import matplotlib.pyplot as plt from scipy.optimize import curve_fit from scipy.interpolate import interp1d from scipy.signal import savgol_filter import numpy as np x = np.array([0.0, 2.4343476531707129, 3.606959459205791, 3.9619355597454664, 4.3503348239356558, 4.6651002761894667, 4.9360228447915109, 5.18395...
15. 16. 假设有一批数据样本,要创建这些样本数据的拟合曲线或函数,可以使用Scipy.optimize的curve_fit()函数: optimize.curve_fit(func, x1, y1) func:目标函数 x1,y1:样本数据 1. 2. 3. 使用以下函数演示曲线拟合: import numpy as np from scipy import optimize import matplotlib.pyplot as plt # 函数...
Files main bls .gitignore LICENSE README.rst filter.py medium_filter.py ruth_bls2.py setup.py Latest commit RuthAngus filter Jun 21, 2013 995b9b2·Jun 21, 2013 History History File metadata and controls executable file · 240 lines (213 loc) · 6.94 KB ...
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