四参数坐标转换python

在Python中进行四参数坐标转换可以使用以下代码：

import numpy as np
import math

def coordinate_transform(x, y):
    dx = 391090.650080
    dy = 2473060.653080
    T = 0.017260
    K = 0.999697
    
    x2 = dx + K * (math.cos(T) * x - math.sin(T) * y)
    y2 = dy + K * (math.sin(T) * x + math.cos(T) * y)
    
    return x2, y2

这段代码中，`dx`和`dy`表示两个坐标系的平移量，`T`表示旋转角度，`K`表示尺度因子。通过代入公式进行坐标转换，可以得到转换后的坐标`(x2, y2)`。你可以将需要转换的坐标作为参数传入`coordinate_transform`函数中，函数将返回转换后的坐标。
#### 引用[.reference_title]
- *1* *3* [四参数 炫出不一样的坐标系](https://blog.csdn.net/g0415shenw/article/details/127099753)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^koosearch_v1,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* [基于COORD四参数坐标转换](https://blog.csdn.net/pulian1508/article/details/123149242)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^koosearch_v1,239^v3^insert_chatgpt"}} ] [.reference_item]
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