I am trying to take a varying number of csv files and copy them into an existing excel workbook as new sheets for each csv file. The issue is that I am copying them into a template that already has 2 sheets. With my current code, those template sheets are overwritten. I have seen many questions around similar issues and have not found one that will add csv files to an existing workbook without overwriting the current sheets. Here is what I have been using:
import os
import glob
import csv
from xlsxwriter.workbook import Workbook
workbook = Workbook('Summary_Template.xlsx')
for csvfile in glob.glob(os.path.join('.', '*.csv')):
csvfile = os.path.basename(csvfile)
worksheet = Workbook.add_worksheet(workbook) #wroskeet with csv file name
with open(csvfile, 'rb') as f:
reader = csv.reader(f)
for r, row in enumerate(reader):
for c, col in enumerate(row):
worksheet.write(r, c, col) #write the csv file content into it
workbook.close()
I tried a similar version using the xlwt module but one my csv files has more than 65535 lines which causes an error with this module. Aside from that I do not care what modules are used, I just need to append the csv files to my template without overwriting existing sheets.
Since I have successfully put all the csv files into a .xls workbook, I would settle for a way to merge two workbooks. Any help would be greatly appreciated.
Related
I have some code that carries out this task for .csv (thanks to Michal K for assistance).
Any ideas on how I could change this to work on a directory of .xls files rather than .csv files?
import csv
import os
for file_name in os.listdir("c:/projects/files"):
with open(file_name,'r') as csvinput:
reader = csv.reader(csvinput)
all = []
row = next(reader)
row.append('FileName')
all.append(row)
for row in reader:
row.append(file_name)
all.append(row)
with open(file_name, 'w') as csvoutput:
writer = csv.writer(csvoutput, lineterminator='\n')
writer.writerows(all)
Excel spreadsheets are slightly more complicated than CSV files, so I'd recommend using an imported module such as openpyxl.
This allows you to get the worksheets (tabs) from the file, and manipulate the columns and rows as you see fit.
The general program structure would look something like this:
for file_name in os.listdir("c:/projects/files"):
if file_name.endswith('.xls'):
workbook = openpyxl.load_workbook(file_name)
# Get worksheets
# Manipulate columns and rows
workbook.save(file_name)
There's a really good tutorial on using openpyxl here
for reading and writing excel and csv files, pandas is very convenient
import pandas as pd
csv
csv_data = pd.read_csv(csv_filename, header=0) # you can define the exact csv format with further arguments
csv_data['filename'] = csv_filename #adds a column with the filename
excel
excel_data = pd.read_excel(excel_filename)
excel_data['filename'] = excel_filename
export
csv_data.to_csv(output_csv)
excel_data.to_excel(output_excel)
You can also export the csv to excel or vice versa
excel_data.to_csv(output_excel_csv)
csv_data.to_excel(output_csv_excel)
I have downloaded few sales dataset from a SAP application. SAP has automatically converted the data to .XLS file. Whenever I open it using Pandas library I am getting the following error:
XLRDError: Unsupported format, or corrupt file: Expected BOF record; found '\xff\xfe\r\x00\n\x00\r\x00'
When I opened the .XLS file using MSEXCEL it is shows a popup saying that the file is corrupt or unsupported extension do you want to continue when I clicked 'Yes' its showing the correct data. When I saved the file again as .xls using msexcel I am able to use it using Pandas.
So, I tried renaming the file using os.rename() but it dint work. I tried opening the file and removing \xff\xfe\r\x00\n\x00\r\x00, but then also it dint work.
The solution is to open MSEXCEL and save the file again as .xls manually, is there any way to automate this. Kindly help.
Finally I converted the corrupt .xls to a correct .xls file. The following is the code:
# Changing the data types of all strings in the module at once
from __future__ import unicode_literals
# Used to save the file as excel workbook
# Need to install this library
from xlwt import Workbook
# Used to open to corrupt excel file
import io
filename = r'SALEJAN17.xls'
# Opening the file using 'utf-16' encoding
file1 = io.open(filename, "r", encoding="utf-16")
data = file1.readlines()
# Creating a workbook object
xldoc = Workbook()
# Adding a sheet to the workbook object
sheet = xldoc.add_sheet("Sheet1", cell_overwrite_ok=True)
# Iterating and saving the data to sheet
for i, row in enumerate(data):
# Two things are done here
# Removeing the '\n' which comes while reading the file using io.open
# Getting the values after splitting using '\t'
for j, val in enumerate(row.replace('\n', '').split('\t')):
sheet.write(i, j, val)
# Saving the file as an excel file
xldoc.save('myexcel.xls')
import pandas as pd
df = pd.ExcelFile('myexcel.xls').parse('Sheet1')
No errors.
The other way to solve this problem is using win32com.client library:
import win32com.client
import os
o = win32com.client.Dispatch("Excel.Application")
o.Visible = False
filename = os.getcwd() + '/' + 'SALEJAN17.xls'
output = os.getcwd() + '/' + 'myexcel.xlsx'
wb = o.Workbooks.Open(filename)
wb.ActiveSheet.SaveAs(output,51)
In my example you save to .xlsx format but you can save as .xls as well.
I'm trying to write a script in Python 2.7 that would convert all .xls and .xlsx files in the current directory into .csv with preserving their original file names.
With help from other similar questions here (sadly, not sure who to credit for the pieces of code I borrowed), here's what I've got so far:
import xlrd
import csv
import os
def csv_from_excel(xlfile):
wb = xlrd.open_workbook(xlfile)
sh = wb.sheet_by_index(0)
your_csv_file = open(os.path.splitext(sxlfile)[0], 'wb')
wr = csv.writer(your_csv_file, dialect='excel', quoting=csv.QUOTE_ALL)
for rownum in xrange(sh.nrows):
wr.writerow(sh.row_values(rownum))
your_csv_file.close()
for file in os.listdir(os.getcwd()):
if file.lower().endswith(('.xls','.xlsx')):
csv_from_excel(file)
I have two questions:
1) I can't figure out why the program when run, only converts one file and doesn't iterate through all files in the current directory.
2) I can't figure out how to keep the original filename through the conversion. I.e. that an output file has the same name as an input.
Thank you
One possible solution would be using glob and pandas.
excel_files = glob('*xls*')
for excel in excel_files:
out = excel.split('.')[0]+'.csv'
df = pd.read_excel(excel, 'Sheet1')
df.to_csv(out)
I have excel sheet with Ids such as je2456,je2645,je2893,....
I would like to save it in a list in python.
But its throwing errors while importing like
'No such file or directory exists.'
Make sure that the file you are reading from is in the same folder.
import csv
def csv_reader(input_file_name):
with open(input_file_name, newline='') as csvfile:
return list(csv.reader(csvfile))
Now the call the function and save the output:
# Make sure to add the extension for the file name, whatever it may be.
my_data_list = csv_reader("Your_Input_File_Here.csv")
Now your my_data_list is a list containing all the rows from the CSV file.
So basically I got an xlsm document, it contains a sheet "data" and a graph, the graph is generated from data.
I have 5 CSV files.
I need to erase the content of data, then fill it with the 5 CSV files.
Is it possible to do without putting my csv file in an array and writing them line per line (very time consuming).
Can I just open my CSV files and sort of paste them into the data sheet?
Thanks
You can just open CSV files in Excel, and you can join your CSV files into one larger one with
my_files = ['file_1.csv', 'file_2.csv', 'file_3.csv', 'file_4.csv', 'file_5.csv']
with open('output.csv', 'w') as oo:
for file in my_files:
with open(file, 'r') as io:
oo.write(io.readlines())
you can then open output.csv in excel.
If you don't want to manually list all your input files, you could use glob
>>> my_files = glob.glob('file_*.csv')
>>> my_files
... ['file_1.csv', 'file_2.csv', 'file_3.csv', 'file_4.csv', 'file_5.csv']
There is even an Excel read / write python module here. You could use it to write directly to an Excel file:
import xlwt
w = xlwt.Workbook()
ws = w.add_sheet('First sheet')
i = 0
for file in my_files:
with open(file, 'r') as fo:
for line in fo.readlines():
for j, col in enumerate(line.split(',')):
ws.write(i, j, col)
i += 1