![]() Import pandas as pd import numpy as np # Sample DataFrameĭf = pd. In that case you should be able to easily adopt this snippet by replacing engine='xlsxwriter' with engine='openpyxl' and changing the book/sheet syntax so it works with OpenPyXL: If you want to do something slightly more sophisticated than just dumping a DataFrame into an Excel spreadsheet, I found that Pandas and XlsxWriter is the easiest combination, but others may prefer OpenPyXL. Accordingly, Pandas will be used in all sections of this blog post, but we’ll start by leveraging the built-in capabilities that Pandas offers for reports in Excel and HTML format. Once you have the raw data in a DataFrame, it only requires a few lines of code to clean the data and slice & dice it into a digestible form for reporting. It’s incredibly easy to create Pandas DataFrames with data from databases, Excel and csv files or json responses from a web API. I am probably not exaggerating when I claim that almost all reporting in Python starts with Pandas. It’s very fast and powerful but comes with a steep learning curve. ReportLab creates direct PDF files without going through HTML or Excel first. It also offers a hosted solution so end users can change the input parameters that are used to create these reports. Like Pandas + HTML, it requires good HTML + CSS skills to make it look the way you want.ĭatapane allows you to create HTML reports with interactive elements. If formatted properly, it can be used as a source for PDFs, too. The Excel file can be exported to PDF.ĭash allows you to easily spin up a great looking web dashboard that is interactive without having to write any JavaScript code. It requires, however, an installation of Excel so it’s a good option when the report can be generated on a desktop, e.g. Xlwings allows the use of an Excel template so the formatting can be done by users without coding skills. it’s an ideal candidate for a “download to Excel” button in a web app. It can be run on a server where Excel is not installed, i.e. This is a great option if the report has to be in Excel. The HTML report can also be turned into a PDF for printing. You can generate beautiful reports in the form of static web pages if you know your way around HTML + CSS. Table of Contentsīefore we begin, here is a high level comparison of the libraries presented in this post: Library After reading this blog post, you should be able to pick the right library for your next reporting project according to your needs and skill set. There is a wealth of techniques and libraries available and we’re going to introduce five popular options here. Python is a popular tool for all kind of automation needs and therefore a great candidate for your reporting tasks. ![]()
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