[ad_1] Got it…..I’m sure there is a cleaner version of my regular expressions but it works. $Keywords=”\sVersion\sis\s.{2,16}”, ‘\sfound’, ‘\sshould.{2,40}’,’\sfile’ $Csv | ForEach-Object { ForEach($keyword in $Keywords){ $_.Results = $_.Results -replace $keyword,” }} $Csv | Export-Csv $FileOut -NoTypeInformation [ad_2] solved Trim multiple items CSV using PowerShell
[ad_1] Please check the below script in PowerShell. I have made an assumption that there will be only one country. The entries can be jumbled in any way. Also, I assume that there is this below row as the first row in your CSV for the headers: Country,State,City You can use similar logic in any … Read more
[ad_1] The following script will create result.csv based on your original sample data (see past edits to question): import csv from collections import defaultdict d_entries = defaultdict(list) with open(‘fileTwo.csv’, ‘r’) as f_fileTwo: csv_fileTwo = csv.reader(f_fileTwo) header_fileTwo = next(csv_fileTwo) for cols in csv_fileTwo: d_entries[(cols[0], cols[1])].append([cols[0], ”] + cols[1:]) with open(‘fileOne.csv’, ‘r’) as f_fileOne, open(‘result.csv’, ‘w’, newline=””) … Read more
[ad_1] Python Power Unleased : import csv,sys filename=”a.csv” with open(filename,’rb’) as csvfile: reader = csv.reader(csvfile,delimiter=”,”) try: for row in reader: if row[1].find(‘,’) == -1: line=”,”.join(row) print line else: for i in range(0,row[1].count(‘,’)+1): line = row[0]+’,’+row[1].split(‘,’)[i]+’,’+row[2].split(‘,’)[i] print line except csv.Error as e: sys.exit(‘file %s, line %d: %s’ % (filename, reader.line_num, e)) [ad_2] solved Separate a row … Read more
[ad_1] Get-ChildItem C:\Windows\System32\ | Select-Object Name,CreationTime,@{n=’MD5′;ex={(Get-FileHash $_.fullname).hash}} Use -Recurse parameter if you want to get files from sub directories also: Get-ChildItem C:\Windows\System32\ -Recurse Use -File parameter if you want to get only files and not folders: Get-ChildItem C:\Windows\System32\ -Recurse -File Type the following command to get the list of all available properties: Get-ChildItem | Get-Member … Read more
[ad_1] First, write a view to upload your file. You can use Paperclip for this. Assuming you have a resource Csv, your upload form could look like this: <%= form_for @csv, :url => csv_path, :html => { :multipart => true } do |form| %> <%= form.file_field :attachment %> <% end %> Your model: class Csv … Read more
[ad_1] If you are absolutely certain that each entry is 92 lines long: from itertools import izip import csv with open(‘data.txt’) as inf, open(‘data.csv’,’wb’) as outf: lines = (line[2:].rstrip() for line in inf) rows = (data[1:89] for data in izip(*([lines]*92))) csv.writer(outf).writerows(rows) 1 [ad_2] solved Converting a large ASCII to CSV file in python or java … Read more
[ad_1] As direct answer, you should read file line by line, process them with Text::CSV, push new values to arrays with each array corresponds to original column and then just output them with join or like to get transposed representation of original. Disposing of each array right after join will help with memory problem too. … Read more
[ad_1] Try this php code (gets the lines with file()).: <?php $csv1 = file(‘csv1.csv’, FILE_IGNORE_NEW_LINES | FILE_SKIP_EMPTY_LINES); $csv2 = file(‘csv2.csv’, FILE_IGNORE_NEW_LINES | FILE_SKIP_EMPTY_LINES); $csv3 = file(‘csv3.csv’, FILE_IGNORE_NEW_LINES | FILE_SKIP_EMPTY_LINES); $lines = max(count($csv1), count($csv2), count($csv3)); $finalcsv = array(); for($i=0; $i<$lines; $i++) { if(isset($csv1[$i])) $finalcsv[] = $csv1[$i]; if(isset($csv2[$i])) $finalcsv[] = $csv2[$i]; if(isset($csv3[$i])) $finalcsv[] = $csv3[$i]; } file_put_contents(‘final_data.csv’, … Read more
[ad_1] Use Perl. Read the CSV file into a hash, build a regular expression from the hash keys, and do a global subtitution on the text using the hash to translate. It looks like this use strict; use warnings; use 5.010; use autodie; my $str = <<‘__END_TEXT__’; The ripple-necked bird sang melodies by the curling … Read more
[ad_1] While I agree the OP does not appear to have done their fair share of figuring this out (how hard is Google?), I know someone else will be looking in the future. Posting information will help them. @OP, I’m not going to do all your file handling work for you but here is the … Read more
[ad_1] You can drop the rownames of a dataframe by simply setting them to null. They’re null by default (see ?data.frame), but sometimes they get set by various functions: # Create a sample dataframe with row.names a_data_frame <- data.frame(letters = c(“a”, “b”, “c”), numbers = c(1, 2, 3), row.names = c(“Row1”, “Row2”, “Row3”)); # View … Read more
[ad_1] It’s not clear from your question as you didn’t provide sample input/output we could test against but it SOUNDS like all you’re trying to do is this: $ cat tst.awk BEGIN { split(“7 10 15 12 4″,w) FPAT=”[^,]*|\”[^\”]*\”” } { gsub(/””/,RS) for (i=1;i<=NF;i++) { gsub(/”/,””,$i) gsub(RS,”\””,$i) printf “<%-*s>”, w[i], substr($i,1,w[i]) } print “” } … Read more
[ad_1] Here’s how to do what you say you want. Your description of the desired “table” output is somewhat vague, so I made my best guess. def get_rows(data): rows = [] for line in data.splitlines(): fields = line.split(‘,’) if not any(field == ‘NULL’ for field in fields): # Not defective row. rows.append(fields) return rows csv_string … Read more
[ad_1] You could use the RIGHT() part of the string filtering wher the firts is a number eg: SELECT right(my_column, LENGTH(my_column)-1) FROM my_table WHERE my_column REGEXP ‘^[0-9]’ for update (remove the number ) you could use Update my_table set my_column= right(my_column, LENGTH(my_column)-1) WHERE my_column REGEXP ‘^[0-9]’ 1 [ad_2] solved How to remove first letter if … Read more