摘要：
点击查看代码 import numpy as np import pandas as pd import statsmodels.api as sm import matplotlib.pyplot as plt # 读取数据 df = pd.read_excel('F:\python数学建模与算法 阅读全文
摘要：
点击查看代码 import numpy as np import pandas as pd import scipy.stats as ss import statsmodels.api as sm import matplotlib.pyplot as plt plt.rcParams['font 阅读全文
摘要：
点击查看代码 import numpy as np import matplotlib.pyplot as plt from scipy.stats import norm # 生成 x 值 x = np.linspace(-2, 2, 100) # 定义标准差列表 L = [1/2, 1, 2] 阅读全文
摘要：
点击查看代码 from scipy.stats import expon, gamma import pylab as plt x = plt.linspace(0, 3, 100) L = [1/3, 1, 2] s1 = ['*-', '.-', 'o-'] s2 = ['$\\theta=\\ 阅读全文