python 光谱去除基线

在Python中，可以使用不同的方法进行光谱去除基线的操作。其中包括使用savgol_filter函数和signal.detrend函数。

使用savg_filter函数的代码示例如下：

import os
import matplotlib.pyplot as plt
import.signal
import numpy as np

def main():
    # 读取数据
    dir = "D:\\a_user_file\\8_data"
    filename = 's1_run.csv'
    path = os.path.join(dir, filename)
    with open(path, "r") as fname:
        data = fname.read()
    lines = data.split("\n")
    raw_data = []
    for i in range(len(lines)):
        line_i = lines[i].split(",")
        raw_data.append(int(line_i<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
-  *1* [光谱的去基线处理](https://blog.csdn.net/weixin_39609650/article/details/111010455)[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^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
-  *2* *3* [多种方法进行去基线处理](https://blog.csdn.net/ximu__l/article/details/128965333)[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^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
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