_excel() function in pandas would be your best choice. Note that pandas should fall back to openpyxl automatically but in the event of format issues its best to specify the engine directly.
df_pd = pd.read_excel("path/file_name.xlsx", engine="openpyxl")
Option 2 - openpyxl direct
Primary use case: getting or editing specific Excel document elements such as comments (requested by OP), formatting properties or formulas.
Using load_workbook() followed by comment extraction using the comment attribute for each cell would be achieved by the following.
from openpyxl import load_workbook
wb = load_workbook(filename = "path/file_name.xlsx")
ws = wb.active
ws["A1"].comment # <- loop through row & columns to extract all comments

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