<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>http://direct.ecency.com</link><image><url>http://direct.ecency.com/logo512.png</url><title>RSS Feed</title><link>http://direct.ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Thu, 09 Apr 2026 09:55:27 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/created/matplotlib/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Visualizing Pi and the Golden Ratio: Mathematical Art in Python]]></title><description><![CDATA[Today, I realized that while Pi has been turned into musical notes before, I’d never seen it represented as visual art. First try: first 64 digits, 500 steps So I decided to whip up a Python script that]]></description><link>http://direct.ecency.com/programming/@gamer00/visualizing-pi-and-the-golden</link><guid isPermaLink="true">http://direct.ecency.com/programming/@gamer00/visualizing-pi-and-the-golden</guid><category><![CDATA[programming]]></category><dc:creator><![CDATA[gamer00]]></dc:creator><pubDate>Tue, 05 Nov 2024 17:13:48 GMT</pubDate><enclosure url="https://images.ecency.com/p/3jpR3paJ37V8XPrHkfZdMt57jY6pRt6zEt5iRJV9pj4BJUq3ivJD2KgGMaqn4TCRjHuB6Z5Saai1ihogb647yoPhUojVezn1kuyqwS1xNWwfG4MxbAoFpqnzqp6YfctfitJRC?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[每天进步一点点：解决Matplotlib绘图中的几个问题]]></title><description><![CDATA[好多天前，分享了一下在电脑上运行自己十多年前写的代码，其核心就是使用Python+matplotlib绘图。matplotlib是一个非常强大的综合库，用于在 Python 中创建静态、动画和交互式可视化程序。 (图源 ：pixabay) 最近又把matplotlib找出来使用，不曾想却遇到几个问题（忘记N年前是如何解决的啦），经过一番学习和探索，总算把这几个拦路虎摆平啦，记录下来以免遗忘，也希望能帮到后来者。]]></description><link>http://direct.ecency.com/hive-105017/@oflyhigh/matplotlib</link><guid isPermaLink="true">http://direct.ecency.com/hive-105017/@oflyhigh/matplotlib</guid><category><![CDATA[hive-105017]]></category><dc:creator><![CDATA[oflyhigh]]></dc:creator><pubDate>Sat, 04 Nov 2023 09:54:51 GMT</pubDate><enclosure url="https://images.ecency.com/p/PB8ro82ZpZP35bVGjGoE93K3E4U5KX8KtMBJ2rgQjd4aDdHdqC2qZ2TtJxkhzZWRJAJfoJFdUYPe2GDwHCam5RU5zq6uJ4Q9gykddfgENWLf7Qra?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Colorblind Correction - Dublin + Python  1]]></title><description><![CDATA[} I took this picture in Dublin in 2013. I was on a business trip. I really like this picture. Dublin is normally green when I travel there. I happen to catch brown and orange leaves on the tree. The images]]></description><link>http://direct.ecency.com/photo/@epearson/colorblind-correction-dublin-python-1</link><guid isPermaLink="true">http://direct.ecency.com/photo/@epearson/colorblind-correction-dublin-python-1</guid><category><![CDATA[photo]]></category><dc:creator><![CDATA[epearson]]></dc:creator><pubDate>Wed, 31 Mar 2021 03:12:15 GMT</pubDate><enclosure url="https://images.ecency.com/p/Zskj9C56UonZ32EJw6nMctrTQ6kTQ3swaDmbMFvFTALCEyksJmeXRXLBeY7i7WC3e2gh1kxaa4acJFp8i76tyhzke5r4Pqj4FvyjUKS875o6nfk3csgJ?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[在香蕉派(Banana Pi)M3上安装matplotlib]]></title><description><![CDATA[打算在香蕉派(Banana Pi)M3上用一下matplotlib，执行安装指令后，出了一大堆错误，安装也没有成功。 安装出错 安装指令如下(virtualenv下)： pip install matplotlib 随便截取一些出错内容： 看提示信息，主要是在编译numpy时候出错。 解决办法 在numpy的官方github上找到一个反应相同问题的issue: Failed to build v1.17.0]]></description><link>http://direct.ecency.com/cn/@oflyhigh/banana-pi-m3-matplotlib</link><guid isPermaLink="true">http://direct.ecency.com/cn/@oflyhigh/banana-pi-m3-matplotlib</guid><category><![CDATA[cn]]></category><dc:creator><![CDATA[oflyhigh]]></dc:creator><pubDate>Wed, 25 Sep 2019 00:08:48 GMT</pubDate><enclosure url="https://images.ecency.com/p/C3TZR1g81UNaPs7vzNXHueW5ZM76DSHWEY7onmfLxcK2iPdvoD91sKhz4rNC4baRfTQGzoH17gCE3yJ3guhqC9j6ko7nqTqirFJeRuDxwW8ERSXmpgGrj8r?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Plotting all integer lattice paths from (0,0) to (3,5)]]></title><description><![CDATA[If you start at (0,0) and can take one step at a time either north (0,+1) or east (+1,0), how many different ways are there to get to (3,5)? I wanted to augment this answer on Quora with a visual]]></description><link>http://direct.ecency.com/python/@markgritter/plotting-all-integer-lattice-paths-from-0-0-to-3-5</link><guid isPermaLink="true">http://direct.ecency.com/python/@markgritter/plotting-all-integer-lattice-paths-from-0-0-to-3-5</guid><category><![CDATA[python]]></category><dc:creator><![CDATA[markgritter]]></dc:creator><pubDate>Mon, 26 Nov 2018 05:45:15 GMT</pubDate><enclosure url="https://images.ecency.com/p/2r8F9rTBenJQfQgENfxADE6EVYabczqmSF5KeWefV5WL9WBNNKeLfmYW5eLBJszsvhkSwRG4f4fD2e39VhLYUSJMhY1MRUdNARFuM1cn6UeGz94xqDepPEjYKtFyKGGHt?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[요즘 공부하고 있는 모듈이 파이썬에 내장되어 있는 tkinter입니다.]]></title><description><![CDATA[지난주와 이번주 계속 자료를 수집하고 책을 보고 있습니다. 파이썬에서 tkinter모듈을 사용하면 파이썬으로 연산한 결과를 바로 GUI기반으로 다듬을 수 있습니다. 매우 쉽고 재미있는 모듈입니다. 실행파일로 만들어서 바로 배포를 한다면 웹크롤링한 자료를 matplotlib로 차트를 그려서 tkinter모듈로 GUI를 입히면 가능해 보입니다. ^^ ''']]></description><link>http://direct.ecency.com/kr/@papasmf1/tkinter</link><guid isPermaLink="true">http://direct.ecency.com/kr/@papasmf1/tkinter</guid><category><![CDATA[kr]]></category><dc:creator><![CDATA[papasmf1]]></dc:creator><pubDate>Fri, 12 Oct 2018 07:40:30 GMT</pubDate><enclosure url="https://images.ecency.com/p/JvFFVmatwWHRfvmtd53nmEJ94xpKydwmbSC5H5svBACH7z1McMEinjtkkPjNpVvbnaSGTZAqkyQmCo6ACgiuuEn4BwCXxR8ECYnLZvcbwtSzAHz1dWqyGMFnTymof4ekJgMg7yCLzS?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Bigrams in SOWPODS]]></title><description><![CDATA["Bigrams" = two-letter combinations "SOWPODS" = a Scrabble word list (SOWPODS is the list I keep around for playing around with word algorithms or solving puzzles, because I could get]]></description><link>http://direct.ecency.com/visualization/@markgritter/bigrams-in-sowpods</link><guid isPermaLink="true">http://direct.ecency.com/visualization/@markgritter/bigrams-in-sowpods</guid><category><![CDATA[visualization]]></category><dc:creator><![CDATA[markgritter]]></dc:creator><pubDate>Sat, 22 Sep 2018 07:55:42 GMT</pubDate><enclosure url="https://images.ecency.com/p/3jpR3paJ37V8JxyWvtbhvcm5k3roJwHBR4WTALx7XaoRovTNoKvHx8qBXXDDdpqaFHy4GgxJviGoW1MSECcJtzFR8WCLB8ZuVM4tUHwwV3LCh7K8ohnNP8XBhBzDqAXmJkqZY?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Intro to Data Analysis / Visualization with Python, Matplotlib and Pandas | Matplotlib Tutorial!]]></title><description><![CDATA[This is a great channel for beginners in data analysis using Python ! These are some of the points the tutorial covers : 1- Why data visualization? 2- Why Python? 3- Why Matplotlib? 4- Installing Jupyter]]></description><link>http://direct.ecency.com/python/@datatreemap/intro-to-data-analysis-visualization-with-python-matplotlib-and-pandas-or-matplotlib-tutorial</link><guid isPermaLink="true">http://direct.ecency.com/python/@datatreemap/intro-to-data-analysis-visualization-with-python-matplotlib-and-pandas-or-matplotlib-tutorial</guid><category><![CDATA[python]]></category><dc:creator><![CDATA[datatreemap]]></dc:creator><pubDate>Thu, 21 Jun 2018 11:17:24 GMT</pubDate><enclosure url="https://images.ecency.com/p/S5Eokt4BcQdk7EHeT1aYjzebg2hC7hkthT45eF6PNRW17PXsRkLThbBN2YrqjGgipuaQPgJ?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Makine öğrenmesi]]></title><description><![CDATA[Machine Learning ve Python Python veri analizi için mükemmel bir dildir çünkü mevcut olan binerce paket sayesinde veri analistler ve geliştiriciler için en iyi seçimdir. Machine learning için ihtiyacımız]]></description><link>http://direct.ecency.com/coogger/@baristutakli/makine-ogrenmesi</link><guid isPermaLink="true">http://direct.ecency.com/coogger/@baristutakli/makine-ogrenmesi</guid><category><![CDATA[coogger]]></category><dc:creator><![CDATA[baristutakli]]></dc:creator><pubDate>Wed, 16 May 2018 18:49:24 GMT</pubDate><enclosure url="https://images.ecency.com/p/8SzwQbWfyX9efn6wGBMfKPW44nRB29WgMPAEYvAbwkyCwXKcbBhM2EzvaKjqFqxJzd6bX78B8up97Hawi7WDd6YF1hSpcbiBPT9bBcpHP3RsnjDEcrS?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[[Matplotlib] 10. Plot Accessary: Color Map (part2) + Color Bar]]></title><description><![CDATA[10. Plot Accessary: Color Map (part2) + Color Bar 이번 편에서는 ColorBar 색봉과 함께 색지도를 정규화하는 방법에 대하여 알아보겠습니다. 10.1 ColorBar() Color Bar 색봉은 색과 그 색에 해당하는 값을 알려주는 일종의 Legend 레전드입니다.]]></description><link>http://direct.ecency.com/kr-python/@dj-on-steem/matplotlib-10-plot-accessary-color-map-part2-color-bar</link><guid isPermaLink="true">http://direct.ecency.com/kr-python/@dj-on-steem/matplotlib-10-plot-accessary-color-map-part2-color-bar</guid><category><![CDATA[kr-python]]></category><dc:creator><![CDATA[dj-on-steem]]></dc:creator><pubDate>Wed, 11 Apr 2018 14:41:12 GMT</pubDate><enclosure url="https://images.ecency.com/p/2gsjgna1uruvUuS7ndh9YqVwYGPLVszbFLwwpAYXZ5rp96hvJxPcNUMbX63igGXDRfnVLhyda4VT3eJoqyn3vgNFveaTjHEHrEJVmjHAhqH2qXTvSS?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[[Matplotlib] 09. Plot Accessary: Color Map (part1)]]></title><description><![CDATA[09. Plot Accessary: Color Map (part1) 전편에서 다뤘던 imshow()와 같은 2차원 시각화 기능에서 가장 중요한 요소중에 하나는 역시 색깔의 적절한 선택이겠죠. Matplotlib에는 여러 종류의 Color Map이 내장되어있어, 원하는 종류를 골라 쓰면 되겠습니다. 현재 내재된 색지도는 아래 사이트에서 확인하실 수 있습니다.]]></description><link>http://direct.ecency.com/kr-python/@dj-on-steem/matplotlib-09-plot-accessary-color-map-part1</link><guid isPermaLink="true">http://direct.ecency.com/kr-python/@dj-on-steem/matplotlib-09-plot-accessary-color-map-part1</guid><category><![CDATA[kr-python]]></category><dc:creator><![CDATA[dj-on-steem]]></dc:creator><pubDate>Fri, 06 Apr 2018 19:09:45 GMT</pubDate><enclosure url="https://images.ecency.com/p/2gsjgna1uruvUuS7ndh9YqVwYGPLVszbFLwwpAYXZ5rp96hvJxPcNUMbX63igGXDRfnVLhyda4VT3eJoqyn3vgNFveaTjHEHrEJVmjHAhqH2qXTvSS?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[使用Python爬取网站数据分析]]></title><description><![CDATA[玩Chat分享有一段时间了，回过头来看看从数据爬取（如何用 Python 爬取网页制作电子书）、前后端（用 Kotlin 开发 SpringBoot 之 Data JPA、使用 Angular2+ 开发 Markdown 编辑器）、到开发语言（TypeScript 快速入门）都有涉及。但我们在分享一场 Chat 的时候，有没有思考过： 哪类 Chat 最受欢迎？ 哪类 Chat 作者最多？ 发布 Chat]]></description><link>http://direct.ecency.com/python/@sunsi/5buejt-python</link><guid isPermaLink="true">http://direct.ecency.com/python/@sunsi/5buejt-python</guid><category><![CDATA[python]]></category><dc:creator><![CDATA[sunsi]]></dc:creator><pubDate>Wed, 04 Apr 2018 05:53:51 GMT</pubDate><enclosure url="https://images.ecency.com/p/2FFvzA2zeqoVZ5NRzV2o8MyJEzowAL6rjbt8w3dTGt7BdWYg2Qd4RN6R39QRZizDNG7mj6CfjV7RWmkHqLga8FG76AqJ5H583hFfP64FzLLtAK3STPQj1qt22q3Pt?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[[Matplotlib] 08. Plot Main: Imshow]]></title><description><![CDATA[08. Plot Main: Imshow() 전편의 plot() 함수가 선을 그어주는 함수라면, imshow()는 2차원 데이타를 평면에 색깔을 이용하여 그려주는 함수입니다. Axes.imshow(X, cmap=None, norm=None, aspect=None, interpolation=None, alpha=None, vmin=None, vmax=None,]]></description><link>http://direct.ecency.com/kr-dev/@dj-on-steem/matplotlib-08-plot-main-imshow</link><guid isPermaLink="true">http://direct.ecency.com/kr-dev/@dj-on-steem/matplotlib-08-plot-main-imshow</guid><category><![CDATA[kr-dev]]></category><dc:creator><![CDATA[dj-on-steem]]></dc:creator><pubDate>Mon, 26 Mar 2018 15:47:48 GMT</pubDate><enclosure url="https://images.ecency.com/p/2gsjgna1uruvUuS7ndh9YqVwYGPLVszbFLwwpAYXZ5rp96hvJxPcNUMbX63igGXDRfnVLhyda4VT3eJoqyn3vgNFveaTjHEHrEJVmjHAhqH2qXTvSS?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Create Line Graph In Python Using Matplotlib]]></title><description><![CDATA[What Will I Learn? We can create 2D graphs using matplotlib in python. In this tutorial we will be learning all basic syntax to create a line graph. Because the starting point of matoplotlib is line graph.]]></description><link>http://direct.ecency.com/utopian-io/@kverma/create-line-graph-in-python-using-matplotlib</link><guid isPermaLink="true">http://direct.ecency.com/utopian-io/@kverma/create-line-graph-in-python-using-matplotlib</guid><category><![CDATA[utopian-io]]></category><dc:creator><![CDATA[kverma]]></dc:creator><pubDate>Sun, 25 Mar 2018 17:33:00 GMT</pubDate><enclosure url="https://images.ecency.com/p/3W72119s5BjWMGm4Xa2MvD5AT2bJsSA8F9WeC71v1s1fKfGkK9mMKuc3LcvF4KigbWg9UsrpEPZ2NGWiL6LE5aorasFV9rpfR8TZsr8xEd8QegFNLXj246?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[[Matplotlib] 07. Plot Main: Plot()]]></title><description><![CDATA[07. Plot Main: Plot() 사실 그동안 예제 프로그램에서 계속 써왔던 함수, plot()에 대하여 짚고 넘어가 보도록 하겠습니다 . Axes.plot(*args, data=None, **kwargs) 플롯 함수는 주어진 x와 y값에 대하여 직선 혹은 마커를 표시해줍니다. 위 웹페이지에 나와 있듯이, 간단한 사용법은 다음과 같습니다. plot([x],]]></description><link>http://direct.ecency.com/kr-dev/@dj-on-steem/matplotlib-07-plot-main-plot</link><guid isPermaLink="true">http://direct.ecency.com/kr-dev/@dj-on-steem/matplotlib-07-plot-main-plot</guid><category><![CDATA[kr-dev]]></category><dc:creator><![CDATA[dj-on-steem]]></dc:creator><pubDate>Tue, 20 Mar 2018 18:37:00 GMT</pubDate><enclosure url="https://images.ecency.com/p/2gsjgna1uruvUuS7ndh9YqVwYGPLVszbFLwwpAYXZ5rp96hvJxPcNUMbX63igGXDRfnVLhyda4VT3eJoqyn3vgNFveaTjHEHrEJVmjHAhqH2qXTvSS?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[[Matplotlib] 06. Plot Accessories: Legend]]></title><description><![CDATA[06. Legend 도표의 정보를 정확히 전달하기 위하여 레전드의 사용은 필수적이죠. 레전드를 표시하는 명령어는 matplotlib.pyplot.legend(*args, **kwargs)입니다. 위 웹사이트에 나와 있듯이, 레전드를 이용하는 가장 간단한 방법은 다음과 같습니다. line = ax.plot([1, 2, 3], label='label1') ax.legend()]]></description><link>http://direct.ecency.com/kr-dev/@dj-on-steem/matplotlib-06-plot-accessories-legend</link><guid isPermaLink="true">http://direct.ecency.com/kr-dev/@dj-on-steem/matplotlib-06-plot-accessories-legend</guid><category><![CDATA[kr-dev]]></category><dc:creator><![CDATA[dj-on-steem]]></dc:creator><pubDate>Tue, 13 Mar 2018 15:05:15 GMT</pubDate><enclosure url="https://images.ecency.com/p/2gsjgna1uruvUuS7ndh9YqVwYGPLVszbFLwwpAYXZ5rp96hvJxPcNUMbX63igGXDRfnVLhyda4VT3eJoqyn3vgNFveaTjHEHrEJVmjHAhqH2qXTvSS?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[[Matplotlib] 05. Plot Accessories: Grid and Supporting Lines]]></title><description><![CDATA[05. Plot Accessories: Grid and Supporting Lines 도표를 돋보이게 하는 격자선과 보조선에 대해 알아보겠습니다. 먼저 이번 편의 기본이 되는 코드를 보시겠습니다. import sys import numpy as np import matplotlib.pyplot as plt from matplotlib.ticker import]]></description><link>http://direct.ecency.com/kr-dev/@dj-on-steem/matplotlib-05-plot-accessories-grid-and-supporting-lines</link><guid isPermaLink="true">http://direct.ecency.com/kr-dev/@dj-on-steem/matplotlib-05-plot-accessories-grid-and-supporting-lines</guid><category><![CDATA[kr-dev]]></category><dc:creator><![CDATA[dj-on-steem]]></dc:creator><pubDate>Wed, 07 Mar 2018 21:55:03 GMT</pubDate><enclosure url="https://images.ecency.com/p/2gsjgna1uruvUuS7ndh9YqVwYGPLVszbFLwwpAYXZ5rp96hvJxPcNUMbX63igGXDRfnVLhyda4VT3eJoqyn3vgNFveaTjHEHrEJVmjHAhqH2qXTvSS?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[How to build Thermodynamic Cycle with PYroMat ?]]></title><description><![CDATA[Introduction       PYroMat is an open source program that provides us with thermodynamic properties in Python. PYroMat; used to obtain the thermodynamic properties of materials from the command line or]]></description><link>http://direct.ecency.com/utopian-io/@emirfirlar/how-to-build-thermodynamic-cycle-with-pyromat</link><guid isPermaLink="true">http://direct.ecency.com/utopian-io/@emirfirlar/how-to-build-thermodynamic-cycle-with-pyromat</guid><category><![CDATA[utopian-io]]></category><dc:creator><![CDATA[emirfirlar]]></dc:creator><pubDate>Wed, 28 Feb 2018 15:49:45 GMT</pubDate><enclosure url="https://images.ecency.com/p/2bP4pJr4wVin2EnM34x6WGzG9FGyi9UB618tNoPfCTg?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[[Matplotlib] 04. Axes Setup: Ticks and Tick Labels]]></title><description><![CDATA[""" 제 개인적 목표는 Object-Oriented Programming과 친해지기 Github와 친해지기 입니다. 이 목표에 닿기 위해 일단 제가 나름 좀 아는 Python, 그 중에서도 Numpy와 Matplotlib로부터 시작하려 합니다. """ 04. Axes Setup: Ticks and Tick]]></description><link>http://direct.ecency.com/kr-dev/@dj-on-steem/matplotlib-04-axes-setup-ticks-and-tick-labels</link><guid isPermaLink="true">http://direct.ecency.com/kr-dev/@dj-on-steem/matplotlib-04-axes-setup-ticks-and-tick-labels</guid><category><![CDATA[kr-dev]]></category><dc:creator><![CDATA[dj-on-steem]]></dc:creator><pubDate>Tue, 27 Feb 2018 20:53:48 GMT</pubDate><enclosure url="https://images.ecency.com/p/2gsjgna1uruvUuS7ndh9YqVwYGPLVszbFLwwpAYXZ5rp96hvJxPcNUMbX63igGXDRfnVLhyda4VT3eJoqyn3vgNFveaTjHEHrEJVmjHAhqH2qXTvSS?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Build Three Dimensional Plotting With Matplotlib]]></title><description><![CDATA[Introduction      Matplotlib is an open-source Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. Matplotlib]]></description><link>http://direct.ecency.com/utopian-io/@emirfirlar/build-three-dimensional-plotting-with-matplotlib</link><guid isPermaLink="true">http://direct.ecency.com/utopian-io/@emirfirlar/build-three-dimensional-plotting-with-matplotlib</guid><category><![CDATA[utopian-io]]></category><dc:creator><![CDATA[emirfirlar]]></dc:creator><pubDate>Mon, 26 Feb 2018 00:56:21 GMT</pubDate><enclosure url="https://images.ecency.com/p/BRWJ2YmdUFozvhwSFQrg1spuJUVee6evEnFKKPv8MwgDQ2za?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>