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Renaming columns in pandas

...eviated representation:code <class 'pandas.core.frame.DataFrame'> Int64Index: 1000 entries, 0 to 999 Data columns: BodyMarkdown 1000 non-null code works, but when i do dataframe.head() the old names for the columns re-appear. – darKoram Sep 10 '12...
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Text overflow ellipsis on two lines

... at 50% -> white at 100%.*/ background-image:url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAgAAAAABCAMAAACfZeZEAAAABGdBTUEAALGPC/xhBQAAAwBQTFRF//////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////...
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Show the progress of a Python multiprocessing pool imap_unordered call?

... 64 what if pool returns a value? – Nickpick Feb 6 '17 at 10:57 ...
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联网 App 第 4 课:图片上传,压缩后用 Web 客户端传到服务器、列表直接显...

...数据库存的是文本,想存图片只能把图片转成很长的 Base64 文字,体积还会再大三分之一,读写都慢,很多服务对单个值也有大小限制。 更好的分工是: 手机 ──图片文件──▶ 服务端 /upload ──返回──▶ 图片地址 http://...
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How to import a module given the full path?

... 64 @SridharRatnakumar the value of the first argument of imp.load_source only sets the .__name__ of the returned module. it doesn't effect loa...
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How can you iterate over the elements of an std::tuple?

... Under GCC 8.1/mingw-64, I get two warnings for the use of boost::fusion::for_each with std lambda expressions: boost/mpl/assert.hpp:188:21: warning: unnecessary parentheses in declaration of 'assert_arg' [-Wparentheses] failed ************ (Pr...
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Random data in Unit Tests?

... Robert GouldRobert Gould 64.3k5757 gold badges174174 silver badges267267 bronze badges ...
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How to configure postgresql for the first time?

...safe and not recommended. This worked for me in the standard Ubuntu 14.04 64 bits installation. I followed the instructions, with small modifications, that I found in http://suite.opengeo.org/4.1/dataadmin/pgGettingStarted/firstconnect.html Install postgreSQL (if not already in your machine): ...
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Python dictionary from an object's fields

...7 dF.dF. 64.2k2727 gold badges123123 silver badges134134 bronze badges ...
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Get MD5 hash of big files in Python

...es advantage of the fact that MD5 has 128-byte digest blocks (8192 is 128×64). Since you're not reading the entire file into memory, this won't use much more than 8192 bytes of memory. In Python 3.8+ you can do import hashlib with open("your_filename.txt", "rb") as f: file_hash = hashlib.md5(...