# test_cubicSpline

**Repository Path**: misc_projects/test_cubic-spline

## Basic Information

- **Project Name**: test_cubicSpline
- **Description**: 测试使用三次样条曲线拟合离散点，并使用matplot-cpp绘制曲线。
- **Primary Language**: C++
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-11-07
- **Last Updated**: 2024-11-07

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# README #

测试使用三次样条曲线拟合离散点，并使用`matplot-cpp`绘制曲线。

由于`matplot-cpp`只有头文件，其实现依赖调用`Python` DLL -> `Python` 脚本。故直接将`matplot-cpp`头文件拷贝到项目目录下，并使用该头文件。

## 1. matplot-cpp 修改 ##

注释掉如下代码:

```c++
// Sanity checks; comment them out or change the numpy type below if you're
// compiling on a platform where they don't apply
static_assert(sizeof(long long) == 8);
template <> struct select_npy_type<long long> {
  const static NPY_TYPES type = NPY_INT64;
};
static_assert(sizeof(unsigned long long) == 8);
template <> struct select_npy_type<unsigned long long> {
  const static NPY_TYPES type = NPY_UINT64;
};
// TODO: add int, long, etc.
```

## 2. Python 环境安装及配置 ##

安装依赖的`python`三方库:

```bash
pip install numpy scipy matplotlib
```

添加项目编译需要的`python`及依赖库的头文件及库文件:

```cmake
# include dirs
target_include_directories(${target_name} PRIVATE "D:/dev_libs/Python/Python312/Lib/site-packages/numpy/core/include")
target_include_directories(${target_name} PRIVATE "D:/dev_libs/Python/Python312/include")

# libs
target_link_directories(${target_name} PRIVATE "D:/dev_libs/Python/Python312/libs")
target_link_libraries(${target_name} _tkinter.lib python3.lib python312.lib)
```

添加`python` DLL到环境变量`PATH`: `D:\dev_libs\Python\Python312`，编译成功即可运行。

## 3. 样条曲线拟合 ##

* [三次样条(Cubic Spline)的C++实现以及可视化](https://blog.csdn.net/aliexken/article/details/121923957)
* [样条插值(Spline Interpolation)](https://bbs.huaweicloud.com/blogs/264151)
* [三次样条插值原理及代码实现](https://www.cnblogs.com/flysun027/p/10371726.html)