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<?xml-stylesheet type="text/xsl" href="assets/xml/rss.xsl" media="all"?><rss xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0"><channel><title>FinanceData</title><link>https://financedata.github.com/</link><description>Automate financial data collection and analysis</description><atom:link type="application/rss+xml" rel="self" href="https://financedata.github.com/rss.xml"></atom:link><language>ko</language><lastBuildDate>Sat, 20 Oct 2018 07:35:33 GMT</lastBuildDate><generator>Nikola (getnikola.com)</generator><docs>http://blogs.law.harvard.edu/tech/rss</docs><item><title>FinanceDataReader 사용자 안내서</title><link>https://financedata.github.com/posts/finance-data-reader-users-guide.html</link><dc:creator>plusjune</dc:creator><description>&lt;div tabindex="-1" id="notebook" class="border-box-sizing"&gt;
    &lt;div class="container" id="notebook-container"&gt;

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&lt;h2 id="FinanceDataReader-사용자-안내서"&gt;FinanceDataReader 사용자 안내서&lt;a class="anchor-link" href="https://financedata.github.com/posts/finance-data-reader-users-guide.html#FinanceDataReader-%EC%82%AC%EC%9A%A9%EC%9E%90-%EC%95%88%EB%82%B4%EC%84%9C"&gt;¶&lt;/a&gt;&lt;/h2&gt;&lt;p&gt;&lt;img src="https://i.imgur.com/r0YE5Xs.png"&gt;&lt;/p&gt;
&lt;p&gt;한국 주식 가격, 미국주식 가격, 지수, 환율, 암호화폐 가격, 종목 리스팅 등 금융 데이터 수집 라이브러리&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="https://financedata.github.com/posts/finance-data-reader-users-guide.html"&gt;더 읽기…&lt;/a&gt; (읽기 8분 남음.)&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><category>docs</category><category>FinanceDataReader</category><guid>https://financedata.github.com/posts/finance-data-reader-users-guide.html</guid><pubDate>Thu, 17 May 2018 05:00:16 GMT</pubDate></item><item><title>마켓 데이터 크롤링 - 개별주식 가격 데이터 (morningstar)</title><link>https://financedata.github.com/posts/price_data_morningstar.html</link><dc:creator>plusjune</dc:creator><description>&lt;div tabindex="-1" id="notebook" class="border-box-sizing"&gt;
    &lt;div class="container" id="notebook-container"&gt;

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&lt;h2 id="마켓-데이터-크롤링---개별주식-가격-데이터-(morningstar)"&gt;마켓 데이터 크롤링 - 개별주식 가격 데이터 (morningstar)&lt;a class="anchor-link" href="https://financedata.github.com/posts/price_data_morningstar.html#%EB%A7%88%EC%BC%93-%EB%8D%B0%EC%9D%B4%ED%84%B0-%ED%81%AC%EB%A1%A4%EB%A7%81---%EA%B0%9C%EB%B3%84%EC%A3%BC%EC%8B%9D-%EA%B0%80%EA%B2%A9-%EB%8D%B0%EC%9D%B4%ED%84%B0-(morningstar)"&gt;¶&lt;/a&gt;&lt;/h2&gt;&lt;p&gt;&lt;img src="http://i.imgur.com/grQHNKG.jpg"&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;개별 종목 가격 데이터: 야후 파이낸스, 구글 파이낸스 대체 &lt;/li&gt;
&lt;li&gt;pandas_datareader + morningstar&lt;/li&gt;
&lt;li&gt;MultiIndex 가격 데이터와 차트 그리기&lt;/li&gt;
&lt;/ul&gt;
&lt;h4 id="2018-FinanceData-http://fb.com/financedata"&gt;2018 FinanceData &lt;a href="http://fb.com/financedata"&gt;http://fb.com/financedata&lt;/a&gt;&lt;a class="anchor-link" href="https://financedata.github.com/posts/price_data_morningstar.html#2018-FinanceData-http://fb.com/financedata"&gt;¶&lt;/a&gt;&lt;/h4&gt;&lt;p&gt;&lt;a href="https://financedata.github.com/posts/price_data_morningstar.html"&gt;더 읽기…&lt;/a&gt; (읽기 3분 남음.)&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><category>morningstar</category><category>pandas-datareader</category><category>price</category><category>stock</category><guid>https://financedata.github.com/posts/price_data_morningstar.html</guid><pubDate>Fri, 27 Apr 2018 14:15:10 GMT</pubDate></item><item><title>Matplotlib + 한글</title><link>https://financedata.github.com/posts/matplotlib-hangul.html</link><dc:creator>plusjune</dc:creator><description>&lt;div&gt;&lt;h3&gt;Matplotlib 에서 한글 사용하기&lt;/h3&gt;
&lt;p&gt;Matplotlib 에서는 모든 TTF 폰트를 모두 사용할 수 있습니다. 다음과 같은 내용을 환경 별로 정리하였습니다.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;개별 TTF폰트를 지정하여 사용하는 방법&lt;/li&gt;
&lt;li&gt;전역으로 사용하는 방법&lt;/li&gt;
&lt;li&gt;새로운 폰트를 Matplotlib 에 추가하는 방법&lt;/li&gt;
&lt;li&gt;사용가능한 TTF 폰트 목록을 얻는 방법&lt;/li&gt;
&lt;/ul&gt;
&lt;h3&gt;환경(운영체제)별 한글&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a href="https://financedata.github.io/posts/matplotlib-hangul-for-windows-anaconda.html"&gt;Matplotlib + 한글 (Windows 아나콘다)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="https://financedata.github.io/posts/matplotlib-hangul-for-ubuntu-linux.html"&gt;Matplotlib + 한글 (Ubuntu Linux)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="https://financedata.github.io/posts/matplotlib-hangul-for-ubuntu-linux.html"&gt;Matplotlib + 한글 (OSX)&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;hr&gt;
&lt;h5&gt;2018 FinanceData.KR &lt;a href="https://financedata.github.com/posts/matplotlib-hangul.html"&gt;http://fb.com/financedata&lt;/a&gt;&lt;/h5&gt;&lt;/div&gt;</description><category>hangul</category><category>matplotlib</category><category>python</category><category>visualization</category><guid>https://financedata.github.com/posts/matplotlib-hangul.html</guid><pubDate>Sat, 21 Apr 2018 07:10:10 GMT</pubDate></item><item><title>Matplotlib + 한글 (Windows 아나콘다)</title><link>https://financedata.github.com/posts/matplotlib-hangul-for-windows-anaconda.html</link><dc:creator>plusjune</dc:creator><description>&lt;div tabindex="-1" id="notebook" class="border-box-sizing"&gt;
    &lt;div class="container" id="notebook-container"&gt;

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&lt;h2 id="Matplotlib-+-한글-(Windows-아나콘다)"&gt;Matplotlib + 한글 (Windows 아나콘다)&lt;a class="anchor-link" href="https://financedata.github.com/posts/matplotlib-hangul-for-windows-anaconda.html#Matplotlib-+-%ED%95%9C%EA%B8%80-(Windows-%EC%95%84%EB%82%98%EC%BD%98%EB%8B%A4)"&gt;¶&lt;/a&gt;&lt;/h2&gt;&lt;p&gt;&lt;img src="http://i.imgur.com/Kvx2GHB.png"&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;matplotlib 텍스트 출력시 폰트 특성을 지정 (FontProperties)&lt;/li&gt;
&lt;li&gt;matplotlib 전역으로 한글 글꼴 지정(rcParams)&lt;/li&gt;
&lt;li&gt;사용가능한 폰트 확인, TTF 폰트 설치 방법&lt;/li&gt;
&lt;/ul&gt;
&lt;h4 id="2018-FinanceData.KR-http://fb.com/financedata"&gt;2018 FinanceData.KR &lt;a href="https://financedata.github.com/posts/matplotlib-hangul-for-windows-anaconda.html"&gt;http://fb.com/financedata&lt;/a&gt;&lt;a class="anchor-link" href="https://financedata.github.com/posts/matplotlib-hangul-for-windows-anaconda.html#2018-FinanceData.KR-http://fb.com/financedata"&gt;¶&lt;/a&gt;&lt;/h4&gt;&lt;p&gt;&lt;a href="https://financedata.github.com/posts/matplotlib-hangul-for-windows-anaconda.html"&gt;더 읽기…&lt;/a&gt; (읽기 5분 남음.)&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><category>matplotlib</category><category>Windows</category><category>아나콘다</category><category>한글</category><guid>https://financedata.github.com/posts/matplotlib-hangul-for-windows-anaconda.html</guid><pubDate>Thu, 19 Apr 2018 17:45:10 GMT</pubDate></item><item><title>[PY4E] 모두를 위한 프로그래밍 : 파이썬</title><link>https://financedata.github.com/posts/py4e-python-for-everyone.html</link><dc:creator>plusjune</dc:creator><description>&lt;div&gt;&lt;h2&gt;[PY4E] 모두를 위한 프로그래밍 : 파이썬&lt;/h2&gt;
&lt;h4&gt;&lt;a href="http://www.edwith.org/pythonforeverybody"&gt;http://www.edwith.org/pythonforeverybody&lt;/a&gt;&lt;/h4&gt;
&lt;p&gt;&lt;a href="http://www.edwith.org/pythonforeverybody"&gt;
&lt;img width="50%" src="https://i.imgur.com/U7tMQe1.jpg"&gt; &lt;/a&gt;&lt;/p&gt;
&lt;p&gt;전 세계 100만명이 수강한 미시건 대학의 찰스 세이블런 교수님의 파이썬 강의(한국어 자막)가 오픈했습니다. 모두 무료입니다. 
&lt;/p&gt;&lt;p&gt;&lt;a href="https://financedata.github.com/posts/py4e-python-for-everyone.html"&gt;더 읽기…&lt;/a&gt; (읽기 1분 남음.)&lt;/p&gt;&lt;/div&gt;</description><category>py4e</category><category>python</category><guid>https://financedata.github.com/posts/py4e-python-for-everyone.html</guid><pubDate>Wed, 18 Apr 2018 14:15:01 GMT</pubDate></item><item><title>부동산 - 스타벅스 매장 데이터와 지도</title><link>https://financedata.github.com/posts/python_starbucks_map.html</link><dc:creator>plusjune</dc:creator><description>&lt;div tabindex="-1" id="notebook" class="border-box-sizing"&gt;
    &lt;div class="container" id="notebook-container"&gt;

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&lt;h2 id="파이썬-X-스타벅스-매장-데이터와-지도"&gt;파이썬 X 스타벅스 매장 데이터와 지도&lt;a class="anchor-link" href="https://financedata.github.com/posts/python_starbucks_map.html#%ED%8C%8C%EC%9D%B4%EC%8D%AC-X-%EC%8A%A4%ED%83%80%EB%B2%85%EC%8A%A4-%EB%A7%A4%EC%9E%A5-%EB%8D%B0%EC%9D%B4%ED%84%B0%EC%99%80-%EC%A7%80%EB%8F%84"&gt;¶&lt;/a&gt;&lt;/h2&gt;&lt;p&gt;&lt;img src="https://i.imgur.com/ik6NVEo.png"&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;requests 위치 데이터 가져오기&lt;/li&gt;
&lt;li&gt;json_normalize(): JSON 데이터 DataFrame으로 전환&lt;/li&gt;
&lt;li&gt;folium 을 사용하여 지도에 위치 표시&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;a href="https://financedata.github.com/posts/python_starbucks_map.html"&gt;더 읽기…&lt;/a&gt; (읽기 7분 남음.)&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><category>map</category><category>python</category><category>starbucks</category><guid>https://financedata.github.com/posts/python_starbucks_map.html</guid><pubDate>Thu, 05 Apr 2018 17:30:10 GMT</pubDate></item><item><title>파이썬 뉴스 텍스트 워드 클라우드</title><link>https://financedata.github.com/posts/python_news_cloud_text.html</link><dc:creator>plusjune</dc:creator><description>&lt;div tabindex="-1" id="notebook" class="border-box-sizing"&gt;
    &lt;div class="container" id="notebook-container"&gt;

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&lt;h2 id="파이썬-뉴스-텍스트-워드-클라우드"&gt;파이썬 뉴스 텍스트 워드 클라우드&lt;a class="anchor-link" href="https://financedata.github.com/posts/python_news_cloud_text.html#%ED%8C%8C%EC%9D%B4%EC%8D%AC-%EB%89%B4%EC%8A%A4-%ED%85%8D%EC%8A%A4%ED%8A%B8-%EC%9B%8C%EB%93%9C-%ED%81%B4%EB%9D%BC%EC%9A%B0%EB%93%9C"&gt;¶&lt;/a&gt;&lt;/h2&gt;&lt;p&gt;&lt;img src="https://i.imgur.com/jd1VoSE.png"&gt;&lt;/p&gt;
&lt;h4 id="2018-http://financedata.kr"&gt;2018 &lt;a href="http://financedata.kr"&gt;http://financedata.kr&lt;/a&gt;&lt;a class="anchor-link" href="https://financedata.github.com/posts/python_news_cloud_text.html#2018-http://financedata.kr"&gt;¶&lt;/a&gt;&lt;/h4&gt;&lt;p&gt;&lt;a href="https://financedata.github.com/posts/python_news_cloud_text.html"&gt;더 읽기…&lt;/a&gt; (읽기 5분 남음.)&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><category>mining</category><category>news</category><category>python</category><category>text</category><guid>https://financedata.github.com/posts/python_news_cloud_text.html</guid><pubDate>Sat, 10 Mar 2018 01:30:10 GMT</pubDate></item><item><title>발틱운임지수(BDI)와 해양운송업</title><link>https://financedata.github.com/posts/bdi_index.html</link><dc:creator>plusjune</dc:creator><description>&lt;div tabindex="-1" id="notebook" class="border-box-sizing"&gt;
    &lt;div class="container" id="notebook-container"&gt;

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&lt;h2 id="발틱운임지수(BDI)와--해양운송업(팬오션,-대한해운)"&gt;발틱운임지수(BDI)와  해양운송업(팬오션, 대한해운)&lt;a class="anchor-link" href="https://financedata.github.com/posts/bdi_index.html#%EB%B0%9C%ED%8B%B1%EC%9A%B4%EC%9E%84%EC%A7%80%EC%88%98(BDI)%EC%99%80--%ED%95%B4%EC%96%91%EC%9A%B4%EC%86%A1%EC%97%85(%ED%8C%AC%EC%98%A4%EC%85%98,-%EB%8C%80%ED%95%9C%ED%95%B4%EC%9A%B4)"&gt;¶&lt;/a&gt;&lt;/h2&gt;&lt;p&gt;해양운송업은 발틱운임지수(BDI)와 밀접한 관련이 있다. pandas_datareader을 사용하여 해양운송업의 두 종목의 가격과 BDI 데이터를 가져와 차트로 확인하고 상관계수도 구해본다.&lt;/p&gt;
&lt;p&gt;&lt;img src="http://img.hankyung.com/photo/201605/AA.11652791.1.jpg"&gt;
이미지출처: (한국경제) &lt;a href="https://goo.gl/iFgU4m"&gt;https://goo.gl/iFgU4m&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="https://financedata.github.com/posts/bdi_index.html"&gt;더 읽기…&lt;/a&gt; (읽기 4분 남음.)&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><category>Baltic Dry Index</category><category>BDI</category><guid>https://financedata.github.com/posts/bdi_index.html</guid><pubDate>Fri, 09 Mar 2018 13:30:10 GMT</pubDate></item><item><title>국제 상품 가격 데이터 가져오기</title><link>https://financedata.github.com/posts/global-commodity-price.html</link><dc:creator>plusjune</dc:creator><description>&lt;div tabindex="-1" id="notebook" class="border-box-sizing"&gt;
    &lt;div class="container" id="notebook-container"&gt;

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&lt;h2 id="국제-상품-가격-데이터"&gt;국제 상품 가격 데이터&lt;a class="anchor-link" href="https://financedata.github.com/posts/global-commodity-price.html#%EA%B5%AD%EC%A0%9C-%EC%83%81%ED%92%88-%EA%B0%80%EA%B2%A9-%EB%8D%B0%EC%9D%B4%ED%84%B0"&gt;¶&lt;/a&gt;&lt;/h2&gt;&lt;p&gt;파이썬에서 국제 원자재(금, 은, 구리, 원유)의 가격을 가져와 다루는 방법&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;국제 금가격 (LBM, 런던금은시장)&lt;/li&gt;
&lt;li&gt;국제 은 가격 (LBMA, 런던 금시장협회)&lt;/li&gt;
&lt;li&gt;국제 구리 가격 (LME, 런던 금속 거래소)&lt;/li&gt;
&lt;li&gt;국제 원유가격 (서부 텍사스 중질유, 두바이유, 북해 브렌트유)
&lt;img src="http://i.imgur.com/qVjtvea.png" width="80%"&gt;
&lt;p&gt;&lt;a href="https://financedata.github.com/posts/global-commodity-price.html"&gt;더 읽기…&lt;/a&gt; (읽기 7분 남음.)&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><category>상품가격</category><category>크롤링</category><guid>https://financedata.github.com/posts/global-commodity-price.html</guid><pubDate>Sat, 26 Aug 2017 05:00:16 GMT</pubDate></item><item><title>matplotlib + 한글 (OSX)</title><link>https://financedata.github.com/posts/matplotlib-hangul-for-osx.html</link><dc:creator>plusjune</dc:creator><description>&lt;div tabindex="-1" id="notebook" class="border-box-sizing"&gt;
    &lt;div class="container" id="notebook-container"&gt;

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&lt;h2 id="matplotlib-+-한글-(OSX)"&gt;matplotlib + 한글 (OSX)&lt;a class="anchor-link" href="https://financedata.github.com/posts/matplotlib-hangul-for-osx.html#matplotlib-+-%ED%95%9C%EA%B8%80-(OSX)"&gt;¶&lt;/a&gt;&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;사용가능한 폰트 확인, TTF 폰트 설치 방법&lt;/li&gt;
&lt;li&gt;matplotlib 텍스트 출력시 폰트 특성을 지정 (FontProperties)&lt;/li&gt;
&lt;li&gt;matplotlib 전역으로 한글 글꼴 지정(rcParams)&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;img src="http://i.imgur.com/Kvx2GHB.png"&gt;&lt;/p&gt;
&lt;h4 id="2017-FinanceData-http://facebook.com/financedata"&gt;2017 FinanceData &lt;a href="http://facebook.com/financedata"&gt;http://facebook.com/financedata&lt;/a&gt;&lt;a class="anchor-link" href="https://financedata.github.com/posts/matplotlib-hangul-for-osx.html#2017-FinanceData-http://facebook.com/financedata"&gt;¶&lt;/a&gt;&lt;/h4&gt;&lt;p&gt;&lt;a href="https://financedata.github.com/posts/matplotlib-hangul-for-osx.html"&gt;더 읽기…&lt;/a&gt; (읽기 6분 남음.)&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><category>matplotlib</category><category>OSX</category><category>한글</category><guid>https://financedata.github.com/posts/matplotlib-hangul-for-osx.html</guid><pubDate>Sun, 06 Aug 2017 17:45:10 GMT</pubDate></item></channel></rss>