File APIs for Word/Excel/PowerPoint/PDF

  In data processing and office automation scenarios, we frequently handle Excel files exported from databases, filled out by users, or generated by third-party systems. These files often contain significant amounts of "dirty data," with   blank rows   and   blank columns   being the most common issues. These invalid entries not only detract from the visual appeal of reports but can also severely disrupt subsequent data analysis, statistical formula calculations, and the accuracy of system imports. Manually filtering and deleting thousands of rows in Excel is both time-consuming and prone to errors. This article demonstrates how to automatically detect and delete blank rows and columns in Excel using  Java code . Environment Setup Before writing code, ensure that the  Spire.XLS for Java  dependency is included in your project. If you are using a  Maven  project, add the following repository and dependency to your  pom.xml : <repo...

  In data processing and report generation, Excel is one of the most ubiquitous tools. While gridlines serve as helpful background guides for aligning data during editing, they often appear redundant or visually distracting in final presentations or printed documents. Sometimes, we need to completely hide gridlines to achieve a cleaner interface. Other times, for specific visual styles, we might even want to change the gridline color. While the Excel desktop application allows you to do this manually, using Python to automate these tasks across hundreds of files is the most efficient solution for modern workflows. This article demonstrates how to use the  Spire.XLS for Python  library to  hide/show  Excel gridlines and  customize their colors  with simple code. We will provide two complete, practical examples to help you master this skill quickly. Prerequisites Before getting started, you need to install the  Spire.XLS  library. This is a pow...