qa38113202的博客

1.常用方法# -*- coding: UTF-8 -*-import osimport pandasprint(os.getcwd())dt=pandas.read_excel("C:\\Users\\asus\\Desktop\\aaa.xlsx",delimiter="\t")print(type(dt))print(dt.head(2))print(dt.tail(2))

数据如下：DATEVALUE 1987/1/13.4 1987/2/13.2 1987/3/13.1 1987/4/13.6 1987/5/13.2 1987/6/13.1

# -*- coding: UTF-8 -*-import numpy as np#变量str_test="hell python"int_test=123float_test=123.5print(str_test);print(type(str_test))print(type(int_test))print(type(float_test))输出结果：hel

# -*- coding: UTF-8 -*-import numpyvactor=numpy.array([5,10,15,20])matris=numpy.array([[5,10,15,20],[25,30,35,40]])print(vactor)print(matris)print(type(vactor))print(type(matris))print(vactor.

axisvactor1=numpy.array([5,10,15,20])matris1=numpy.array([ [5,10,15,20], [25,30,35,40], [55,60,65,70]])print(vactor1.min())print(vactor1.max())print(matris1.sum(axis=0))#对行累加print(

'''最小二乘法求解线性回归'''import pandas as pdimport numpy as npimport matplotlib as mplimport matplotlib.pyplot as pltfrom sklearn.model_selection import train_test_split#防止中文乱码plt.rcParams['font....

 即  -log(24.5/24.5+164+0.18) 目标函数