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添加预测图说明

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workpc 2024-11-05 16:13:36 +08:00
parent bac2919c25
commit 59e07665e8
1 changed files with 9 additions and 6 deletions
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15
models/nerulforcastmodels.py
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@ -550,13 +550,16 @@ def brent_export_pdf(num_indicators=475,num_models=21, num_dayindicator=202,inpu
### 预测结果
content.append(Graphs.draw_little_title('一、预测结果：'))
# 添加图片
# 找出后缀是历史价格-预测值.png的图片
# import glob
# imgs = glob.glob(os.path.join(dataset,'*历史价格-预测值.png'))
# for img in imgs:
# content.append(Graphs.draw_img(img))
# 添加历史走势及预测价格的走势图片
content.append(Graphs.draw_img(os.path.join(dataset,'历史价格-预测值.png')))
content.append(Graphs.draw_text('图示说明：'))
content.append(Graphs.draw_text('1. 确定波动率置信区间：统计近60个交易日的真实价格波动率，找出在 10% ，90% 的分位值作为波动率置信区间;'))
content.append(Graphs.draw_text('2. 确定通道上界：在所有模型的预测结果中 <= 前一天真实价格 乘以 90%置信'))
content.append(Graphs.draw_text('3. 确定通道下界：在所有模型的预测结果中 >= 前一天真实价格 乘以 10%置信'))
content.append(Graphs.draw_text('4. 预测结果没有真实值作为参考依据，通道上界取近20个交易日内预测在上界值的模型对应的预测值，通道下界同理；'))
content.append(Graphs.draw_text('5. 预测结果选用近20个交易日内，最多接近真实值的模型的预测值对应的预测结果；'))
content.append(Graphs.draw_text('6. 预测结果在通道外的，代表最接近真实值的预测结果不在置信波动范围内。'))
# 取df中y列为空的行
import pandas as pd