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
Finding the point at which the desired sequence occurs is pretty easy: strstr supports that: char str[] = “this is abc a big abc input string abc to split up”; char *pos = strstr(str, “abc”); So, at that point, pos points to the first location of abc in the larger string. Here’s where things get … Read more
Just do not give any delimeter? >>> a=”test result” >>> a.split() [‘test’, ‘result’]
The preferred way to do this is using process substitution while IFS= read -r -d $’\0′ file; do # Arbitrary operations on “$file” here done < <(find /some/path -type f -print0) If you were hell-bent on parsing a bash variable in a similar manner, you can do so as long as the list is not … Read more
The problem is that those { and } characters you have there don’t specify a key for formatting. You need to double them up, so change your code to: addr_list_formatted.append(“”” “{0}” {{ “gamedir” “str” “address” “{1}” }} “””.format(addr_list_idx, addr))
Sticking with the standard library, re.split() can split a line at any of these characters: import re with open(file_name) as fobj: for line in fobj: line_data = re.split(‘Delim_first|Delim_second|[|]’, line) print(line_data) This will split at the delimiters |, Delim_first, and Delim_second. Or with pandas: import pandas as pd df = pd.read_csv(‘multi_delim.csv’, sep=’Delim_first|Delim_second|[|]’, engine=”python”, header=None) Result:
DELIMITER is not a MySQL command. It’s a command that your MySQL client needs to support. I was running PHPMyAdmin 2.8.2.4, which didn’t support it. When I upgraded to the newest version, which is currently 3.4.9, it worked just fine. Your MySQL version has nothing to do with DELIMITER and whether it’s supported or not. … Read more
Contrary to the question asked, rtrim() will remove any number of characters, listed in the second argument, from the end of the string. In case you expect just a single comma, the following code would do: $newarraynama = rtrim($arraynama, “,”); But in my case I had 2 characters, a comma and a space, so I … Read more
You need to take a look at zero width matching constructs: (?=X) X, via zero-width positive lookahead (?!X) X, via zero-width negative lookahead (?<=X) X, via zero-width positive lookbehind (?<!X) X, via zero-width negative lookbehind
Dealing with unquoted delimiters is always a nuisance. In this case, since it looks like the broken text is known to be surrounded by three correctly-encoded columns, we can recover. TBH, I’d just use the standard Python reader and build a DataFrame once from that: import csv import pandas as pd with open(“semi.dat”, “r”, newline=””) … Read more