multiple-columns

问题 Hi i am tring to move with this below formatted text input: NICK JEFF NOAA A4:80:15 NOAA A4:80:17 NOOI D0:F2:0B BASE-TREE_IN-M_K NICK STAN NOAA C1:46:6B NOOI D5:75:0C BASE-TREE_OUT_OUT NICK INDEXER NOOI D5:75:0C SEAT_25 NOAA C1:46:6B NICK VUZER NOAA A4:F2:CD NOOI D0:F2:2D SEAT_42_FLIGHT NOAA A4:F2:CD NICK CAPTAIN NOOI A4:82:8D NOAA A4:82:8F NOOI 40:63:07 SYS-BRAVO_X1 NOOI 40:62:DB SYS-BRAVO_X2 NOOI 40:62:B5 SYS-BRAVO_X3 NOOI D0:47:4A BASE-TREE_OUT_OUT NOOI 51:30:45 NOBASE-INDEX_OUT_FIF NOOI

问题 I have dataframe that has so many columns that i'm not able to specify column names one by one when filtering. So i need to filter all of the columns at once. And I want to leave the columns to dataframe that doesn't have any values over 50. I have transposed my dataframe but that doesn't help. I have also removed commas from my dataframe and that doesn't help either (i made numbers as integers and took that into consideration that i have to use 50000 insted of 50 in that case). Below is

问题 I have to make a pdf document like this. In itext 7, I made columns document by ColumnDocumentRenderer class but i can't made like this. Whole document was separated to two columns. https://riptutorial.com/itext/example/20402/text2pdfcolumns-java--itext-7- Can someonw help me? 回答1: I solved this problem by self. i refer these pages. https://kb.itextpdf.com/home/it7kb/ebooks/itext-7-building-blocks/chapter-2-adding-content-to-a-canvas-or-a-document https://kb.itextpdf.com/home/it7kb/examples

问题 I'm trying to apply the same condition for multiple columns of an array and, then, create a new column if any of the columns meet the condition. I can do it manually with an OR statement, but I was wondering if there is an easy way to apply it for more columns. An example: data <- data.frame(V1=c("A","B"),V2=c("A","A","A","B","B","B"),V3=c("A","A","B","B","A","A")) data[4] <- ifelse((data[1]=="A"|data[2]=="A"|data[3]=="A"),1,0) So the 4th row is the only that doesn't meet the condition for

问题 I'm trying to apply the same condition for multiple columns of an array and, then, create a new column if any of the columns meet the condition. I can do it manually with an OR statement, but I was wondering if there is an easy way to apply it for more columns. An example: data <- data.frame(V1=c("A","B"),V2=c("A","A","A","B","B","B"),V3=c("A","A","B","B","A","A")) data[4] <- ifelse((data[1]=="A"|data[2]=="A"|data[3]=="A"),1,0) So the 4th row is the only that doesn't meet the condition for

问题 I have a dataframe with many factors and want to create statistical tables that show the distribution for each factor, including factor levels with zero observations. For instance, these data: structure(list(engag11 = structure(c(5L, 4L, 4L), .Label = c("Strongly Disagree", "Disagree", "Neither A or D", "Agree", "Strongly Agree"), class = "factor"), encor11 = structure(c(1L, 1L, 1L), .Label = c("Agree", "Neither Agree or Disagree", "Strongly Agree"), class = "factor"), know11 = structure(c(3L

问题 I have a dataframe with many factors and want to create statistical tables that show the distribution for each factor, including factor levels with zero observations. For instance, these data: structure(list(engag11 = structure(c(5L, 4L, 4L), .Label = c("Strongly Disagree", "Disagree", "Neither A or D", "Agree", "Strongly Agree"), class = "factor"), encor11 = structure(c(1L, 1L, 1L), .Label = c("Agree", "Neither Agree or Disagree", "Strongly Agree"), class = "factor"), know11 = structure(c(3L

问题 I have problem with speed of my algorithm, is too slow. I have a big dataframe and wanna create columns depends on the name and value in other. I am looking for a solution maybe in Pandas. Before running I don't know the size of the future columns. Here is a simple schema. "column"<==>"value"<br>"column"<==> "value"<br>... my data frame id | params | ---|----------------- 0 |currency<=>PLN<br>price<=>72.14<br>city<==>Berlin ---|----------------- 1 |price<=>90<br>area<=>72.14<br>city<==>San

问题 I have problem with speed of my algorithm, is too slow. I have a big dataframe and wanna create columns depends on the name and value in other. I am looking for a solution maybe in Pandas. Before running I don't know the size of the future columns. Here is a simple schema. "column"<==>"value"<br>"column"<==> "value"<br>... my data frame id | params | ---|----------------- 0 |currency<=>PLN<br>price<=>72.14<br>city<==>Berlin ---|----------------- 1 |price<=>90<br>area<=>72.14<br>city<==>San

问题 I am collating multiple excel files into one using data frames. There are duplicate columns in the files. Is it possible to merge only the unique columns? Here is my code: library(rJava) library (XLConnect) data.files = list.files(pattern = "*.xls") # Read the first file df = readWorksheetFromFile(file=data.files[1], sheet=1, check.names=F) # Loop through the remaining files and merge them to the existing data frame for (file in data.files[-1]) { newFile = readWorksheetFromFile(file=file,