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import numpy as np import statsmodels.formula.api as smf import matplotlib.pyplot as plt # 加载数据 a = np.loadtxt('data10_3.txt') # 设置绘图参数 plt.rc('text', 阅读全文
posted @ 2024-12-21 11:41
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import numpy as np import statsmodels.api as sm import matplotlib.pyplot as plt # 加载数据 a = np.loadtxt('data10_2.txt') # 设置绘图参数 plt.rc('text', usetex=T 阅读全文
posted @ 2024-12-21 11:39
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import numpy as np import statsmodels.api as sm import matplotlib.pyplot as plt def check(data): # 提取数据的第一列和第二列 x = data[:, 0] y = data[:, 1] # 使用stat 阅读全文
posted @ 2024-12-21 11:35
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import pandas as pd from statsmodels.formula.api import ols from statsmodels.stats.anova import anova_lm 定义列名 column_names = ['城市1', '城市2', '城市3', '城市 阅读全文
posted @ 2024-12-09 17:11
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import pandas as pd import matplotlib.pyplot as plt import seaborn as sns from scipy import stats 读取Excel文件 file_path = '9.3.xlsx' data = pd.read_exce 阅读全文
posted @ 2024-12-09 17:09
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import numpy as np from scipy.stats import shapiro data=[15.0,15.8,15.2,15.1,15.9,14.7,14.8,15.5,15.6,15.3,15.1,15.3,15.0,15.6,15.7,14.8,14.5,14.2,14. 阅读全文
posted @ 2024-12-09 17:06
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def calculate_monthly_payment(P, annual_interest_rate, n_years): monthly_interest_rate = annual_interest_rate / 12 / 100 total_months = n_years * 12 M 阅读全文
posted @ 2024-12-09 17:05
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import numpy as np import matplotlib.pyplot as plt 初始化参数 a = 1 - 0.2 * (1 / 12) m = 1.109 * 10**5 w3 = 17.86 w4 = 22.99 X = [] Z = [] 计算X和Z的值 for k in 阅读全文
posted @ 2024-12-09 17:02
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