We are in the transition at work from python 2.7 to python 3.5. It's a company wide change and most of our current scripts were written in 2.7 and no additional libraries. I've taken advantage of the Anaconda distro we are using and have already change most of our scripts over using the 2to3 module or completely rewriting them. I am stuck on one piece of code though, which I did not write and the original author is not here. He also did not supply comments so I can only guess at the whole of the script. 95% of the script works correctly until the end where after it creates 7 csv files with different parsed information it has a custom function to combine the csv files into and xls workbook with each csv as new tab.
import csv
import xlwt
import glob
import openpyxl
from openpyxl import Workbook
Parsefiles = glob.glob(directory + '/' + "Parsed*.csv")
def xlsmaker():
for f in Parsefiles:
(path, name) = os.path.split(f)
(chort_name, extension) = os.path.splittext(name)
ws = wb.add_sheet(short_name)
xreader = csv.reader(open(f, 'rb'))
newdata = [line for line in xreader]
for rowx, row in enumerate(newdata)
for colx, value in enumerate(row):
if value.isdigit():
ws.write(rowx, colx, value)
xlsmaker()
for f in Parsefiles:
os.remove(f)
wb.save(directory + '/' + "Finished" + '' + oshort + '' + timestr + ".xls")
This was written all in python 2.7 and still works correctly if I run it in python 2.7. The issue is that it throws an error when running in python 3.5.
File "parsetool.py", line 521, in (module)
xlsmaker()
File "parsetool.py", line 511, in xlsmaker
ws = wb.add_sheet(short_name)
File "c:\pythonscripts\workbook.py", line 168 in add_sheet
raise TypeError("The paramete you have given is not of the type '%s'"% self._worksheet_class.__name__)
TypeError: The parameter you have given is not of the type "Worksheet"
Any ideas about what should be done to fix the above error? Iv'e tried multiple rewrites, but I get similar errors or new errors. I'm considering just figuring our a whole new method to create the xls, possibly pandas instead.
Not sure why it errs. It is worth the effort to rewrite the code and use pandas instead. Pandas can read each csv file into a separate dataframe and save all dataframes as a separate sheet in an xls(x) file. This can be done by using the ExcelWriter of pandas. E.g.
import pandas as pd
writer = pd.ExcelWriter('yourfile.xlsx', engine='xlsxwriter')
df = pd.read_csv('originalfile.csv')
df.to_excel(writer, sheet_name='sheetname')
writer.save()
Since you have multiple csv files, you would probably want to read all csv files and store them as a df in a dict. Then write each df to Excel with a new sheet name.
Multi-csv Example:
import pandas as pd
import sys
import os
writer = pd.ExcelWriter('default.xlsx') # Arbitrary output name
for csvfilename in sys.argv[1:]:
df = pd.read_csv(csvfilename)
df.to_excel(writer,sheet_name=os.path.splitext(csvfilename)[0])
writer.save()
(Note that it may be necessary to pip install openpyxl
to resolve errors with xlsxwriter
import missing.)
You can use the code below, to read multiple .csv files into one big .xlsx Excel file.
I also added the code for replacing ','
by '.'
(or vice versa) for improved compatibility on windows environments and according to your locale settings.
import pandas as pd
import sys
import os
import glob
from pathlib import Path
extension = 'csv'
all_filenames = [i for i in glob.glob('*.{}'.format(extension))]
writer = pd.ExcelWriter('fc15.xlsx') # Arbitrary output name
for csvfilename in all_filenames:
txt = Path(csvfilename).read_text()
txt = txt.replace(',', '.')
text_file = open(csvfilename, "w")
text_file.write(txt)
text_file.close()
print("Loading "+ csvfilename)
df= pd.read_csv(csvfilename,sep=';', encoding='utf-8')
df.to_excel(writer,sheet_name=os.path.splitext(csvfilename)[0])
print("done")
writer.save()
print("task completed")
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With