luoganttcc的博客

【代码】Matplotlib散点图：如何为每个数据点添加标签。

b=list(range(5))b[0, 1, 2, 3, 4] #列表区别a=np.arange(5)aarray([0, 1, 2, 3, 4])# 矩阵生成一个1*24的矩阵，在将她变成2*3*4的数体c=np.arange(24).reshape(2,3,4)cOut[301]: array([[[ 0, 1, 2, 3], [ 4, 5, 6,

zip 就是zip函数接受任意多个（包括0个和1个）序列作为参数，返回一个tuple列表x = [1, 2, 3]y = [4, 5, 6]z = [7, 8, 9]list(zip(x, y, z))Out[33]: [(1, 4, 7), (2, 5, 8), (3, 6, 9)]x = [1, 2, 3]y = [4, 5, 6, 7]list(zip(x, y, z))Out[36]:

我近半年每个月所写博客的数量# -*- coding: utf-8 -*-"""Created on Fri Sep 1 18:23:07 2017@author: Administrator"""from sklearn import linear_modelimport numpy as npimport matplotlib.pyplot as plty=np.array([1

import numpy as npfrom scipy.optimize import leastsqimport pylab as plimport matplotlib.pyplot as plt x = np.arange(1, 17, 1)y = np.array([4.00, 6.40, 8.00, 8.80, 9.22, 9.50, 9.70, 9.86, 10.00, 10.

from matplotlib import pyplot as pltimport numpy as npfrom mpl_toolkits.mplot3d import Axes3Dfig = plt.figure()ax = Axes3D(fig)X = np.arange(-4, 4, 0.25)Y = np.arange(-4, 4, 0.25)X, Y = np.mes