AvoPlot - graphical plotting tool based on matplotlib

Built on top of Python's excellent matplotlib plotting library, AvoPlot is a graphical plotting tool designed for visualising and analysing scientific data. In addition to providing a user-friendly interface to many of the capabilities of matplotlib, it also provides a plug-in framework, allowing users to easily extend its standard feature set to meet their specific requirements. Plug-ins can be written both to import different data sets (e.g. binary data), and to provide analysis tools for working with them (e.g. fitting routines, background subtraction etc.). Full documentation and examples can be found in the source distribution (the .tar.gz files), or on the project home page (see links below). Latest Version: 14.01 This version features a much improved installer, which fixes the installation issues that some users experienced with the 13.11 release. There is also a 64bit installer available for Windows for this release. More plot editing features have been added including tick label and gridline editing. Behind the scenes, there have been many performance improvements. This release also includes a *very* limited and highly experimental scripting interface (which mimics matplotlib's pylab interface). See the project home page (linked below) for details.依托Python出色的matplotlib绘图库构建，AvoPlot是一款专为科学数据可视化与分析打造的图形化绘图工具。该工具不仅为用户提供了直观友好的界面以调用matplotlib的诸多功能，还内置插件框架，允许用户轻松拓展其标准功能集以适配自身特定需求。 插件既可用于导入各类数据集（如二进制数据），也可用于开发配套的数据分析工具（如拟合程序、背景扣除算法等）。 完整文档与示例可在源代码分发包（即.tar.gz格式文件）中获取，或通过项目主页查阅（相关链接见下文）。 最新版本：14.01。该版本搭载了大幅优化的安装程序，修复了部分用户在13.11版本中遇到的安装问题。本次更新还为Windows平台提供了64位安装程序。新增了多项绘图编辑功能，包括刻度标签与网格线编辑。后台层面亦完成了多项性能优化。本次发布还包含一个极为有限且处于高度实验阶段的脚本接口（该接口模仿了matplotlib的pylab接口）。详细信息请参阅项目主页（链接见下文）。