Is is A Turning Point?

最新推荐文章于 2024-04-24 18:56:18 发布
最新推荐文章于 2024-04-24 18:56:18 发布
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分类专栏： Writing Practice 文章标签： random rest
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本文链接：https://blog.youkuaiyun.com/xueyayang/article/details/5765114
本文分享了作者成功编写随机数生成程序的经历，并在晚饭后感到头痛，怀疑是空调温度过低所致。作者总结了今天需要休息的观点，强调了规律生活的重要性。在周末来临之前，反思了工作进度和必要休息的需求。

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Finally, I succeed in writing a random number generating programming.Oh, is this the turning point of recently bad days? I feel happy whatever. After dinner, I found I have a headache.Maybe the air-conditioner was set to a too low temprature. Last conclusion about today:I need weekend,I must have rest even there still has a lot of work to do.This is necessarity of a regular life.
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import pandas as pd import numpy as np from scipy.optimize import curve_fit # 读取Excel文件 df = pd.read_excel('file.xlsx') # 定义多项式拟合函数 def poly_func(x, *coefficients): return sum([c * x ** i for i, c in enumerate(coefficients)]) # 存储拐点坐标的列表 turning_points = [] # 遍历每一行数据 for index, row in df.iterrows(): # 跳过空行 if pd.isnull(row).all(): continue # 获取当前行的数据 x = np.arange(len(row)) y = row.values # 进行多项式拟合 coefficients, _ = curve_fit(poly_func, x, y) # 寻找拐点 turning_point_indices = np.where(np.diff(np.sign(np.diff(y))) != 0)[0] + 1 turning_point_coordinates = [(x[i], y[i]) for i in turning_point_indices] # 添加到拐点列表 turning_points.append(turning_point_coordinates) # 创建新的DataFrame用于存储拐点坐标 new_df = pd.DataFrame(turning_points, columns=[f'拐点{i+1}坐标' for i in range(len(turning_points[0]))]) # 将结果保存到新的Excel文件 new_df.to_excel('拐点坐标.xlsx', index=False) 用Python写一段代码实现一下功能：对file.xlsx文件进行按行读取，自动跳过空行，对每行用六次多项式拟合，求出每行的拐点。将每行的拐点坐标存到新的Excel文件中
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turning_point_coordinates = [(x[i], y[i]) for i in turning_point_indices] # 添加到拐点列表 turning_points.append(turning_point_coordinates) # 创建新的DataFrame用于存储拐点坐标 new_df = pd....
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