python BaselineRemoval 修正后改变y值

问题描述

我正在使用 BaselineRemoval 库来校正 CA 通量信号数据。我无法理解为什么 y 轴值会发生变化。你能告诉我为什么吗

蓝线是原始数据，橙色线是去除基线后的数据。我使用了以下代码和数据。

a_org = 数组([664300000,686100000,667900000,655000000,602000000,546500000,532600000,496400000,469000000,430700000,416500000,423300000,622900000,662200000,679200000,662600000,630800000,581100000,531100000,509500000,469600000,445200000,424700000,398000000,383100000,629400000,668200000,663400000,639100000,620700000,564600000,514500000,499500000,472800000,441100000,428000000,406700000,412900000,627900000,652900000,663100000,633400000,586400000,557600000,511200000,470300000,445900000,415400000,388200000,370300000,498300000,625700000,647600000,645700000,628100000,579800000,516100000,490300000,456800000,424000000,399200000,378300000,362000000,561600000,629000000,636300000,626100000,604500000,557800000,507700000,463800000,449300000,398700000,378900000,377200000,364600000,591000000,633500000,636800000,619600000,589100000,540800000,498100000,460400000,418400000,395900000,397500000,388100000,366000000,589600000,632200000,620200000,597000000,568600000,517600000,496000000,436500000,407300000,380600000,363100000,357500000,592500000,620500000,615700000,591900000,549500000,516500000,464200000,440700000,402500000,388400000,365000000,359400000,384100000,586700000,609700000,605100000,587500000,549700000,497300000,455000000,441800000,418100000,386900000,373000000,358000000,424400000,591300000,604800000,599000000,569200000,537600000,491600000,455200000,422800000,392900000,367500000,352400000,332400000,480300000,584100000,595600000,583100000,552000000,510400000,471100000,424600000,421500000,392500000,377900000,360000000,340900000,513500000,570700000,581400000,574500000,543900000,503300000,449700000,421300000,405600000,383900000,357600000,342800000,335600000,530100000,582000000,570900000,523600000,482100000,458100000,415600000,382800000,367800000,347600000,358100000,337100000,529100000,576200000,562600000,527400000,478600000,436600000,402700000,394800000,367600000,357000000,331700000,355000000,542700000,566100000,564400000,504200000,470800000,434600000,415100000])

from BaselineRemoval import BaselineRemoval
polynomial_degree=2 #only needed for Modpoly and IModpoly algorithm
input_array = x_org

baSEObj=BaselineRemoval(input_array)
Modpoly_output=baSEObj.Modpoly(polynomial_degree)
Imodpoly_output=baSEObj.IModpoly(polynomial_degree)
Zhangfit_output=baSEObj.ZhangFit()

print('Original input:',input_array)
print('Modpoly base corrected values:',Modpoly_output)
print('IModpoly base corrected values:',Imodpoly_output)
print('ZhangFit base corrected values:',Zhangfit_output)

plt.plot(x_org)
plt.plot(Zhangfit_output)
plt.plot(baseline_values)
plt.plot(baseline_values1)

解决方法

BaselineRemoval 将分析数据并尝试从值中删除估计的基线。这将减少 Y 值。您可以看到橙色线已经减少，每个周期的最低值都在 0 左右。

baseline python