apply

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 made some changes to my branch and realized I forgot I had stashed some other necessary changes to said branch. What I want is a way to merge my stashed changes with the current changes. Is there a way to do this? Its more for convenience, I eventually gave up and committed first my current changes, then my stashed changes, but I would have preferred to get them in with one fell swoop. 回答1: Running git stash pop or git stash apply is essentially a merge. You shouldn't have needed to commit your current changes unless the files changed in

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: Over the last several years there have been several posts related to the parallelization of pandas.apply() or posts that describe problems that could be solved by structuring the data as a dataframe and using pandas.apply() if parallelization was implemented. My question to the community of experts here - what is the status of this capability as R already has mclapply . At the moment there is no clean standard solution. It is incredibly tedious to re-code entire functions and scripts to work with the proposed workarounds. Python Pandas

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 have a file with a bunch of lines. I have recorded a macro that performs an operation on a single line. I want to repeat that macro on all of the remaining lines in the file. Is there a quick way to do this? I tried Ctrl+Q, highlighted a set of lines, and pressed @@, but that didn't seem to do the trick. 回答1: Use the normal command in Ex mode to execute the macro on multiple/all lines: Execute the macro stored in register a on lines 5 through 10. :5,10norm! @a Execute the macro stored in register a on lines 5 through the end of the file.

I have a Python Pandas dataframe df: d=[['hello',1,'GOOD','long.kw'], [1.2,'chipotle',np.nan,'bingo'], ['various',np.nan,3000,123.456]] t=pd.DataFrame(data=d, columns=['A','B','C','D']) which looks like this: print(t) A B C D 0 hello 1 GOOD long.kw 1 1.2 chipotle NaN bingo 2 various NaN 3000 123.456 I am trying to create a new column which is a list of the values in A , B , C , and D . So it would look like this: t['combined'] Out[125]: 0 [hello, 1, GOOD, long.kw] 1 [1.2, chipotle, nan, bingo] 2 [various, nan, 3000, 123.456] Name: combined, dtype: object I am trying this code: t['combined'] =

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: Stack trace: Error: $apply already in progress at Error ( ) at beginPhase (file:///android_asset/www/built.min.js:7:22740) at Object.Scope.$apply (file:///android_asset/www/built.min.js:7:25967) at navigator.geolocation.getCurrentPosition.that (file:///android_asset/www/built.min.js:13:8670) at Object.geolocation.getCurrentPosition (file:///android_asset/www/plugins/org.apache.cordova.core.geolocation/www/geolocation.js:122:13) at Object.getCurrentPosition (file:///android_asset/www/built.min.js:13:8589) at Object.getCurrentPosition (file://

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 want to use a method located in another class inside a user-designed function but it's not working. I have a method: def traitementDataFrameEleve(sc:SparkSession, dfRedis:DataFrame, domainMail:String, dir:String):Boolean ={ def loginUDF = udf((sn: String, givenName:String) => { LoginClass.GenerateloginPersone(sn,givenName,dfr) }) dfEleve.withColumn("ENTPersonLogin",loginUDF(dfEleve("sn"),dfEleve("givenName"))) } LoginClass is a class that contains the GenerateloginPersone method. Output error : org.apache.spark.SparkException: Failed to

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 running hive merge command using Spark HiveContext in 1.6.3 spark version, but it is failing with below error. 2017-09-11 18:30:33 Driver [INFO ] ParseDriver - Parse Completed 2017-09-11 18:30:34 Driver [INFO ] ParseDriver - Parsing command: MERGE INTO emp_with_orc AS T USING SOURCE_TABLE AS S ON T.id = S.id WHEN MATCHED AND (S.operation = 1) THEN UPDATE SET a = S.a,b = S.b WHEN MATCHED AND (S.operation = 2) THEN DELETE WHEN NOT MATCHED THEN INSERT VALUES (S.id, S.a, S.b) 2017-09-11 18:30:34 Driver [ERROR] HiveWriter - Error while

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: Forcing anti-aliasing using css: Is this a myth? 17 answers How can we apply Photoshop-like font anti-aliasing such as crisp, sharp, strong, smooth in CSS? Are these supported by all browsers? 回答1: here you go Sir :-) 1 .myElement{ -webkit-font-smoothing: antialiased; } 2 .myElement{ -webkit-text-shadow: rgba(0,0,0,.01) 0 0 1px; } Update: (see Duke) .myElement{ text-shadow: rgba(0,0,0,.01) 0 0 1px; } 回答2: Short answer: You can't. CSS does not have techniques which affect the rendering of fonts in 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): 问题: i am encountering a baffling error. i am using the following function to delete rows of a dataframe containing an NA observation in any column ##### removes NA'd rows from a dataFrame wipeNArows<-function(X){ rowsToDelete<-unique(unlist(apply(apply(X,2,is.na),2,which))) if (length(rowsToDelete)>0){ return (X[-rowsToDelete,]) } else{ return (X) } } This function works fine normally, for instance a reproducible example is: testFrame<-data.frame(x=rpois(20,10),y=rpois(20,10),z=rpois(20,10)) rowsToDelete<-sample(1:nrow(testFrame),5,FALSE)

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'm trying to apply a function to a group of columns in a large data.table without referring to each one individually. a with the MWE above, this: a [, b = as . numeric ( b ), with = F ] works, but this: a [, b [ 2 : 3 ]:= data . table ( as . numeric ( b [ 2 : 3 ])), with = F ] doesn't work. What is the correct way to apply the as.numeric function to just columns 2 and 3 of a without referring to them individually. (In the actual data set there are tens of columns so it would be impractical) Thanks 回答1: The idiomatic approach is to