How to extract sheet from *.xlsm and save it as *.csv in Python?

Question

I have a *.xlsm file which has 20 sheets in it. I want to save few sheets as *.csv (formatting loss is fine) individually. Already tried xlrd-xlwt and win32com libraries b

Answer 1

xlrd should work fine on xlsm files as well. I tested the code with a random xlsm file, and it worked perfectly.

import csv
import xlrd

workbook = xlrd.open_workbook('test.xlsx')
for sheet in workbook.sheets():
    with open('{}.csv'.format(sheet.name), 'wb') as f:
        writer = csv.writer(f)
        writer.writerows(sheet.row_values(row) for row in range(sheet.nrows))

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If you've encoding issues, try the code below:

import csv
import xlrd

workbook = xlrd.open_workbook('test.xlsm')
for sheet in workbook.sheets():
    if sheet.name == "Sheet_name_from_xlsm_file":
        with open('{}.csv'.format(sheet.name), 'wb') as f:
            writer = csv.writer(f)
            for row in range(sheet.nrows):
                out = []
                for cell in sheet.row_values(row):
                    try:
                        out.append(cell.encode('utf8'))
                    except:
                        out.append(cell)
                writer.writerow(out)

Answer 2

import pandas as pd

# YOU MUST PUT sheet_name=None 
df = pd.read_excel('YourFile.xlsm', sheet_name=None)

# prints all sheets
print(df)

Answer 3

You can do this easily with pandas

1. Install pandas and xlrd dependencies by following

   • pip3 install pandas
   • pip3 install xlrd (required by pandas)

2. Now simply read xlsm file using read_excel. Here is a demo:-

import pandas as pd

# YOU MUST PUT sheet_name=None TO READ ALL CSV FILES IN YOUR XLSM FILE
df = pd.read_excel('YourFile.xlsm', sheet_name=None)

# prints all sheets
print(df)

# prints all sheets name in an ordered dictionary
print(df.keys())

# prints first sheet name or any sheet if you know it's index
first_sheet_name = list(df.keys())[0]
print(first_sheet_name)

# prints first sheet or any sheet if know it's name
print(df[first_sheet_name])

# export first sheet to file
df[first_sheet_name].to_csv('FirstSheet.csv')

# export all sheets 
for sheet_name in list(df.keys()):
   df[sheet_name].to_csv(sheet_name + 'Sheet.csv')


# USE IT IN MULTIPLE WAYS #