<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[吃饱了写的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/daiwoxuepython</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; daiwoxuepython]]></copyright><item><title><![CDATA[以node / link文件表征的道路网络-----基于南京公路公开数据做路径规划（下）------dijkstra算法的一些简单花样]]></title><link>https://blog.youkuaiyun.com/daiwoxuepython/article/details/141305093</link><guid>https://blog.youkuaiyun.com/daiwoxuepython/article/details/141305093</guid><author>daiwoxuepython</author><pubDate>Sun, 18 Aug 2024 21:04:42 +0800</pubDate><description><![CDATA[东北饺子要配卤猪蹄和凉拌土豆丝]]></description><category></category></item><item><title><![CDATA[以node / link文件表征的道路网络-----dijkstra算法yyds-----基于南京公路公开数据做路径规划（依然是中）------Python实现的注意事项]]></title><link>https://blog.youkuaiyun.com/daiwoxuepython/article/details/141286019</link><guid>https://blog.youkuaiyun.com/daiwoxuepython/article/details/141286019</guid><author>daiwoxuepython</author><pubDate>Sun, 18 Aug 2024 15:20:45 +0800</pubDate><description><![CDATA[葱油拌面，我大吃特吃！]]></description><category></category></item><item><title><![CDATA[以node / link文件表征的道路网络-----dijkstra算法yyds-----基于南京公路公开数据做路径规划（中）------Python实现]]></title><link>https://blog.youkuaiyun.com/daiwoxuepython/article/details/141285627</link><guid>https://blog.youkuaiyun.com/daiwoxuepython/article/details/141285627</guid><author>daiwoxuepython</author><pubDate>Sat, 17 Aug 2024 20:02:23 +0800</pubDate><description><![CDATA[你在shǒu shén mà？]]></description><category></category></item><item><title><![CDATA[以node / link文件表征的道路网络-----dijkstra算法yyds-----基于南京公路公开数据做路径规划（上）]]></title><link>https://blog.youkuaiyun.com/daiwoxuepython/article/details/141283269</link><guid>https://blog.youkuaiyun.com/daiwoxuepython/article/details/141283269</guid><author>daiwoxuepython</author><pubDate>Sat, 17 Aug 2024 19:41:26 +0800</pubDate><description><![CDATA[比起逆来顺受和坐以待毙，我们跌跌撞撞，走得慢些也是在走]]></description><category></category></item><item><title><![CDATA[以node / link文件表征的道路网络 ---- -如何在QGIS里直接增删外源导入的地理要素（点、线）并导出（续） -- 一些力大砖飞的笨环节 -- LOOKUP工具与excel骚操作]]></title><link>https://blog.youkuaiyun.com/daiwoxuepython/article/details/136711496</link><guid>https://blog.youkuaiyun.com/daiwoxuepython/article/details/136711496</guid><author>daiwoxuepython</author><pubDate>Thu, 14 Mar 2024 16:13:27 +0800</pubDate><description><![CDATA[快点，长颈鹿都快分出胜负啦]]></description><category></category></item><item><title><![CDATA[以node / link文件表征的道路网络 ----如何在QGIS里直接增删外源导入的地理要素（点、线）并导出]]></title><link>https://blog.youkuaiyun.com/daiwoxuepython/article/details/136678630</link><guid>https://blog.youkuaiyun.com/daiwoxuepython/article/details/136678630</guid><author>daiwoxuepython</author><pubDate>Thu, 14 Mar 2024 16:10:46 +0800</pubDate><description><![CDATA[什么好人对着地图傻笑啊]]></description><category></category></item><item><title><![CDATA[以node / link文件表征的道路网络 ----QGIS在本技术路线中的作用 + 筛选高速公路数据]]></title><link>https://blog.youkuaiyun.com/daiwoxuepython/article/details/136648970</link><guid>https://blog.youkuaiyun.com/daiwoxuepython/article/details/136648970</guid><author>daiwoxuepython</author><pubDate>Tue, 12 Mar 2024 17:18:56 +0800</pubDate><description><![CDATA[在小小的QGIS里挖呀挖呀挖]]></description><category></category></item><item><title><![CDATA[以node / link文件表征的道路网络 ----在QGIS里看见最基础的路网]]></title><link>https://blog.youkuaiyun.com/daiwoxuepython/article/details/136643416</link><guid>https://blog.youkuaiyun.com/daiwoxuepython/article/details/136643416</guid><author>daiwoxuepython</author><pubDate>Tue, 12 Mar 2024 10:51:28 +0800</pubDate><description><![CDATA[在NANKING的东北一角，
我和绕越高速，
都在奔跑。]]></description><category></category></item><item><title><![CDATA[关于栅格数据四兄弟-.osm文件、shp文件、node\link文件、json文件（下）]]></title><link>https://blog.youkuaiyun.com/daiwoxuepython/article/details/136615340</link><guid>https://blog.youkuaiyun.com/daiwoxuepython/article/details/136615340</guid><author>daiwoxuepython</author><pubDate>Mon, 11 Mar 2024 16:51:15 +0800</pubDate><description><![CDATA[万丈高楼平地起，数据还得靠运气]]></description><category></category></item><item><title><![CDATA[关于栅格数据四兄弟-.osm文件、shp文件、node\link文件、json文件（上）]]></title><link>https://blog.youkuaiyun.com/daiwoxuepython/article/details/136226598</link><guid>https://blog.youkuaiyun.com/daiwoxuepython/article/details/136226598</guid><author>daiwoxuepython</author><pubDate>Mon, 11 Mar 2024 09:38:23 +0800</pubDate><description><![CDATA[万丈高楼平地起 数据还得靠自己]]></description><category></category></item><item><title><![CDATA[NTB超级会员思路梳理（自用）]]></title><link>https://blog.youkuaiyun.com/daiwoxuepython/article/details/136211210</link><guid>https://blog.youkuaiyun.com/daiwoxuepython/article/details/136211210</guid><author>daiwoxuepython</author><pubDate>Wed, 21 Feb 2024 15:41:29 +0800</pubDate><description><![CDATA[在线备忘录]]></description><category></category></item><item><title><![CDATA[一种从OSM上获得区域路网数据的方法（以南京市为例）（一些自己看的细节）]]></title><link>https://blog.youkuaiyun.com/daiwoxuepython/article/details/136192072</link><guid>https://blog.youkuaiyun.com/daiwoxuepython/article/details/136192072</guid><author>daiwoxuepython</author><pubDate>Wed, 21 Feb 2024 12:40:16 +0800</pubDate><description><![CDATA[一些自己发现的小细节，主要是感谢大佬]]></description><category></category></item><item><title><![CDATA[一种从OSM上获得区域路网数据的方法（以南京市为例）（纯操作）]]></title><link>https://blog.youkuaiyun.com/daiwoxuepython/article/details/136182244</link><guid>https://blog.youkuaiyun.com/daiwoxuepython/article/details/136182244</guid><author>daiwoxuepython</author><pubDate>Tue, 20 Feb 2024 10:06:55 +0800</pubDate><description><![CDATA[这是一篇没有感情的看图说话]]></description><category></category></item><item><title><![CDATA[一种从OSM上获得区域路网数据的方法（以南京市为例）（铺垫）]]></title><link>https://blog.youkuaiyun.com/daiwoxuepython/article/details/136175001</link><guid>https://blog.youkuaiyun.com/daiwoxuepython/article/details/136175001</guid><author>daiwoxuepython</author><pubDate>Mon, 19 Feb 2024 22:56:44 +0800</pubDate><description><![CDATA[本人表述拖沓，写博客纯为打发时间，想看具体操作，直接看下一篇。]]></description><category></category></item><item><title><![CDATA[从地球、水准面、坐标系和平面地图说起]]></title><link>https://blog.youkuaiyun.com/daiwoxuepython/article/details/136152847</link><guid>https://blog.youkuaiyun.com/daiwoxuepython/article/details/136152847</guid><author>daiwoxuepython</author><pubDate>Mon, 19 Feb 2024 16:59:12 +0800</pubDate><description><![CDATA[做到哪儿算哪儿，做不出来也正常。]]></description><category></category></item><item><title><![CDATA[excel处理手撸OD矩阵技巧记录]]></title><link>https://blog.youkuaiyun.com/daiwoxuepython/article/details/125324757</link><guid>https://blog.youkuaiyun.com/daiwoxuepython/article/details/125324757</guid><author>daiwoxuepython</author><pubDate>Thu, 23 Mar 2023 21:47:46 +0800</pubDate><description><![CDATA[表示从D2 到 D7786，如果有值和 I2相同，那么就把第E列的对应值相加，结果放在 I2格中。OD对子之间有多组流量，例如 有两行均为起点在小区1，终点在小区58的流量数据。对于第 D列来说，只要内容相同，那么就把对应行的“路径流量”相加。我们要做的就是如果某几行的第一列相同，则把这几行的第二列相加。把同样起终点的流量相加，变为每行起终点不重复的OD矩阵。然后复制组合列，粘贴“值”，这样，就获得了以下的第一列。复制“组合”列，删除重复值，得到不重复的一列。第 E列和 第 J列的加和相同，所以没问题。]]></description><category></category></item><item><title><![CDATA[标题五个字]]></title><link>https://blog.youkuaiyun.com/daiwoxuepython/article/details/128600165</link><guid>https://blog.youkuaiyun.com/daiwoxuepython/article/details/128600165</guid><author>daiwoxuepython</author><pubDate>Sun, 08 Jan 2023 12:37:45 +0800</pubDate><description><![CDATA[调参时整理的调参原则，按道理应该这么调，但是程序不讲道理]]></description><category></category></item><item><title><![CDATA[mapbox+Python实现基于地图交互的交通数据可视化]]></title><link>https://blog.youkuaiyun.com/daiwoxuepython/article/details/125169616</link><guid>https://blog.youkuaiyun.com/daiwoxuepython/article/details/125169616</guid><author>daiwoxuepython</author><pubDate>Tue, 07 Jun 2022 18:02:45 +0800</pubDate><description><![CDATA[！！！mapbox做可视化不要钱，不用科学上网，还挺好看]]></description><category></category></item><item><title><![CDATA[有用的网站（持续更新）]]></title><link>https://blog.youkuaiyun.com/daiwoxuepython/article/details/109606697</link><guid>https://blog.youkuaiyun.com/daiwoxuepython/article/details/109606697</guid><author>daiwoxuepython</author><pubDate>Thu, 12 Nov 2020 14:35:16 +0800</pubDate><description><![CDATA[有用的网站]]></description><category></category></item><item><title><![CDATA[python笔记（二）一些有用的代码]]></title><link>https://blog.youkuaiyun.com/daiwoxuepython/article/details/109586523</link><guid>https://blog.youkuaiyun.com/daiwoxuepython/article/details/109586523</guid><author>daiwoxuepython</author><pubDate>Tue, 10 Nov 2020 20:28:09 +0800</pubDate><description><![CDATA[热力图 heatmap
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
from pylab import *
import matplotlib.cm as cm
from matplotlib.colors import LogNorm

一列数画图

df = df.pivot("hour", "minute", "rate")
ax = sns.heatmap(df,annot= False,fmt=]]></description><category></category></item></channel></rss>