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import numpy as np import statsmodels.api as sm data = np.loadtxt('F:\python数学建模与算法\源程序\《Python数学建模算法与应用》程序和数据\第9章 数据的描述性统计方法/ti9_5.txt') x1 = np.vsta 阅读全文
posted @ 2025-01-03 17:59
世梦
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import numpy as np import pandas as pd import scipy.stats as ss import statsmodels.api as sm data = np.loadtxt('F:\python数学建模与算法\源程序\《Python数学建模算法与应用》 阅读全文
posted @ 2025-01-03 17:59
世梦
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import numpy as np import pandas as pd import statsmodels.api as sm import matplotlib.pyplot as plt df = pd.read_excel('F:\python数学建模与算法\第九章习题\hm9.3.x 阅读全文
posted @ 2025-01-03 17:58
世梦
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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.sans-s 阅读全文
posted @ 2025-01-03 17:56
世梦
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import numpy as np import matplotlib.pyplot as plt from scipy.stats import norm x = np.linspace(-2, 2, 100) L = [1/2, 1, 2] s1 = ['*-', '.-', 'o-'] s2 阅读全文
posted @ 2025-01-03 17:53
世梦
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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=\frac{1}{3 阅读全文
posted @ 2025-01-03 17:52
世梦
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