multiple-columns

问题 Hello I'm trying to convert the file disp.txt from: 116 C 0.12 -0.91 0.39 -0.40 0.31 0.85 -0.66 -0.18 -0.22 117 O 0.00 -0.02 0.00 -0.05 0.05 0.12 -0.57 -0.26 -0.29 116 C -0.03 -0.04 0.00 0.01 0.09 0.19 -0.71 -0.21 -0.26 117 O -0.14 0.88 -0.45 0.47 -0.33 -0.79 0.57 0.16 0.19 to disp.mol: vibration 1 0.12 -0.91 0.39 0.0 -0.02 0.0 vibration 2 -0.4 0.31 0.85 -0.05 0.05 0.12 vibration 3 -0.66 -0.18 -0.22 -0.57 -0.26 -0.29 vibration 4 -0.03 -0.04 0.00 -0.14 0.88 -0.45 vibration 5 ... I opened the

问题 Apology if the problemis trivial but as a python newby I wasn't able to find the right solution. I have two dataframes and I need to add a column to the first dataframe that is true if a certain value of the first dataframe is between two values of the second dataframe otherwise false. for example: first_df = pd.DataFrame({'code1':[1,1,2,2,3,1,1],'code2':[10,22,15,15,7,130,2]}) second_df = pd.DataFrame({'code1':[1,1,2,2,3,1,1],'code2_start':[5,20,11,11,5,110,220],'code2_end':[15,25,20,20,10

问题 This question already has answers here : How to apply same function to every specified column in a data.table (6 answers) Closed 4 years ago . Let DT be a data.table: DT<-data.table(V1=factor(1:10), V2=factor(1:10), ... V9=factor(1:10),) Is there a better/simpler method to do multicolumn factor conversion like this: DT[,`:=`( Vn1=as.numeric(V1), Vn2=as.numeric(V2), Vn3=as.numeric(V3), Vn4=as.numeric(V4), Vn5=as.numeric(V5), Vn6=as.numeric(V6), Vn7=as.numeric(V7), Vn8=as.numeric(V8), Vn9=as

问题 I'm building a simple site with bootstrap columns, but I would like for them to stay with the same height, since as of right now, if the last column in the row is short in height, the next one gets placed below it instead of on the next row to the left. How could I do this? .col-xs-3 { border: 1px solid red; } <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.6/js/bootstrap.min.js"></script> <div class="container"> <div class="row "> <div class="col-xs-3">Lorem ipsum dolor sit amet,

问题 Basically, I want to convert one column file into multiple column file specified by number of rows. I do not want to reinvent the wheel. I want to make sure if there is a unix command / or standard way of doing this before writing a custom script. For example, let's say I have the following file: $cat input.txt tom jack kim bart foo bar I want to turn this into 3 row file $ cat input.txt | my_script --every=3 --delimiter=tab tom bart jack foo kim bar or 2 row file with the different delimter:

问题 my data frame look like this: A S1 S2 S3 S4 1 ex1 1 0 0 0 2 ex2 0 1 0 0 3 ex3 0 0 1 0 4 ex4 1 0 0 0 5 ex5 0 0 0 1 6 ex6 0 1 0 0 7 ex7 1 0 0 0 8 ex8 0 1 0 0 9 ex9 0 0 1 0 10 ex10 1 0 0 0 i need to have it as a single factor list like: A Type ex1 S1 ex2 S2 ex3 S3 ex4 S1 ex5 S4 ex6 S2 ex7 S1 ex8 S2 ex9 S3 ex10 S1 anybody help my problem? 回答1: Assuming d is the data, the new column could be obtained with d$type <- names(d[-1])[apply(d[-1] == 1, 1, which)] d[c(1, 6)] # A type # 1 ex1 S1 # 2 ex2 S2

问题 Using Equal Height Columns with Cross-Browser CSS example HTML: <div id="container1"> <div id="col1">Column 1<br/>2</div> <div id="col2">Column 2</div> <div id="col3">Column 3</div> </div> CSS: #container1 { float:left; width:100%; } #col1 { float:left; width:30%; background:red; } #col2 { float:left; width:40%; background:yellow; } #col3 { float:left; width:30%; background:green; } There are more complicated demo pages, but I am looking to use the first example for my purposes. Why isn't the

问题 Using Equal Height Columns with Cross-Browser CSS example HTML: <div id="container1"> <div id="col1">Column 1<br/>2</div> <div id="col2">Column 2</div> <div id="col3">Column 3</div> </div> CSS: #container1 { float:left; width:100%; } #col1 { float:left; width:30%; background:red; } #col2 { float:left; width:40%; background:yellow; } #col3 { float:left; width:30%; background:green; } There are more complicated demo pages, but I am looking to use the first example for my purposes. Why isn't the

问题 I have a data frame in PySpark. I would like to add a column to the data frame conditionally. Say If the data frame doesn’t have the column then add a column with null values. If the column is present then do nothing and return the same data frame as a new data frame How do I pass the conditional statement in PySpark 回答1: It is not hard but you'll need a bit more than a column name to do it right. Required imports from pyspark.sql import types as t from pyspark.sql.functions import lit from

问题 This is the continuation to OnEvent datagrid column add fail I have seen this post: How to add Data to a WPF datagrid programatically the datagrid is simply this: <DataGrid Name="dtgResults" Background="Transparent" AutoGenerateColumns="False"/> in which everything seems to work fine but when I put it in my solution it doesn't compile: Can anyone explain me why? ---EDIT--- I realize now that I have misunderstood what's in the link above. In short I have a datagrid binded to an observable