摘要: #10-1 import pandas as pd import matplotlib.pyplot as plt inputfile ='original_data.xls' data = pd.read_excel(inputfile) lv_non = pd.value_counts(data 阅读全文
posted @ 2023-03-27 14:21 llllllIl 阅读(31) 评论(0) 推荐(0) 编辑
摘要: import pandas as pdinputfile='GoodsOrder.csv'data = pd.read_csv(inputfile,encoding = 'gbk')# 根据id对“Goods”列合并,并使用“,”将各商品隔开data['Goods'] = data['Goods'] 阅读全文
posted @ 2023-03-27 14:20 llllllIl 阅读(187) 评论(1) 推荐(0) 编辑
摘要: 第一部分——飞机客户数据分析预测 代码一:读取数据 import pandas as pd datafile='./data/air_data.csv' resultfile='./data/explore.csv' data = pd.read_csv(datafile,encoding = 'u 阅读全文
posted @ 2023-03-13 21:59 llllllIl 阅读(179) 评论(0) 推荐(0) 编辑
摘要: import syssys.path.append('../code') # 设置路径import numpy as npimport pandas as pdfrom GM11 import GM11 # 引入自编的灰色预测函数 inputfile1 = 'new_reg_data.csv' # 阅读全文
posted @ 2023-03-05 21:33 llllllIl 阅读(73) 评论(0) 推荐(0) 编辑
摘要: 1.用python第三方库绘制sinx函数图像 import matplotlib.pyplot as pltplt.rcParams['font.sans-serif'] = ['SimHei']plt.rcParams['axes.unicode_minus'] = False#plt.plot 阅读全文
posted @ 2023-02-26 22:14 llllllIl 阅读(56) 评论(0) 推荐(0) 编辑
摘要: 1.用python第三方库绘制sinx函数图像 import matplotlib.pyplot as pltplt.rcParams['font.sans-serif'] = ['SimHei']plt.rcParams['axes.unicode_minus'] = False#plt.plot 阅读全文
posted @ 2023-02-26 21:57 llllllIl 阅读(84) 评论(0) 推荐(0) 编辑
摘要: #定义一个2行3列全为0的矩阵 tensor1 = tf.zeros([2,3]) print(tensor1)"""运行结果:tf.Tensor([[0. 0. 0.][0. 0. 0.]], shape=(2, 3), dtype=float32)"""#定义一个2行2列全为1的矩阵 ones_ 阅读全文
posted @ 2022-04-25 00:15 llllllIl 阅读(55) 评论(0) 推荐(0) 编辑
摘要: import mathimport pandas as pdimport numpy as npimport matplotlib.pyplot as pltdata_tr = pd.read_csv('3.3 data_tr.txt') # 训练集样本data_te = pd.read_csv(' 阅读全文
posted @ 2022-03-19 22:49 llllllIl 阅读(187) 评论(0) 推荐(0) 编辑
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