CLW1218的博客

条形图上方显示标签数据降序排列：data = data.sort_values(by=[‘项目数量’], ascending=True)取消x,y轴：plt.axis(‘off’)添加灰色底色：color=’#F5F5F5’标签、数据上方显示：for循环import matplotlib.pyplot as pltimport pandas as pdimport numpy as npdata = pd.read_excel(r"C:\Users\10069\Desktop\2.1招标单位

向量、矩阵、数组# 1.1 创建向量 array#一维数组import numpy as npvector_row = np.array([1,2,3]) # 创建行向量vector_column = np.array([[1],[2],[3]]) # 创建列向量# 1.2 创建矩阵matrix = np.array([[1,2],[1,2],[1,2]])# 1.3 创建稀疏矩阵（只保存非零值,节省计算成本）from scipy import sparsematrix =

from __future__ import division#==============根据马青公式计算圆周率==============number = int(input('请输入想要计算到小数点后的位数n:'))number1 = number+10 # 多计算10位，防止尾数取舍的影响b = 10**number1 # 算到小数点后number1位x1 = b*4//5 # 求含4/5的首项x2 = b// -239 # 求含1/239的首项he = x1+x2

R中自带数据HairEyeColor用头发颜色和眼睛颜色形成的列联表做二元对应分析

import matplotlib.pyplot as plt import numpy as np from sklearn.cluster import KMeansfrom sklearn.cluster import AgglomerativeClusteringfrom sklearn.datasets import load_iris# K均值聚类iris = load_i...

用聚类分析将图片中所有的颜色值做聚类。得到的聚类中心的颜色替换原来位置的颜色，形成新的图片。from skimage import ioimport matplotlib.image as imgfrom sklearn.cluster import KMeansimport numpy as npfrom matplotlib import pyplot as pltimage ...

import pandas as pdimport numpy as npfrom sklearn import preprocessingfrom factor_analyzer import FactorAnalyzerdata = pd.read_csv("E:/who1.csv")# 数据均值规范化data1 = data.iloc[:,1:] data2 = prep...

在这里插入代码片

# -*- coding: utf-8 -*-"""Created on Fri Jun 21 15:52:54 2019@author: Administrator"""a=12aprint(a)num=1string="1"num2=int(string)print(num+num2)words='words'*3print(words)word='a l...

# -*- coding: utf-8 -*-"""Created on Thu Sep 5 15:11:14 2019@author: Administrator"""# 一、图表组成元素import matplotlib.pyplot as pltimport numpy as npx=np.linspace(0.5,10,1000) # 0.5到10之间均匀的取10...

# -*- coding: utf-8 -*-"""Created on Fri Jul 12 12:20:50 2019@author: Administrator"""#========================第四章 numpy基础=============import numpy as npfrom numpy import randomdata1=[6,7.5...

# -*- coding: utf-8 -*-"""Created on Fri Jun 21 16:22:41 2019@author: Administrator"""1//210%3x=input("x:")y=input("y:")print(int(x)*int(y))pow(2,3) from math import sqrtsqrt(16)impo...