Can someone help me how to write a piece of command that will insert some text in multiple places (given column and row) of a given file that already contains data. For example: old_data is a file that contains:
A
And I wish to get new_data that will contain:
A 1
I read something about awk and sed commands, but I don't believe to understand how to incorporate these, to get what I want.
I would like to add up, that this command I would like to use as a part of script
for b in ./*/ ; do (cd "$b" && command); done
If we imagine content of old_data as a matrix of elements {An*m} where n corresponds to number of row and m to number of column of this matrix, I wish to manipulate with matrix so that I could add new elements. A in old-data has coordinates (1,1). In new_data therefore, I wish to assign 1 to a matrix element that has coordinates (1,3).
If we compare content of old_data and new_data we see that (1,2) element corresponds to space (it is empty).
It's not at all clear to me what you are asking for, but I suspect you are saying that you would like a way to insert some given text in to a particular row and column. Perhaps:
$ cat input
A
B
C
D
$ row=2 column=2 text="This is some new data"
$ awk 'NR==row {$column = new_data " " $column}1' row=$row column=$column new_data="$text" input
A
B This is some new data
C
D
This bash & unix tools code works:
# make the input files.
echo {A..D} | tr ' ' '\n' > abc ; echo {1..4} | tr ' ' '\n' > 123
# print as per previous OP spec
head -1q abc 123 ; paste abc 123 123 | tail -n +2
Output:
A
1
B 2 2
C 3 3
D 4 4
Version #3, (using commas as more visible separators), as per newest OP spec:
# for the `sed` code change the `2` to whatever column needs deleting.
paste -d, abc 123 123 | sed 's/[^,]*//2'
Output:
A,,1
B,,2
C,,3
D,,4
The same, with tab delimiters (less visually obvious):
paste abc 123 123 | sed 's/[^\t]*//2'
A 1
B 2
C 3
D 4
Related
My text file should be of two columns separated by a tab-space (represented by \t) as shown below. However, there are a few corrupted values where column 1 has two values separated by a space (represented by \s).
A\t1
B\t2
C\sx\t3
D\t4
E\sy\t5
My objective is to create a table as follows:
A\t1
B\t2
C\t3
D\t4
E\t5
i.e. discard the 2nd value that is present after the space in column 1 for eg. in C\sx\t3 I can discard the x that is present after space and store the columns as C\t3.
I have tried a couple of things but with no luck.
I tried to cut the cols based on \t into independent columns and then cut the first column based on \s and join them again. However, it did not work.
Here is the snippet:
col1=(cut -d$'\t' -f1 $file | cut -d' ' -f1)
col2=(cut -d$'\t' -f1 $file)
myArr=()
for((idx=0;idx<${#col1[#]};idx++));do
echo "#{col1[$idx]} #{col2[$idx]}"
# I will append to myArr here
done
The output is appending the list of col2 to the col1 as A B C D E 1 2 3 4 5. And on top of this, my file is very huge i.e. 5,300,000 rows so I would like to avoid looping over all the records and appending them one by one.
Any advice is very much appreciated.
Thank you. :)
And another sed solution:
Search and replace any literal space followed by any number of non-TAB-characters with nothing.
sed -E 's/ [^\t]+//' file
A 1
B 2
C 3
D 4
E 5
If there could be more than one actual space in there just make it 's/ +[^\t]+//' ...
Assuming that when you say a space you mean a blank character then using any awk:
awk 'BEGIN{FS=OFS="\t"} {sub(/ .*/,"",$1)} 1' file
Solution using Perl regular expressions (for me they are easier than seds, and more portable as there are few versions of sed)
$ cat ls
A 1
B 2
C x 3
D 4
E y 5
$ cat ls |perl -pe 's/^(\S+).*\t(\S+)/$1 $2/g'
A 1
B 2
C 3
D 4
E 5
This code gets all non-empty characters from the front and all non-empty characters from after \t
Try
sed $'s/^\\([^ \t]*\\) [^\t]*/\\1/' file
The ANSI-C Quoting ($'...') feature of Bash is used to make tab characters visible as \t.
take advantage of FS and OFS and let them do all the hard work for you
{m,g}awk NF=NF FS='[ \t].*[ \t]' OFS='\t'
A 1
B 2
C 3
D 4
E 5
if there's a chance of leading edge or trailing edge spaces and tabs, then perhaps
mawk 'NF=gsub("^[ \t]+|[ \t]+$",_)^_+!_' OFS='\t' RS='[\r]?\n'
I am trying to filter a text file with columns based on two conditions. Due to the size of the file, I cannot use the column numbers (as there are thousands and are unnumbered) but need to use the column names. I have searched and tried to come up with multiple ways to do this but nothing is returned to the command line.
Here are a few things I have tried:
awk '($colname1==2 && $colname2==1) { count++ } END { print count }' file.txt
to filter out the columns based on their conditions
and
head -1 file.txt | tr '\t' | cat -n | grep "COLNAME
to try and return the possible column number related to the column.
An example file would be:
ID ad bd
1 a fire
2 b air
3 c water
4 c water
5 d water
6 c earth
Output would be:
2 (count of ad=c and bd=water)
with your input file and the implied conditions this should work
$ awk -v c1='ad' -v c2='bd' 'NR==1{n=split($0,h); for(i=1;i<=n;i++) col[h[i]]=i}
$col[c1]=="c" && $col[c2]=="water"{count++} END{print count+0}' file
2
or you can replace c1 and c2 with the values in the script as well.
to find the column indices you can run
$ awk -v cols='ad bd' 'BEGIN{n=split(cols,c); for(i=1;i<=n;i++) colmap[c[i]]}
NR==1{for(i=1;i<=NF;i++) if($i in colmap) print $i,i; exit}' file
ad 2
bd 3
or perhaps with this chain
$ sed 1q file | tr -s ' ' \\n | nl | grep -E 'ad|bd'
2 ad
3 bd
although may have false positives due to regex match...
You can rewrite the awk to be more succinct
$ awk -v cols='ad bd' '{while(++i<=NF) if(FS cols FS ~ FS $i FS) print $i,i;
exit}' file
ad 2
bd 3
As I mentioned in an earlier comment, the answer at https://unix.stackexchange.com/a/359699/133219 shows how to do this:
awk -F'\t' '
NR==1 {
for (i=1; i<=NF; i++) {
f[$i] = i
}
}
($(f["ad"]) == "c") && ($(f["bd"]) == "water") { cnt++ }
END { print cnt+0 }
' file
2
I'm assuming your input is tab-separated due to the tr '\t' in the command in your question that looks like you're trying to convert tabs to newlines to convert column names to numbers. If I'm wrong and they're just separated by any chains of white space then remove -F'\t' from the above.
Use miller toolkit to manipulate tab-delimited files using column names. Below is a one-liner that filters a tab-delimited file (delimiter is specified using --tsv) and writes the results to STDOUT together with the header. The header is removed using tail and the lines are counted with wc.
mlr --tsv filter '$ad == "c" && $bd == "water"' file.txt | tail -n +2 | wc -l
Prints:
2
SEE ALSO:
miller manual
Note that miller can be easily installed, for example, using conda, like so:
conda create --name miller miller
For years it bugged me there is no succinct way in Unix to do this sort of thing, although miller is a pretty good tool for this. Recently I wrote pick to choose columns by name, and additionally modify, combine and add them by name, as well as filtering rows by clauses using column names. The solution to the above with pick is
pick -h #ad=c #bd=water < data.txt | wc -l
By default pick prints the header of the selected columns, -h is to omit it. To print columns you simply name them on the command line, e.g.
pick ad water < data.txt | wc -l
Pick has many modes, all of them focused on manipulating columns and selecting/filtering rows with a minimal amount of syntax.
I have a large text file with 2 columns. The first column is large and complicated, but contains a name="..." portion. The second column is just a number.
How can I produce a text file such that the first column contains ONLY the name, but the second column stays the same and shows the number? Basically, I want to extract a substring from the first column only AND have the 2nd column stay unaltered.
Sample data:
application{id="1821", name="app-name_01"} 0
application{id="1822", name="myapp-02", optionalFlag="false"} 1
application{id="1823", optionalFlag="false", name="app_name_public"} 3
...
So the result file would be something like this
app-name_01 0
myapp-02 1
app_name_public 3
...
If your actual Input_file is same as the shown sample then following code may help you in same.
awk '{sub(/.*name=\"/,"");sub(/\".* /," ")} 1' Input_file
Output will be as follows.
app-name_01 0
myapp-02 1
app_name_public 3
Using GNU awk
$ awk 'match($0,/name="([^"]*)"/,a){print a[1],$NF}' infile
app-name_01 0
myapp-02 1
app_name_public 3
Non-Gawk
awk 'match($0,/name="([^"]*)"/){t=substr($0,RSTART,RLENGTH);gsub(/name=|"/,"",t);print t,$NF}' infile
app-name_01 0
myapp-02 1
app_name_public 3
Input:
$ cat infile
application{id="1821", name="app-name_01"} 0
application{id="1822", name="myapp-02", optionalFlag="false"} 1
application{id="1823", optionalFlag="false", name="app_name_public"} 3
...
Here's a sed solution:
sed -r 's/.*name="([^"]+).* ([0-9]+)$/\1 \2/g' Input_file
Explanation:
With the parantheses your store in groups what's inbetween.
First group is everything after name=" till the first ". [^"] means "not a double-quote".
Second group is simply "one or more numbers at the end of the line preceeded with a space".
I have a text file that was created when someone pasted from Excel into a text-only email message. There were originally five columns.
Column header 1
Column header 2
...
Column header 5
Row 1, column 1
Row 1, column 2
etc
Some of the data is single-word, some has spaces. What's the best way to get this data into column-formatted text with unix utils?
Edit: I'm looking for the following output:
Column header 1 Column header 2 ... Column header 5
Row 1 column 1 Row 1 column 2 ...
...
I was able to achieve this output by manually converting the data to CSV in vim by adding a comma to the end of each line, then manually joining each set of 5 lines with J. Then I ran the csv through column -ts, to get the desired output. But there's got to be a better way next time this comes up.
Perhaps a perl-one-liner ain't "the best" way, but it should work:
perl -ne 'BEGIN{$fields_per_line=5; $field_seperator="\t"; \
$line_break="\n"} \
chomp; \
print $_, \
$. % $fields_per_row ? $field_seperator : $line_break; \
END{print $line_break}' INFILE > OUTFILE.CSV
Just substitute the "5", "\t" (tabspace), "\n" (newline) as needed.
You would have to use a script that uses readline and counter. When the program reaches that line you want, use cut command and space as a dilimeter to get the word you want
counter=0
lineNumber=3
while read line
do
counter += 1
if lineNumber==counter
do
echo $line | cut -d" " -f 4
done
fi
I would like to merge two files (one is space delimited and the other tab delimited) keeping only the records that are matching between the two files:
File 1: space delimited
A B C D E F G H
s e id_234 4 t 5 7 9
r d id_45 6 h 3 9 10
f w id_56 2 y 7 3 0
s f id_67 2 y 10 3 0
File 2: tab delimited
I L M N O P
s e 4 u id_67 88
d a 5 d id_33 67
g r 1 o id_45 89
I would like to match File 1 field 3 ("C") with file 2 field 5 ("O"), and merge the files like this:
File 3: tab delimited
I L M N O P A B D E F G H
s e 4 u id_67 88 s f 2 y 10 3 0
g r 1 o id_45 89 r d 6 h 3 9 10
There are entries in file 1 that don't appear in file 2, and vice versa, but I only want to keep the intersection (the common ids).
I don't really care about the order.
I would prefer not to use join because these are really big unsorted files and join requires to sort by common field before, which takes a very long time and much memory.
I have tried with awk but unsuccessfully
awk > file3 'NR == FNR {
f2[$3] = $2; next
}
$5 in f2 {
print $0, f2[$2]
}' file2 file1
Can someone please help me?
Thank you very much
Hmm.. you'll ideally be looking to avoid an n^2 solution which is what the awk based approach seems to require. For each record in file1 you have to scan file2 to see if occurs. That's where the time is going.
I'd suggest writing a python (or similar) script for this and building a map id->file position for one of the files and then querying that whilst scanning the other file. That'd get you an nlogn runtime which, to me at least, looks to be the best you could do here (using a hash for the index leaves you with the expensive problem of seeking to the file pos).
In fact, here's the Python script to do that:
f1 = file("file1.txt")
f1_index = {}
# Generate index for file1
fpos = f1.tell()
line = f1.readline()
while line:
id = line.split()[2]
f1_index[id] = fpos
fpos = f1.tell()
line = f1.readline()
# Now scan file2 and output matches
f2 = file("file2.txt")
line = f2.readline()
while line:
id = line.split()[4]
if id in f1_index:
# Found a matching line, seek to file1 pos and read
# the line back in
f1.seek(f1_index[id], 0)
line2 = f1.readline().split()
del line2[2] # <- Remove the redundant id_XX
new_line = "\t".join(line.strip().split() + line2)
print new_line
line = f2.readline()
If sorting the two files (on the columns you want to match on) is a possibility (and wouldn't break the content somehow), join is probably a better approach than trying to accomplish this with bash or awk. Since you state you don't really care about the order, then this would probably be an appropriate method.
It would look something like this:
join -1 3 -2 5 -o '2.1,2.2,2.3,2.4,2.5,2.6,1.1,1.2,1.4,1.5,1.6,1.7,1.8' <(sort -k3,3 file1) <(sort -k5,5 file2)
I wish there was a better way to tell it which columns to output, because that's a lot of typing, but that's the way it works. You could probably also leave off the -o ... stuff, and then just post-process the output with awk or something to get it into the order you want...