<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[kun_coder的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/kun_coder</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; kun_coder]]></copyright><item><title><![CDATA[Tkinter绘制杜仲简介应用界面（Python）]]></title><link>https://blog.youkuaiyun.com/kun_coder/article/details/121931033</link><guid>https://blog.youkuaiyun.com/kun_coder/article/details/121931033</guid><author>kun_coder</author><pubDate>Tue, 14 Dec 2021 16:57:56 +0800</pubDate><description><![CDATA[tkinter绘制杜仲简介应用界面
#-*- coding:utf-8 -*-
#引入所需要的库函数
import tkinter
import tkinter.messagebox
from tkinter import *
import tkinter as tk
import matplotlib.pyplot as plt
import numpy as np
import matplotlib as mpl
mpl.rcParams['font.sans-serif'] = ['SimHei']
]]></description><category></category></item><item><title><![CDATA[巧用python直接读取网址CSV文件，并统计结果——基于新冠疫情数据]]></title><link>https://blog.youkuaiyun.com/kun_coder/article/details/121894430</link><guid>https://blog.youkuaiyun.com/kun_coder/article/details/121894430</guid><author>kun_coder</author><pubDate>Sun, 12 Dec 2021 21:58:01 +0800</pubDate><description><![CDATA[python读取网址CSV文件并统计结果
首先第一步打开pycharm（bushi）
import pandas as pd
data = pd.read_csv(r"http://data.ontario.ca/dataset/f4112442-bdc8-45d2-be3c-12efae72fb27/resource/455fd63b-603d-4608-8216-7d8647f43350/download/conposcovidloc.csv")

print("Please input your ci]]></description><category></category></item><item><title><![CDATA[左右纵坐标轴]]></title><link>https://blog.youkuaiyun.com/kun_coder/article/details/118737677</link><guid>https://blog.youkuaiyun.com/kun_coder/article/details/118737677</guid><author>kun_coder</author><pubDate>Wed, 14 Jul 2021 21:20:04 +0800</pubDate><description><![CDATA[import numpy as np
from mpl_toolkits.axisartist.parasite_axes import HostAxes, ParasiteAxes
import matplotlib.pyplot as plt
import matplotlib as mpl
mpl.rcParams["font.sans-serif"] = ["Times New Roman"]
mpl.rcParams["axes.unicode_minus"] = False
x = ['0', ]]></description><category></category></item><item><title><![CDATA[matplotlib淘汰折线图]]></title><link>https://blog.youkuaiyun.com/kun_coder/article/details/117775915</link><guid>https://blog.youkuaiyun.com/kun_coder/article/details/117775915</guid><author>kun_coder</author><pubDate>Thu, 10 Jun 2021 12:53:16 +0800</pubDate><description><![CDATA[import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl

mpl.rcParams["font.sans-serif"] = ["KaiTi"]
mpl.rcParams["axes.unicode_minus"] = False

x=[1,2,3,4,5,6,7,8,9,10,11]
y=[60, 61, 63, 61, 62, 68, 60, 64, 60, 63, 60]
fig=plt.figure(f]]></description><category></category></item><item><title><![CDATA[matplotlib柱状图与标准线]]></title><link>https://blog.youkuaiyun.com/kun_coder/article/details/117755139</link><guid>https://blog.youkuaiyun.com/kun_coder/article/details/117755139</guid><author>kun_coder</author><pubDate>Wed, 09 Jun 2021 21:54:11 +0800</pubDate><description><![CDATA[import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
import seaborn as sns

mpl.rcParams["font.sans-serif"] = ["SimHei"]
mpl.rcParams["axes.unicode_minus"] = False

y1=0.48
y2=0.46
y3=0.47
y4=0.45
y5=0.46
x1=0
x2=1
x3=2
x4=3
x5=4

ba]]></description><category></category></item><item><title><![CDATA[matplotlib折线图与柱状图绘制在一起]]></title><link>https://blog.youkuaiyun.com/kun_coder/article/details/117708264</link><guid>https://blog.youkuaiyun.com/kun_coder/article/details/117708264</guid><author>kun_coder</author><pubDate>Tue, 08 Jun 2021 16:44:31 +0800</pubDate><description><![CDATA[import seaborn as sns
import matplotlib.pyplot as plt

plt.rcParams['font.sans-serif'] = ['SimHei']  # 中文字体设置-黑体
plt.rcParams['axes.unicode_minus'] = False  # 解决保存图像是负号'-'显示为方块的问题
sns.set(font='SimHei', style='white', )  # 解决Seaborn中文显示问题

Income=[2456,203]]></description><category></category></item><item><title><![CDATA[matplotlib多张子图画在一起]]></title><link>https://blog.youkuaiyun.com/kun_coder/article/details/117708198</link><guid>https://blog.youkuaiyun.com/kun_coder/article/details/117708198</guid><author>kun_coder</author><pubDate>Tue, 08 Jun 2021 16:42:48 +0800</pubDate><description><![CDATA[import matplotlib.pyplot as plt
import numpy as np
import math
plt.rcParams['font.sans-serif']=['SimHei'] # 用来正常显示中文标签
plt.rcParams['axes.unicode_minus']=False # 用来正常显示负号

x = np.linspace(-math.pi, math.pi)
y1 = np.sin(x)
y2 = np.cos(x)
y3 = np.tan(x)

fig]]></description><category></category></item><item><title><![CDATA[python绘制单列多色柱状图]]></title><link>https://blog.youkuaiyun.com/kun_coder/article/details/117223888</link><guid>https://blog.youkuaiyun.com/kun_coder/article/details/117223888</guid><author>kun_coder</author><pubDate>Mon, 24 May 2021 15:05:54 +0800</pubDate><description><![CDATA[import pandas as pd


dfA = pd.read_excel('E:/画图/WashingMachine.xlsx')

dtdA = pd.to_datetime(dfA['价格'], infer_datetime_format=True)
month1 = dfA[(pd.to_datetime(dfA['价格'], infer_datetime_format=True) &gt;= pd.to_datetime(0, infer_datetime_format=True))
  ]]></description><category></category></item><item><title><![CDATA[Python安装tar.gz格式文件]]></title><link>https://blog.youkuaiyun.com/kun_coder/article/details/117167907</link><guid>https://blog.youkuaiyun.com/kun_coder/article/details/117167907</guid><author>kun_coder</author><pubDate>Sat, 22 May 2021 18:00:16 +0800</pubDate><description><![CDATA[Python安装tar.gz格式文件
python有的库没有对应的.whl格式文件，只有.tar.gz格式文件，接下来总结下该类型文件的安装
以robotframework-ride-1.7.4.tar.gz为例
（1）下载robotframework-ride-1.7.4.tar.gz文件，将此文件放到Python下的Lib文件中；
（2）进入已解压的robotframework-ride-1.7.4文件夹下，可以看到setup.py文件，直接在地址栏输入%comspec%，进入该目录的命令提示符；
（3]]></description><category></category></item><item><title><![CDATA[Python绘制气泡图]]></title><link>https://blog.youkuaiyun.com/kun_coder/article/details/116236837</link><guid>https://blog.youkuaiyun.com/kun_coder/article/details/116236837</guid><author>kun_coder</author><pubDate>Wed, 28 Apr 2021 16:33:36 +0800</pubDate><description><![CDATA[实现python绘制气泡图，用气泡的不同颜色，不同大小展示信息
代码部分
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib.pyplot as plt
from matplotlib.pyplot import MultipleLocator

def DrawBubble(read_name):#气泡图
    sns.set(styl]]></description><category></category></item><item><title><![CDATA[python绘制堆积折线图]]></title><link>https://blog.youkuaiyun.com/kun_coder/article/details/113763929</link><guid>https://blog.youkuaiyun.com/kun_coder/article/details/113763929</guid><author>kun_coder</author><pubDate>Mon, 08 Feb 2021 23:05:00 +0800</pubDate><description><![CDATA[python绘制堆积折线图
import matplotlib.pyplot as plt

x = [1,2,3,4,5,6,7,8]
y = [169, 171, 170, 668, 936, 654, 883, 1806]
y1 = [27, 379, 303, 916, 1254, 630, 512, 1088]
y2 = [0, 5, 48, 296, 940, 3805, 4119, 1144]
y3 = [42, 3131, 5804, 4787, 3081, 1493, 1045, 1520]]></description><category></category></item><item><title><![CDATA[python绘制聚类树状图]]></title><link>https://blog.youkuaiyun.com/kun_coder/article/details/113739554</link><guid>https://blog.youkuaiyun.com/kun_coder/article/details/113739554</guid><author>kun_coder</author><pubDate>Sun, 07 Feb 2021 13:26:08 +0800</pubDate><description><![CDATA[python绘制聚类树状图
import pandas as pd
import plotly.figure_factory as ff
import chart_studio.plotly as py
import chart_studio
chart_studio.tools.set_credentials_file(username="用户名", api_key='秘钥')
data = pd.read_excel('作图1.xlsx')
X = data[["总分"]]
fig = ff.creat]]></description><category></category></item><item><title><![CDATA[你不能不知道的学习网站推荐]]></title><link>https://blog.youkuaiyun.com/kun_coder/article/details/105581167</link><guid>https://blog.youkuaiyun.com/kun_coder/article/details/105581167</guid><author>kun_coder</author><pubDate>Fri, 17 Apr 2020 15:40:09 +0800</pubDate><description><![CDATA[1、爱学堂
爱学堂创立于2014年5月，是清华大学发起的中文MOOC平台学堂在线的基础教育频道，是教育部在线教育研究中心基础教育部的研究交流和成果应用平台，是爱学棠（北京）教育科技有限公司的旗下中小学MOOC平台（在线教育平台），这里汇集优质教育资源，促进教育公平！

2、中国大学MOOC
国家精品课程在线学习平台–高职/大专/本科/考研课程
中国大学MOOC（慕课）是由由网易与高教社“爱课程网”...]]></description><category></category></item><item><title><![CDATA[虚拟机与主机ping不通问题的解决办法]]></title><link>https://blog.youkuaiyun.com/kun_coder/article/details/105524603</link><guid>https://blog.youkuaiyun.com/kun_coder/article/details/105524603</guid><author>kun_coder</author><pubDate>Wed, 15 Apr 2020 00:01:36 +0800</pubDate><description><![CDATA[在虚拟机与主机互相ping IP地址的时候，我们会遇到各种各样的问题，下面是我遇到的一些问题以及解决办法，希望对你有所帮助。
1、由于防火墙的原因
使用虚拟机不一定非要关闭防火墙，简单设置一下防火墙即可。
具体操作步骤如下：
1、打开控制面板，选择系统和安全
 2、windows防火墙
3、高级设置
4、入站规则
5、找到文件和打印机共享(回显请求 - ICMPv4-In) （专用，公用）右键启用...]]></description><category></category></item><item><title><![CDATA[python实现相关系数热力图]]></title><link>https://blog.youkuaiyun.com/kun_coder/article/details/104899061</link><guid>https://blog.youkuaiyun.com/kun_coder/article/details/104899061</guid><author>kun_coder</author><pubDate>Mon, 16 Mar 2020 14:43:50 +0800</pubDate><description><![CDATA[Python实现
import seaborn as sns
import numpy as np
import matplotlib.pyplot as plt
import random
np.random.seed(1)

data = np.random.rand(8, 8)

sns.set()
# data:数据 square:是否是正方形 vmax:最大值 vmin:最小值 robu...]]></description><category></category></item><item><title><![CDATA[Python绘制雷达图]]></title><link>https://blog.youkuaiyun.com/kun_coder/article/details/104898774</link><guid>https://blog.youkuaiyun.com/kun_coder/article/details/104898774</guid><author>kun_coder</author><pubDate>Mon, 16 Mar 2020 14:33:11 +0800</pubDate><description><![CDATA[import matplotlib
import matplotlib.pyplot as plt
import numpy as np
matplotlib.rcParams['font.family'] = 'SimHei'
matplotlib.rcParams['font.sans-serif'] = ['SimHei']   # 为了正确显示中文字体，将字体更改为黑体‘SimHei’
d...]]></description><category></category></item><item><title><![CDATA[Python绘制彩虹饼图]]></title><link>https://blog.youkuaiyun.com/kun_coder/article/details/104898676</link><guid>https://blog.youkuaiyun.com/kun_coder/article/details/104898676</guid><author>kun_coder</author><pubDate>Mon, 16 Mar 2020 14:28:19 +0800</pubDate><description><![CDATA[from matplotlib import font_manager as fm
from matplotlib import cm
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

shapes = ['Cross', 'Cone', 'Egg', 'Teardrop', 'Chevron', 'Di...]]></description><category></category></item><item><title><![CDATA[python三个并排饼图]]></title><link>https://blog.youkuaiyun.com/kun_coder/article/details/104898602</link><guid>https://blog.youkuaiyun.com/kun_coder/article/details/104898602</guid><author>kun_coder</author><pubDate>Mon, 16 Mar 2020 14:25:02 +0800</pubDate><description><![CDATA[import matplotlib.pyplot as plt

labels = 'Comments rated 1', 'Comments rated 2', 'Comments rated 3', 'Comments rated 4', 'Comments rated 5'
sizes = [38, 16, 18, 54, 107]
sizes1 = [84, 45, 59, 132, 31...]]></description><category></category></item><item><title><![CDATA[用Python绘制不一样的柱状图]]></title><link>https://blog.youkuaiyun.com/kun_coder/article/details/104898418</link><guid>https://blog.youkuaiyun.com/kun_coder/article/details/104898418</guid><author>kun_coder</author><pubDate>Mon, 16 Mar 2020 14:18:05 +0800</pubDate><description><![CDATA[带有背景的五列柱状图
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
import seaborn as sns

sns.set(color_codes=True)
mpl.rcParams["font.sans-serif"] = ["SimHei"]
mpl.rcParams["axes....]]></description><category></category></item><item><title><![CDATA[智能杯竞赛]]></title><link>https://blog.youkuaiyun.com/kun_coder/article/details/104898293</link><guid>https://blog.youkuaiyun.com/kun_coder/article/details/104898293</guid><author>kun_coder</author><pubDate>Mon, 16 Mar 2020 14:15:11 +0800</pubDate><description><![CDATA[智能杯竞赛，是一道数据分析处理的题目。题目后续更新。先上传一部分我做的工作。
task1.1
import pandas as pd
data = pd.read_csv('E:/data/附件1.csv', encoding="gbk")
#  在data中地点这列，选取含有字符串所在的所有行
dataA = data[data['地点'].isin(["A"])]
dataB = data[d...]]></description><category></category></item></channel></rss>