I am trying to add data to an existing excel file, the problem I am facing is that the data is getting imported but the equation and the format is being deleted in original file.
I attached my code below
import xlwt
import xlrd
from xlutils.copy import copy
#open the excel file
rb=xlrd.open_workbook('Voltage_T.xlsx')
#make a writable copy of the opened excel file
wb=copy(rb)
#read the first sheet to write to within the writable copy
w_sheet=wb.get_sheet(0)
#write or modify the value at 2nd row first column
w_sheet.write(0,1,'WWW.GOOGLE.COM')
#the last step saving the work book
wb.save('Voltage_WW.xls')
You need to set formatting_info to true
rb=xlrd.open_workbook('Voltage_T.xlsx', formatting_info = True)
However xlrd doesn't support xlsx with formatting_info at the moment. So if you really have to use .xlsx you will need another library.
I didn't used it myself so I can't tell you if it's a good library but thanks to a quick search on google XlsxWriter seems to answer your needs.
Related
I've searched through some old answers about my problem, but couldn't find an answer.
The problem: I want to open an existing Excel file, than write a new-line with a list and than save the current Excel-File.
My current code is:
import pandas
import pandas as pd
l_bsp = range(1,13)
df = pd.read_excel("Existing_file.xlsx")
df.loc[df.shape[0]+1] = l_bsp
print(df)
Right now it only changes my Dataframe without changing the Excel File. How to I add the list into the existing excel file?
Thank you.
Your code only read the Excel file without writing it back. You can use command such as df.to_excel(). For better understanding of the writing process, suggest you also take a look at the pandas user guide on Writing Excel files
I have a .xlsm file as a reference template. I want to update the values of this .xlsm file using python from a .csv file.
template .xlsm ----> Update values using .csv
What has not worked :
I tried using pandas.to_excel method. but the .xlsm file gets corrupted after I write to sheet.
Could someone please point me in the right direction ?
openpyxl supports xlsm file.
from openpyxl import load_workbook
wb2 = load_workbook('test.xlsm', keep_vba=True)
update(wb2, csvfile.csv) # this is where you need to work according to your need.
wb.save('new_document.xlsm')
wb.close()
https://openpyxl.readthedocs.io/en/default/tutorial.html
Maybe to try xlwings, using it something like this?
def update(workbook, csv_file):
ws = workbook.sheets[2]
ws.range('B14').value = 155
from xlwings import Book
wb = Book(r'test.xlsm')
update(wb, csv_file)
wb.save('test1.xlsm')
wb.close()
This is the best tool to update xlsm files since it uses WindowsAPI and macros are triggered in case something is changed. This means, it won't work on Linux.
Of course, update function must do something more meaningful than changing the B14 cell in the 3rd sheet.
For more info, please read http://docs.xlwings.org/en/stable/quickstart.html
I am trying to format an excel document within python that I am creating in the same script. All of the answers I have found have involved loading an existing workbook into python and formatting from there. In my script, I am currently writing the entire unformatted excel sheet, saving the file, then immediately reloading the document in to python to format. This is the only workaround I can find so that I can have an active sheet.
writer=pd.ExcelWriter(file_name, engine='openpyxl')
writer.save()#saving my file
wb=load_workbook(file_name) #reloading file to format
ws=wb.active
ws.column_dimensions['A'].width=33
ws.column_dimensions['B'].width=16
wb.save(file_name)
This works to change aspects such as column width, but I would like a way to format the page without saving and reloading. Is there a way to get around the need for an active sheet when there is no file_name written yet? I want a way to remove line 2 and 3, however that may be.
The object that Pandas is creating in ExcelWriter depends on the "engine" you give it. In this case, you're passing along "openpyxl", so ExcelWriter is making an openpyxl.Workbook() object. You can create a new Workbook in openpyxl using "Workbook()" Like so:
https://openpyxl.readthedocs.io/en/default/tutorial.html#create-a-workbook
It is created with 1 active sheet. Basically:
import openpyxl
wb = openpyxl.Workbook()
ws=wb.active
ws.column_dimensions['A'].width=33
ws.column_dimensions['B'].width=16
wb.save(file_name)
...would do the job
Your title is misleading: you're working in Pandas and dumping to Excel. Pandas does allow some formatting for this but, because it tries to support different Python libraries (openpyxl, xlsxwriter and xlwt) there are restrictions on this.
For full control openpyxl provides support for Pandas' DataFrame objects: http://openpyxl.readthedocs.io/en/latest/pandas.html
I am having problems appending issues appending data to an xls file.
Long story short, I am using a program to get some data from something and writing it in an xls file.
If I run the script 10 times, I would like the results to be appended to the same xls file.
My problem is that I am forced to use Python 3.4 and xlutils is not supported, so I cannot use the copy function.
I just have to use xlwt / xlrd. Note, the file cannot be a xlsx.
Is there any way i can do this?
I would look into using openpyxl, which is supported by Python 3.4. An example of appending to a file can be found https://openpyxl.readthedocs.org/en/default/. Please also see: How to append to an existing excel sheet with XLWT in Python. Here is an example that will do it. Assuming you have an Excel sheet called sample.xlsx:
from openpyxl import Workbook, load_workbook
# grab the active worksheet
wb = load_workbook("sample.xlsx")
ws = wb.active
ws.append([3])
# Save the file
wb.save("sample.xlsx")
I'm doing some testing using python-excel modules. I can't seem to find a way to delete a row in an excel sheet using these modules and the internet hasn't offered up a solution. Is there a way to delete a row using one of the python-excel modules?
In my case, I want to open an excel sheet, read the first row, determine if it contains some valid data, if not, then delete it.
Any suggestions are welcome.
xlwt provides as the module name suggests Excel writer (creation rather than modification) funcionality.
xlrd on the other hand provides Excel reader funcionality.
If your source excel file is rather simple (no fancy graphs, pivot tables, etc.), you should proceed this way:
with xlrd module read the contents of the targeted excel file, and then with xlwt module create new excel file which contains the necessary rows.
If you, however are running this on windows platform , you might be able to manipulate Excel directly through Microsoft COM objects, see old book reference.
I was having the same issue but found a walk around:
Use a custom filter process (Reader>Filter1>Filter2>...>Writer) to generate a copy of the source excel file but with a blank column inserted at the front. Let's call this file augmented.xls.
Then, read augmented.xls into a xlrd.Workbook object, rb, using xlrd.open_workbook().
Use xlutils.copy.copy() to convert rb into a xlwt.Workbook object, wb.
Set the value of the first column of each of the to-be-deleted rows as "x" (or other values as a marker) in wb.
Save wb back to augmented.xls.
Use another custom filter process to generate a resulting excel file from augmented.xls by omitting those rows with "x" in the first column and shifting all columns one column left (equivalent to deleting the first column of markers).
Information and examples of defining a filter process can be found in http://www.simplistix.co.uk/presentations/python-excel.pdf
Hope this help in some way.
You can use the library openpyxl. When opening a file it is both for reading and for writing. Then, with a simple function you can achieve that:
from openpyxl import load_workbook
wb = load_workbook(filename)
ws = wb.active()
first_row = ws[1]
# Your code here using first_row
if first_row not valid:
ws.delete_rows(1, amount=1)