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Matplotlib to editable SVG and Visio (VSDX) export toolkit

Project description

Visioplot

Visioplot 是一个面向科研绘图和工程汇报场景的 Python 工具库,目标是让 Matplotlib 图在 Visio、Word 或 PPT 中更好呈现。

它提供两层能力:

  • 绘图输出层:把 Matplotlib 输出的 SVG 图修改为更适合 MS Office 编辑的 SVG。
  • 办公流转层:在 Windows + Visio 环境下将 SVG 转为 VSDX 或复制到剪贴板。

功能概览

  • 将 Matplotlib 图导出为更适合 MS Office 的 SVG。
  • 支持将 SVG 进一步导出为 VSDX,或直接复制到剪贴板。
  • 支持类 LaTeX 文本解析:上下标、粗体、斜体、粗斜体。
  • 提供统一样式入口,适配论文和工程汇报常见图表需求。

适用场景

  • 在 Python 中完成绘图后,需要在 Visio / PPT 中继续精修图形。
  • 需要把超出坐标轴范围的曲线做可编辑线段化处理。
  • 需要在 Visio 中保留部分文本样式,例如上下标、粗斜体。

环境要求

  • Python 3.10 及以上。
  • 主要依赖:matplotlib、beautifulsoup4、lxml、numpy。
  • Visio 导出功能需要:Windows + Microsoft Visio + pywin32。

快速开始

1) 统一绘图样式

import visioplot as vp

vp.apply_style()

2) 普通 plt 流程导出 SVG

import matplotlib.pyplot as plt
import mpl_toolkits.axisartist as AA
import visioplot as vp

vp.apply_style()
plt.figure(figsize=vp.cm(9, 6.75))
plt.axes(axes_class=AA.Axes)
plt.plot([1, 2, 3], [3, 5, 4], label="inax", marker="s")
plt.plot([1, 2, 3], [5, 15, 3], gid="out", label="outax", linestyle="--", marker="o")
plt.legend()

vp.savefig("demo.svg")

3) Figure 对象导出 SVG

import matplotlib.pyplot as plt
import mpl_toolkits.axisartist as AA
import visioplot as vp

vp.apply_style()

fig = plt.figure()
ax = fig.add_subplot(axes_class=AA.Axes)
ax.plot([1, 2, 3], [3, 2, 4], label="inax")
ax.plot([1, 2, 3], [5, 15, 3], gid="out", label="outax")
ax.legend()

vp.Fig(fig).savefig("demo_fig.svg")

4) 导出到 Visio(VSDX / 剪贴板)

import matplotlib.pyplot as plt
import visioplot as vp

vp.apply_style()

plt.plot([1, 2, 3], [3, 5, 4], label="inax", marker="s")
plt.plot([1, 2, 3], [5, 15, 3], gid="out", label="outax", linestyle="--", marker="o")
plt.legend()
plt.tight_layout()
exporter = vp.savefig("demo.svg", bbox_inches="tight", pad_inches=0)
exporter.tovsd()   # 保存为 demo.vsdx
exporter.toclip()  # 导出并复制到剪贴板

调试输出

库默认关闭 debug 输出。需要查看解析/导出调试信息时:

import visioplot as vp

vp.set_debug(True)
# ... run your code
vp.set_debug(False)

main.py 示例

仓库根目录的 main.py 提供 4 个完整示例,覆盖:

  1. axisartist + SVG 导出
  2. Fig(fig) + SVG 导出
  3. 公式文本样式 + Visio 剪贴板导出
  4. 复杂文本组合 + Visio 剪贴板导出

直接运行:

python main.py

当前示例输出文件:

  • example1_axisartist.svg
  • example2_fig.svg
  • example3_formula_text.svg
  • example4_parser.svg

API 概览

包级导出(visioplot)

  • apply_style(style=None, inline_svg=True)
  • reset_style()
  • cm(*args)
  • set_debug(enabled=True)
  • savefig(path, **kwargs) -> VisioExporter
  • Fig(fig).savefig(path, **kwargs) -> VisioExporter

VisioExporter

  • tovsd(vsdx_path=None, clipboard=False)
  • toclip(vsdx_path=None, clipboard=True)
  • exit()

文本语法(简版)

  • 斜体:*text*
  • 粗体:**text**
  • 粗斜体:***text***
  • 下标:x_2、x_{abc}
  • 上标:x^2、x^{abc}
  • 下标斜体:c_*x*

常见问题

Q1: tovsd() 或 toclip() 报错

请检查:

  • 是否在 Windows 上运行
  • 是否安装了 Microsoft Visio

Q2: 我只想要 SVG,不需要 Visio

只调用 vp.savefig("xxx.svg") 即可,不要调用 tovsd()/toclip()。

Q3: 为什么有些字符字体在 Visio 里会变化

Visio 对不同字符会做字体回退。当前代码已对部分希腊字符做专门处理,但具体效果仍取决于本机字体与 Visio 字体映射。

License

MIT

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