Working with Python is a bliss in itself, most of the times. I have been involved with Python for more than two and a half years now, and for most of that time I hardly had any issues until I had to work with spreadsheets. Python has easy to write syntax and dynamic style, which is why it is a great language for beginners to start with. But the benefits do not end there. Python can, and is used in many big products, such as the framework . Django . Other examples are BitTorrent, Google App Engine, and Ubuntu Software Center. Even the core functionality of YouTube is written in Python. Django powers social media apps such as Instagram All these examples testify to the robustness and usefulness of Python. Being a great scripting language, developers prefer to use Python in scenarios where they have to play with and manipulate data. In my experience of working in a product based company, I have come across projects that require the data collected from products to be reported back to the clients. This requires fetching data from the database and manipulating it into a presentable form, which is generally in a spreadsheet format. Having some experience with Python, I decided to apply this to making spreadsheets. These are tips for those who work with an abundance of data and want to harness that using spreadsheets. I have come across a multitude of issues as a developer and would like to share some of those here, and how you can work your way around them. There are many third-party packages available to work with spreadsheets using Python. Some of them are listed at: _A website for people who need to work with Excel files in Python_www.python-excel.org Python Excel You may know that Microsoft Excel provides two file extensions for spreadsheets, one is and other being . The former corresponds to files for Microsoft Excel 2003 or earlier, and the latter is for the newer versions. .xls .xlsx The first problem that arises in working with spreadsheets using Python is because of these two different extensions. The package supports the extension of Excel, and supports the extensions of Excel. xlwt .xls openpyxl .xlsx I will be demonstrating how to use the package for working with spreadsheets. You can install this package using the following command on terminal or command prompt (Prerequisite: must be installed on your system. For installation instructions of , visit ) xlwt pip pip this link pip install xlwt Note: This article uses xlwt==1.3.0 After the installation is complete, open a text editor to create a new file and give it any name you like; I am giving it the name . excelScript.py Inside the script, write the following code: import xlwt def main():book = xlwt.Workbook()sheet = book.add_sheet('Sheet 1')book.save('Sample.xls') if __name__ == '__main__':main() The code above creates a blank Excel file with the name , containing a single sheet named This was an example of simple file creation. You can run the script above using “Sample.xls” “Sheet 1". .xls python excelScript.py in your command line. To write data to the Excel sheet, change the code to the following: import xlwt def main():book= xlwt.Workbook()sheet = book.add_sheet('Sheet 1') # sheet.write(r, c, <text>) sheet.write(0, 0, 'sample') book.save('Sample.xls') if __name__ == '__main__':main() This will write on row and column. Keep in mind that the package This way you can write into your Excel file and create as many sheets you like. Run this script using the command “sample” zeroth zeroth xlwt reads row and column indices starting at zero. python excelScript.py in your command line. This is a common way to write to Excel using the package where you can merge the columns or rows. You can give it styling also. The following code demonstrates how to do so: xlwt import xlwt def main():book= xlwt.Workbook()sheet = book.add_sheet('Sheet 1') # sheet.write\_merge(r1, r2, c1, c2, <text>) # For styling add # xlwt.easyxf('align: horz center, vert center') # add the above after <text> as 6th argument to write\_merge sheet.write\_merge(0, 1, 0, 1, 'sample 1', xlwt.easyxf('align: horz center, vert center')) book.save('Sample.xls') if __name__ == '__main__':main() This will merge columns (0, 1) and rows (0, 1) to make a single column and write into it which will be both horizontally and vertically center aligned. does the styling for you. If you open the file, you will see that the previously written sample is gone. “sample 1” xlwt.easyxf xls For information on more methods provided by you can read the documentation . xlwt here Please note that if you use _xlwt_ and if a file with the same name exists then it will be replaced. The procedure above is good if you want to create a new file, and if you are working with an older format of the Microsoft Excel spreadsheet. .xls However, this package has its limitations as you can only create rows and columns in the older versions of Excel. Similarly, you can write only these many rows and columns using this package. If you have more data to write than this, then unfortunately this package cannot help you. You will have to use another Python package called . 65536 256 openpyxl _Edit description_openpyxl.readthedocs.io openpyxl - A Python library to read/write Excel 2010 xlsx/xlsm files - openpyxl 2.4.2 documentation You can read more about how to use to work with Excel files in of this article. openpyxl part 2 Continuing with the package, I found that it is very easy to create new files. But what if you already have an existing file and want to append new data to the existing file. In such a case the package does not comply. Instead, you have to work around this. Note that if you have a file then you cannot use , which does support data appending into already existing files, because that is incompatible with older versions of Excel files. xlwt .xls .xls xlwt .xls openpyxl For the fix I am going to explain, you need two more Python packages. Namely, the package for reading the Excel file, and the package to make a copy of the Excel object into the object so that you can write into it. xlrd xlutils xlwt To install these packages use the following commands: pip install xlrdpip install xlutils The following procedure can be applied to append data to an existing file using . In the file, change the code to the following: .xls xlwt excelScript.py from xlutils.copy import copyimport xlrdimport xlwt def main():rb = xlrd.open_workbook('sample.xls') wb = copy(rb) sheet = wb.get\_sheet(0) sheet.write(5, 5, 'sample 2') sheet.write\_merge(3, 4, 3, 4, 'sample 3', xlwt.easyxf('align: horse center, vert center')) wb.save('sample.xls') if __name__ == '__main__';main() When you run this script using the python excelScript.py command, and open the Excel file created, you will notice that was written to previously present there and and also added to that file. Voila! This is the functionality we needed. But how did we achieve this? “sample 1” .xls “sample 2” “sample 3” were Here is what happened. First you read using the package and saved it into a variable in an object format. Then you copied that object into a variable using the method of package. This means that at that moment, both variables & contain the same object data. Now, we access the first sheet of Excel using the index and store its object data into variable , and now you can use all the functional capabilities of the package to finally save your Excel sheet with the same name as before, “sample.xls” xlrd rb wb copy xlutils rb wb zero sheet xlwt “sample.xls”. If you have carefully followed then you may have figured out that we really didn’t append data to an existing file. Instead what we did was to copy the data of the existing file into memory using , then writing it to a new Excel file using the method of package, and then writing the new data into that new Excel file, while saving it with same name as before so that it can be overwritten. xlrd copy xlutils I am afraid there isn’t a more elegant way to achieve this if you are working with older files. .xls The story doesn’t end here. This was all about working with files but what if you wanted to do the same thing but this time you have got files to work with. In such a case, you are in luck because you can work with . You can read more about it in of this article. .xls .xlsx openpyxl part 2 Hope you found this useful! See you in . part 2 Thanks for reading! If you enjoyed reading this and would like to read some pieces of life through my eyes, please visit . here
