Actually awk is exactly the tool you should be looking into: ps axu | grep ‘[j]boss’ | awk ‘{print $5}’ or you can ditch the grep altogether since awk knows about regular expressions: ps axu | awk ‘/[j]boss/ {print $5}’ But if, for some bizarre reason, you really can’t use awk, there are other simpler … Read more
$ sed -n ‘s/.*href=”https://stackoverflow.com/questions/21264626/\([^”]*\).*/\1/p’ file http://www.drawspace.com/lessons/b03/simple-symmetry http://www.drawspace.com/lessons/b04/faces-and-a-vase http://www.drawspace.com/lessons/b05/blind-contour-drawing http://www.drawspace.com/lessons/b06/seeing-values
The Java runtime seems to send the version information to the stderr. You can get at this using Python’s subprocess module: >>> import subprocess >>> version = subprocess.check_output([‘java’, ‘-version’], stderr=subprocess.STDOUT) >>> print version java version “1.7.0_79” Java(TM) SE Runtime Environment (build 1.7.0_79-b15) Java HotSpot(TM) Client VM (build 24.79-b02, mixed mode) You can get the version … Read more
You should be able to continue the sequences directly in your existing -f specification. To skip both 5 and 7, try: cut -d, -f-4,6-6,8- As you’re skipping a single sequential column, this can also be written as: cut -d, -f-4,6,8- To keep it going, if you wanted to skip 5, 7, and 11, you would … Read more
Try the following: set.seed(700) clientID <- round(runif(200,min=2000, max=3000),0) orders <- round(runif(200,min=1, max=50),0) df <- df <- data.frame(cbind(clientID,orders)) ApplyQuintiles <- function(x) { cut(x, breaks=c(quantile(df$orders, probs = seq(0, 1, by = 0.20))), labels=c(“0-20″,”20-40″,”40-60″,”60-80″,”80-100”), include.lowest=TRUE) } df$Quintile <- sapply(df$orders, ApplyQuintiles) table(df$Quintile) 0-20 20-40 40-60 60-80 80-100 40 41 39 40 40 I included include.lowest=TRUE in your cut function, … Read more
As chepner said, you are encouraged to use a programming language which is able to parse csv. Here comes an example in python: import csv with open(‘a.csv’, ‘rb’) as csvfile: reader = csv.reader(csvfile, quotechar=”””) for row in reader: print(row[-1]) # row[-1] gives the last column
You can use string operators: $ foo=1:2:3:4:5 $ echo ${foo##*:} 5 This trims everything from the front until a ‘:’, greedily. ${foo <– from variable foo ## <– greedy front trim * <– matches anything : <– until the last ‘:’ }
For the cut(1) man page: Use one, and only one of -b, -c or -f. Each LIST is made up of one range, or many ranges separated by commas. Selected input is written in the same order that it is read, and is written exactly once. It reaches field 1 first, so that is printed, … Read more
You could try something like this: echo ‘maps.google.com’ | rev | cut -d’.’ -f 1 | rev Explanation rev reverses “maps.google.com” to be moc.elgoog.spam cut uses dot (ie ‘.’) as the delimiter, and chooses the first field, which is moc lastly, we reverse it again to get com