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python中pandas操作apply返回多列的实现_python_脚本之家
#df['slope'] = df_10min.apply(lambda x: math.atan(210 / (x['ws_260'] - x['ws_50'] + 1e-7))*180/math.pi, axis=1)1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 import pandas as pd df_tmp = pd.DataFrame([ {"a":"data...
www.jb51.net/article/2584...htm 2024-12-5
Python中常用的统计检验代码分享_python_脚本之家
print("斜率:", slope) print("截距:", intercept) print("相关系数:", r_value) print("p 值:", p_value) if p_value < 0.05: print("回归模型显著") else: print("回归模型不显著")在上面的示例中,创建了自变量数据 x 和因变量数据 y,然后使用 linregress 函数执行线性回归分析,得到回归方程的斜...
www.jb51.net/python/314769a...htm 2024-12-6
Python数据分析中常见统计方法详解_python_脚本之家
print("斜率:", slope) print("截距:", intercept) print("相关系数:", r_value) print("p-值:", p_value) 数据可视化 数据可视化是数据分析的重要部分,它可以帮助更好地理解数据和趋势。 1. 直方图 直方图用于展示数据的分布情况。 1 2 3 4 5 6 7 8 9 import numpy as np import matplotlib.pyplo...
www.jb51.net/python/315871a...htm 2024-12-5
python实现逆滤波与维纳滤波示例_python_脚本之家
offset=round(i*slope_cot) PSF[int(center_position-offset),int(center_position+offset)]=1 return PSF / PSF.sum() #对图片进行运动模糊 def make_blurred(input, PSF, eps): input_fft = fft.fft2(input)# 进行二维数组的傅里叶变换 PSF_fft = fft.fft2(PSF)+ eps blurred = fft.ifft2(input...
www.jb51.net/article/1813...htm 2024-11-27
人工智能—Python实现线性回归_python_脚本之家
initial_w = 0 # initial slope guess num_iterations = 1000 print("迭代前 b = {0}, w = {1}, error = {2}" .format(initial_b, initial_w, compute_error_for_line_given_points(initial_b, initial_w, data)) ) print("Running...") [b, w] = gradient_descent_runner(data, initial_...
www.jb51.net/article/2347...htm 2024-12-5
python数据分析之时间序列分析详情_python_脚本之家
model1 = Holt(train["X1"].values).fit(smoothing_level=0.1, smoothing_slope = 0.05) y_hat_avg["holt_forecast1"] = model1.forecast(len(test)) model2 = Holt(train["X1"].values).fit(smoothing_level=0.1, smoothing_slope = 0.25) y_hat_avg["holt_forecast2"] = model2.forecast(len(te...
www.jb51.net/article/2589...htm 2022-8-11