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可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: for the sake of simplicity suppose I have a column in a data frame like the one below , each row contains multiple countries separated by , df <- data.frame( countries = c( "UK , Spain , Germany , Italy , Netherlands" , "UK , Canada , AUS , China" , "Spain , AUS , Italy , Russia" ) ) This is how data looks like countries 1 UK , Spain , Germany , Italy , Netherland 2 UK , Canada , AUS , China 3 Spain , AUS , Italy , Russia how can we transform this to be something like countries 1 UK 2 Spain 3 Germany 4 Italy 5 Netherlands 6 UK 7 Canada 8 AUS

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: This question already has an answer here: UK Postcode Regex (Comprehensive) 28 answers I'm looking to be able to validate UK Postcodes, and ideally, I would like the following cases to pass: W1 W12 WC1 WC1A WC12 W1 6BT W12 6BT WC1 6BT WC1A 6BT WC12 6BT W16BT W126BT WC16BT WC1A6BT WC126BT I have the following regex patterns: ^(GIR 0AA)|(((A[BL]|B[ABDHLNRSTX]?|C[ABFHMORTVW]|D[ADEGHLNTY]|E[HNX]?|F[KY]|G[LUY]?|H[ADGPRSUX]|I[GMPV]|JE|K[ATWY]|L[ADELNSU]?|M[EKL]?|N[EGNPRW]?|O[LX]|P[AEHLOR]|R[GHM]|S[AEGKLMNOPRSTY]?|T[ADFNQRSW]|UB|W[ADFNRSV]|YO|ZE)[1

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: How can I achieve the equivalents of SQL's IN and NOT IN ? I have a list with the required values. Here's the scenario: df = pd . DataFrame ({ 'countries' :[ 'US' , 'UK' , 'Germany' , 'China' ]}) countries = [ 'UK' , 'China' ] # pseudo-code: df [ df [ 'countries' ] not in countries ] My current way of doing this is as follows: df = pd . DataFrame ({ 'countries' :[ 'US' , 'UK' , 'Germany' , 'China' ]}) countries = pd . DataFrame ({ 'countries' :[ 'UK' , 'China' ], 'matched' : True }) # IN df . merge ( countries , how = 'inner' , on

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I am starting to use Spark Dataframes and I need to be able to pivot the data to create multiple columns out of 1 column with multiple rows. There is built in functionality for that in Scalding and I believe in Pandas in python, but I can't find anything for the new Spark Dataframe. I assume I can write custom function of some sort that will do this but I'm not even sure how to start, especially since I am a novice with Spark. I anyone knows how to do this with built in functionality or suggestions for how to write something in Scala, it is

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: Problem I have loaded in the shapefile of the UK, no issues. Lets call this FILE1 . I also have a data frame file with 2 columns: Longitude, Latitude. lets call this FILE2 . I am trying to plot the coordinates of FILE2 onto the shapefile map of FILE1 and create a choropleth map I am also receiving the following error: Error in polygonData.default(data) : Don't know how to get path data from object of class tbl_df CODE I have taken the code from this question: Choropleth maps in R using leaflet package and adapted it to suit my data #Plot the

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: I have tried several regexes and still some valid postal codes sometimes get rejected. Searching the internet, Wikipedia and SO, I could only find regex validation solutions. Is there a validation method which does not use regex? In any language, I guess it would be easy to port. I supose the easiest would be to compare against a postal code database, yet that would need to be maintained and updated periodically from a reliable source. Edit: To help future visitors and keep you from posting any more regexes, here's a regex which I

UK /*--> */ /*--> */ /*--> */ /*--> */ /*--> */ UK Table of Contents 1. Visa UK 1.1.1. supporting documents 1.1.2. Short-Term Student immigration permission for a postgraduate student who is taking their viva (oral) examination 2. Market 3. gift 4. outdoor 5. high street 6. travel 7. rent 7.1. web 7.2. deposit 7.3. Tenancy Agreement 7.4. Inventory 8. free accommodation 9. NHS low income scheme 1 Visa UK 1.1 When you have a date for your viva, please contact us to request a letter. For more details, please see this guide from the QMUL Advice and Counselling Service: https://www.welfare.qmul.ac

为什么80%的码农都做不了架构师？>>> 1.环境 必须有 swfobject.js和 expressInstall.swf js： http://pan.baidu.com/share/link?shareid=2536087943&uk=4079065711&fid=1686543302 swf: http://pan.baidu.com/share/link?shareid=635618309&uk=204651622&fid=3017163325 2.使用示例 参考：http://www.cnblogs.com/liuzhong/archive/2011/07/20/2111884.html <script type = “text/javascript“ > var flashvars = false ; var params = {}; var attributes = { id : “ myDynamicContent “, name : “ myDynamicContent “ }; swfobject . embedSWF (“ myContent . swf “, “ myContent “, “ 300 “, “ 120 “, “ 9.0 . 0 “,“ expressInstall . swf “, flashvars , params ,

前一章节对 linux 内核中 USB 驱动程序的框架进行了分析，这一节以 USB 鼠标为对象，编写 USB 鼠标驱动程序。 实验内容：编写 USB 鼠标设备驱动程序。并将 USB 鼠标左键定义为" L "功能，右键定义为" S "功能，中间滚轮键定义为" ENTER "功能，方便测试。 参考内核中 /driver/hid/usbhid/usbmouse.c 文件。 从入口函数 usbmouse_as_key_init 开始。按照之前编写字符驱动程序的惯例，入口函数中需要实现 usb_driver 结构体的分配，配置、注册以及和硬件相关的操作。 那么，首先需要定义一个 usb_driver 结构体。 其中 probe 函数是整个驱动程序的重点，后面再讲。 disconnect 函数是当设备断开连接时调用，后面再讲。 id_table 用于保存 usb 设备的 id 信息，其结构体定义如下： 这里 usbmouse_as_key_id_table 的定义如下： 定义中使用宏 USB_INTERFACE_INFO ，具体定义如下： 对宏 USB_INTERFACE_INFO 进行展开， usbmouse_as_key_id_table [] ={ { .match_flags = USB_DEVICE_ID_MATCH_INT_INFO, .bInterfaceClass = USB

原文连接： http://julying.com/blog/the-features-of-javascript-language-summary-maps/ 看了这篇文章很喜欢里面的思维导图，但是只有图片格式。因为太大所以放大看也有点麻烦。 所以就自己做了个，在他的基础上该了些自己理解的。 截图： 图片连接： http://pan.baidu.com/share/link?shareid=163626&uk=2350621701 swf格式： http://pan.baidu.com/share/link?shareid=163617&uk=2350621701 swf格式的用浏览器打开 有点击效果 这个是mindManager的源文件，可以自己修改： http://pan.baidu.com/share/link?shareid=163620&uk=2350621701 来源： http://www.cnblogs.com/iisoc/archive/2013/01/10/2854189.html