I have been looking at mostly the xlrd and openpyxl libraries for Excel file manipulation. However, xlrd currently does not support formatting_info=True for .xlsx files, so I can not use the xlrd hyperlink_map function. So I turned to openpyxl, but have also had no luck extracting a hyperlink from an excel file with it. Test code below (the test file contains a simple hyperlink to google with hyperlink text set to "test"):
import openpyxl
wb = openpyxl.load_workbook('testFile.xlsx')
ws = wb.get_sheet_by_name('Sheet1')
r = 0
c = 0
print ws.cell(row = r, column = c). value
print ws.cell(row = r, column = c). hyperlink
print ws.cell(row = r, column = c). hyperlink_rel_id
Output:
test
None
I guess openpyxl does not currently support formatting completely either? Is there some other library I can use to extract hyperlink information from Excel (.xlsx) files?
This is possible with openpyxl:
import openpyxl
wb = openpyxl.load_workbook('yourfile.xlsm')
ws = wb['Sheet1']
# This will fail if there is no hyperlink to target
print(ws.cell(row=2, column=1).hyperlink.target)
Starting from at least version openpyxl-2.4.0b1 this bug https://bitbucket.org/openpyxl/openpyxl/issue/152/hyperlink-returns-empty-string-instead-of was fixed. Now it's return for cell Hyperlink object:
hl_obj = ws.row(col).hyperlink # getting Hyperlink object for Cell
#hl_obj = ws.cell(row = r, column = c).hyperlink This could be used as well.
if hl_obj:
print(hl_obj.display)
print(hl_obj.target)
print(hl_obj.tooltip) # you can see it when hovering mouse on hyperlink in Excel
print(hl_obj) # to see other stuff if you need
FYI, the problem with openpyxl is an actual bug.
And, yes, xlrd cannot read the hyperlink without formatting_info, which is currently not supported for xlsx.
In my experience getting good .xlsx interaction requires moving to IronPython. This lets you work with the Common Language Runtime (clr) and interact directly with excel'
http://ironpython.net/
import clr
clr.AddReference("Microsoft.Office.Interop.Excel")
import Microsoft.Office.Interop.Excel as Excel
excel = Excel.ApplicationClass()
wb = excel.Workbooks.Open('testFile.xlsx')
ws = wb.Worksheets['Sheet1']
address = ws.Cells(row, col).Hyperlinks.Item(1).Address
A successful solution I've worked with is to install unoconv on the server and implement a
method that invokes this command line tool via the subprocess module to convert the file from xlsx to xls since hyperlink_map.get() works with xls.
For direct manipulation of Excel files it's also worth looking at the excellent XlWings library.
import openpyxl
wb = openpyxl.load_workbook('yourfile.xlsx')
ws = wb['Sheet1']
try:
print(ws.cell(row=2, column=1).hyperlink.target)
#This fail if their is no hyperlink
except:
print(ws.cell(row=2, column=1).value)
In order to handle the exception 'message': "'NoneType' object has no attribute 'target'", we can use it in a try/except block. So even if there are no hyperlinks available in the given cell, it will print the content contained in the cell.
If instead of just .hyperlink, doing .hyperlink.target should work. I was getting a 'None' as well from using just ".hyperlink" on the cell object before that.
Related
I'm using Python and openpyxl library, but, I'm not able to use the insert_cols() function in openpyxl when my spreadsheet is in write_only=True mode. So, basically, I just want to add a new column to my spreadsheet when it's in write_only=True mode.
I'm able to use insert_cols() when loading the workbook by load_workbook(), but, not when I'm using the write_only mode. I have to use the write_only mode because my spreadsheets are quite large.
Any ideas on how to add a new column are appreciated.
Thank you.
This is my code:
import openpyxl
from openpyxl import Workbook
from openpyxl import load_workbook
wb = load_workbook(filename=r'path\myExcel.xlsx', read_only=True)
ws = wb['PC Details']
wb_output = Workbook(write_only=True)
ws_output = wb_output.create_sheet(title='PC Details')
for row in ws.rows:
rowInCorrectFormat = [cell.value for cell in row]
ws_output.append(rowInCorrectFormat)
for cell in row:
print(cell.value)
### THIS IS THE PART OF THE CODE WHICH DOES NOT WORK
ws_output.insert_cols(12)
ws_output['L5'] = 'OK or NOT GOOD?'
###
wb_output.save(r'path\test_Output_optimized.xlsx')
This is the exact error that I'm getting:
ws_output.insert_cols(12)
AttributeError: 'WriteOnlyWorksheet' object has no attribute 'insert_cols'
The problem here lies in the flag write_only = True. Workbooks created by this flag set to true are different from regular Workbooks as you can look below.
Functions like insert_cols & insert_rows also do not work for such workbooks.
Possible solutions might be to not use this flag or use the ways suggested in the official documentation for adding data to the sheet.
For working with workbooks you might also find this article interesting. https://medium.com/aubergine-solutions/working-with-excel-sheets-in-python-using-openpyxl-4f9fd32de87f
You can read more in the official documentation. https://openpyxl.readthedocs.io/en/stable/optimized.html
I'm trying to add rows to an Excel file via Python (need this to run and refresh daily). The Excel file is essentially a template, at the top of which has some cells for some of the words within a cell have specific formatting, i.e. cell value "That cat is fluffy".
I can't quite find a way to get Python+Excel to work together to preserve that formatting - it takes the format of the first letter in the cell and applies it across the board.
From what I can tell, this is an issue with preserving rich text, but I haven't been able to find a package that can preserve rich text, read and write excel files.
I followed this thread to come up with the code below: writing to existing workbook using xlwt
But, it looks like that copy step from the xlutils package isn't preserving the rich text formatting.
import xlwt
import xlrd
from xlutils.copy import copy
rb = xlrd.open_workbook(templateFile,formatting_info=True)
r_sheet = rb.sheet_by_index(0)
wb = copy(rb)
w_sheet = wb.get_sheet(0)
xlsfile = Infile
insheet = xlrd.open_workbook(xlsfile,formatting_info=True).sheets()[0]
outrow_idx = 10
for row_idx in xrange(insheet.nrows):
for col_idx in xrange(insheet.ncols):
w_sheet.write(outrow_idx, col_idx,
insheet.cell_value(row_idx, col_idx))
outrow_idx += 1
wb.save(Outfile)
Please refer to this link over here, as it may help you with keeping the formatting
Preserving styles using python's xlrd,xlwt, and xlutils.copy
though it doesn't keep the cell comments
I have a simple excel file:
A1 = 200
A2 = 300
A3 = =SUM(A1:A2)
this file works in excel and shows proper value for SUM, but while using openpyxl module for python I cannot get value in data_only=True mode
Python code from shell:
wb = openpyxl.load_workbook('writeFormula.xlsx', data_only = True)
sheet = wb.active
sheet['A3']
<Cell Sheet.A3> # python response
print(sheet['A3'].value)
None # python response
while:
wb2 = openpyxl.load_workbook('writeFormula.xlsx')
sheet2 = wb2.active
sheet2['A3'].value
'=SUM(A1:A2)' # python response
Any suggestions what am I doing wrong?
It depends upon the provenance of the file. data_only=True depends upon the value of the formula being cached by an application like Excel. If, however, the file was created by openpyxl or a similar library, then it's probable that the formula was never evaluated and, thus, no cached value is available and openpyxl will report None as the value.
I have replicated the issue with Openpyxl and Python.
I am currently using openpyxl version 2.6.3 and Python 3.7.4. Also I am assuming that you are trying to complete an exercise from ATBSWP by Al Sweigart.
I tried and tested Charlie Clark's answer, considering that Excel may indeed cache values. I opened the spreadsheet in Excel, copied and pasted the formula into the same exact cell, and finally saved the workbook. Upon reopening the workbook in Python with Openpyxl with the data_only=True option, and reading the value of this cell, I saw the proper value, 500, instead of the wrong value, the None type.
I hope this helps.
I had the same issue. This may not be the most elegant solution, but this is what worked for me:
import xlwings
from openpyxl import load_workbook
excel_app = xlwings.App(visible=False)
excel_book = excel_app.books.open('writeFormula.xlsx')
excel_book.save()
excel_book.close()
excel_app.quit()
workbook = load_workbook(filename='writeFormula.xlsx', data_only=True)
I have suggestion to this problem. Convert xlsx file to csv :).
You will still have the original xlsx file. The conversion is done by libreoffice (it is that subprocess.call() line).You can use also Pandas for this as a more pythonic way.
from subprocess import call
from openpyxl import load_workbook
from csv import reader
filename="test"
wb = load_workbook(filename+".xlsx")
spread_range = wb['Sheet1']
#what ever function there is in A1 cell to be evaluated
print(spread_range.cell(row=1,column=1).value)
wb.close()
#this line can be done with subprocess or os.system()
#libreoffice --headless --convert-to csv $filename --outdir $outdir
call("libreoffice --headless --convert-to csv "+filename+".xlsx", shell=True)
with open(filename+".csv", newline='') as f:
reader = reader(f)
data = list(reader)
print(data[0][0])
or
# importing pandas as pd
import pandas as pd
# read an excel file and convert
# into a dataframe object
df = pd.DataFrame(pd.read_excel("Test.xlsx"))
# show the dataframe
df
I hope this helps somebody :-)
Yes, #Beno is right. If you want to edit the file without touching it, you can make a little "robot" that edits your excel file.
WARNING: This is a recursive way to edit the excel file. These libraries are depend on your machine, make sure you set time.sleep properly before continuing the rest of the code.
For instance, I use time.sleep, subprocess.Popen, and pywinauto.keyboard.send_keys, just add random character to any cell that you set, then save it. Then the data_only=True is working perfectly.
for more info about pywinauto.keyboard: pywinauto.keyboard
# import these stuff
import subprocess
from pywinauto.keyboard import send_keys
import time
import pygetwindow as gw
import pywinauto
excel_path = r"C:\Program Files\Microsoft Office\root\Office16\EXCEL.EXE"
excel_file_path = r"D:\test.xlsx"
def focus_to_window(window_title=None): # function to focus to window. https://stackoverflow.com/a/65623513/8903813
window = gw.getWindowsWithTitle(window_title)[0]
if not window.isActive:
pywinauto.application.Application().connect(handle=window._hWnd).top_window().set_focus()
subprocess.Popen([excel_path, excel_file_path])
time.sleep(1.5) # wait excel to open. Depends on your machine, set it propoerly
focus_to_window("Excel") # focus to that opened file
send_keys('%{F3}') # excel's name box | ALT+F3
send_keys('AA1{ENTER}') # whatever cell do you want to insert somthing | Type 'AA1' then press Enter
send_keys('Stackoverflow.com') # put whatever you want | Type 'Stackoverflow.com'
send_keys('^s') # save | CTRL+S
send_keys('%{F4}') # exit | ALT+F4
print("Done")
Sorry for my bad english.
As others already mentioned, Openpyxl only reads cashed formula value in data_only mode. I have used PyWin32 to open and save each XLSX file before it's processed by Openpyxl to read the formulas result value. This works for me well, as I don't process large files. This solution will work only if you have MS Excel installed on your PC.
import os
import win32com.client
from openpyxl import load_workbook
# Opening and saving XLSX file, so results for each stored formula can be evaluated and cashed so OpenPyXL can read them.
excel_file = os.path.join(path, file)
excel = win32com.client.gencache.EnsureDispatch('Excel.Application')
excel.DisplayAlerts = False # disabling prompts to overwrite existing file
excel.Workbooks.Open(excel_file )
excel.ActiveWorkbook.SaveAs(excel_file, FileFormat=51, ConflictResolution=2)
excel.DisplayAlerts = True # enabling prompts
excel.ActiveWorkbook.Close()
wb = load_workbook(excel_file)
# read your formula values with openpyxl and do other stuff here
I ran into the same issue. After reading through this thread I managed to fix it by simply opening the excel file, making a change then saving the file again. What a weird issue.
Strangely, when load an existed excel with openpyxl and save it again, the hyperlinks in the file disappears.
Either openpyxl 1.7.2 or the newest 1.8.5 has this problem.
Anyone can help with this problem?
Or is there any better choice than openpyxl?
I know xlrd/xlwt and XlsxWriter, but xlwt doesn't support .xlsx files, and XlsxWriter can't read existed files. I need modify a file many times in my application.
[UPDATED]: Look here. Seems this is bug not yet fixed?
The following code may be helpfull for your test.
#-*- coding: utf-8 -*-
import openpyxl
def create():
wb = openpyxl.Workbook()
ws = wb.worksheets[0]
ws.cell('A1').value = 'Click Me'
ws.cell('A1').hyperlink = 'http://www.google.com'
wb.save('test1.xlsx')
def rewrite():
wb = openpyxl.load_workbook('test1.xlsx')
ws = wb.worksheets[0]
wb.save('test2.xlsx')
if __name__ == '__main__':
create()
rewrite()
[2017-03-07 UPDATED]: The bug has been fixed, and the problem does not exist any more.
Try to use the HYPERLINK function in Excel. That results in a formula and not a value in that cell, but from a user's standpoint it most probably makes no difference:
ws.cell('A1').value = '=HYPERLINK("http://www.google.com","Click Me")'
As an addendum to Cedric's answer, if wanting to use excel's built in hyperlink function directly, you can use the following to format as a link:
'=HYPERLINK("{}", "{}")'.format(link, "Link Name")
Without this formatting, the file didn't open for me without needing repair, which removed the cell values with the attempted hyperlinks.
e.g. ws.cell(row=1, column=1).value = '=HYPERLINK("{}", "{}")'.format(link, "Link Name")
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What is the best way to read Excel (XLS) files with Python (not CSV files).
Is there a built-in package which is supported by default in Python to do this task?
I highly recommend xlrd for reading .xls files. But there are some limitations(refer to xlrd github page):
Warning
This library will no longer read anything other than .xls files. For
alternatives that read newer file formats, please see
http://www.python-excel.org/.
The following are also not supported but will safely and reliably be
ignored:
- Charts, Macros, Pictures, any other embedded object, including embedded worksheets.
- VBA modules
- Formulas, but results of formula calculations are extracted.
- Comments
- Hyperlinks
- Autofilters, advanced filters, pivot tables, conditional formatting, data validation
Password-protected files are not supported and cannot be read by this
library.
voyager mentioned the use of COM automation. Having done this myself a few years ago, be warned that doing this is a real PITA. The number of caveats is huge and the documentation is lacking and annoying. I ran into many weird bugs and gotchas, some of which took many hours to figure out.
UPDATE:
For newer .xlsx files, the recommended library for reading and writing appears to be openpyxl (thanks, Ikar Pohorský).
You can use pandas to do this, first install the required libraries:
$ pip install pandas openpyxl
See code below:
import pandas as pd
xls = pd.ExcelFile(r"yourfilename.xls") # use r before absolute file path
sheetX = xls.parse(2) #2 is the sheet number+1 thus if the file has only 1 sheet write 0 in paranthesis
var1 = sheetX['ColumnName']
print(var1[1]) #1 is the row number...
You can choose any one of them http://www.python-excel.org/
I would recommended python xlrd library.
install it using
pip install xlrd
import using
import xlrd
to open a workbook
workbook = xlrd.open_workbook('your_file_name.xlsx')
open sheet by name
worksheet = workbook.sheet_by_name('Name of the Sheet')
open sheet by index
worksheet = workbook.sheet_by_index(0)
read cell value
worksheet.cell(0, 0).value
I think Pandas is the best way to go. There is already one answer here with Pandas using ExcelFile function, but it did not work properly for me. From here I found the read_excel function which works just fine:
import pandas as pd
dfs = pd.read_excel("your_file_name.xlsx", sheet_name="your_sheet_name")
print(dfs.head(10))
P.S. You need to have the xlrd installed for read_excel function to work
Update 21-03-2020: As you may see here, there are issues with the xlrd engine and it is going to be deprecated. The openpyxl is the best replacement. So as described here, the canonical syntax should be:
dfs = pd.read_excel("your_file_name.xlsx", sheet_name="your_sheet_name", engine="openpyxl")
For xlsx I like the solution posted earlier as https://web.archive.org/web/20180216070531/https://stackoverflow.com/questions/4371163/reading-xlsx-files-using-python. I uses modules from the standard library only.
def xlsx(fname):
import zipfile
from xml.etree.ElementTree import iterparse
z = zipfile.ZipFile(fname)
strings = [el.text for e, el in iterparse(z.open('xl/sharedStrings.xml')) if el.tag.endswith('}t')]
rows = []
row = {}
value = ''
for e, el in iterparse(z.open('xl/worksheets/sheet1.xml')):
if el.tag.endswith('}v'): # Example: <v>84</v>
value = el.text
if el.tag.endswith('}c'): # Example: <c r="A3" t="s"><v>84</v></c>
if el.attrib.get('t') == 's':
value = strings[int(value)]
letter = el.attrib['r'] # Example: AZ22
while letter[-1].isdigit():
letter = letter[:-1]
row[letter] = value
value = ''
if el.tag.endswith('}row'):
rows.append(row)
row = {}
return rows
Improvements added are fetching content by sheet name, using re to get the column and checking if sharedstrings are used.
def xlsx(fname,sheet):
import zipfile
from xml.etree.ElementTree import iterparse
import re
z = zipfile.ZipFile(fname)
if 'xl/sharedStrings.xml' in z.namelist():
# Get shared strings
strings = [element.text for event, element
in iterparse(z.open('xl/sharedStrings.xml'))
if element.tag.endswith('}t')]
sheetdict = { element.attrib['name']:element.attrib['sheetId'] for event,element in iterparse(z.open('xl/workbook.xml'))
if element.tag.endswith('}sheet') }
rows = []
row = {}
value = ''
if sheet in sheets:
sheetfile = 'xl/worksheets/sheet'+sheets[sheet]+'.xml'
#print(sheet,sheetfile)
for event, element in iterparse(z.open(sheetfile)):
# get value or index to shared strings
if element.tag.endswith('}v') or element.tag.endswith('}t'):
value = element.text
# If value is a shared string, use value as an index
if element.tag.endswith('}c'):
if element.attrib.get('t') == 's':
value = strings[int(value)]
# split the row/col information so that the row leter(s) can be separate
letter = re.sub('\d','',element.attrib['r'])
row[letter] = value
value = ''
if element.tag.endswith('}row'):
rows.append(row)
row = {}
return rows
If you need old XLS format. Below code for ansii 'cp1251'.
import xlrd
file=u'C:/Landau/task/6200.xlsx'
try:
book = xlrd.open_workbook(file,encoding_override="cp1251")
except:
book = xlrd.open_workbook(file)
print("The number of worksheets is {0}".format(book.nsheets))
print("Worksheet name(s): {0}".format(book.sheet_names()))
sh = book.sheet_by_index(0)
print("{0} {1} {2}".format(sh.name, sh.nrows, sh.ncols))
print("Cell D30 is {0}".format(sh.cell_value(rowx=29, colx=3)))
for rx in range(sh.nrows):
print(sh.row(rx))
For older .xls files, you can use xlrd
either you can use xlrd directly by importing it. Like below
import xlrd
wb = xlrd.open_workbook(file_name)
Or you can also use pandas pd.read_excel() method, but do not forget to specify the engine, though the default is xlrd, it has to be specified.
pd.read_excel(file_name, engine = xlrd)
Both of them work for older .xls file formats.
Infact I came across this when I used OpenPyXL, i got the below error
InvalidFileException: openpyxl does not support the old .xls file format, please use xlrd to read this file, or convert it to the more recent .xlsx file format.
You can use any of the libraries listed here (like Pyxlreader that is based on JExcelApi, or xlwt), plus COM automation to use Excel itself for the reading of the files, but for that you are introducing Office as a dependency of your software, which might not be always an option.
You might also consider running the (non-python) program xls2csv. Feed it an xls file, and you should get back a csv.
Python Excelerator handles this task as well. http://ghantoos.org/2007/10/25/python-pyexcelerator-small-howto/
It's also available in Debian and Ubuntu:
sudo apt-get install python-excelerator
with open(csv_filename) as file:
data = file.read()
with open(xl_file_name, 'w') as file:
file.write(data)
You can turn CSV to excel like above with inbuilt packages. CSV can be handled with an inbuilt package of dictreader and dictwriter which will work the same way as python dictionary works. which makes it a ton easy
I am currently unaware of any inbuilt packages for excel but I had come across openpyxl. It was also pretty straight forward and simple You can see the code snippet below hope this helps
import openpyxl
book = openpyxl.load_workbook(filename)
sheet = book.active
result =sheet['AP2']
print(result.value)
For older Excel files there is the OleFileIO_PL module that can read the OLE structured storage format used.
If the file is really an old .xls, this works for me on python3 just using base open() and pandas:
df = pandas.read_csv(open(f, encoding = 'UTF-8'), sep='\t')
Note that the file I'm using is tab delimited. less or a text editor should be able to read .xls so that you can sniff out the delimiter.
I did not have a lot of luck with xlrd because of – I think – UTF-8 issues.