The optimizer should eliminate most of the local variables. The tmp pointer is there to make sure strcpy doesn’t have to walk the string to find the null. tmp points to the end of result after each call. (See Shlemiel the painter’s algorithm for why strcpy can be annoying.) // You must free the result … Read more
Actually in later versions of pandas this will give a TypeError: df.replace(‘-‘, None) TypeError: If “to_replace” and “value” are both None then regex must be a mapping You can do it by passing either a list or a dictionary: In [11]: df.replace(‘-‘, df.replace([‘-‘], [None]) # or .replace(‘-‘, {0: None}) Out[11]: 0 0 None 1 3 … Read more
This should do it: for file in *; do mv “$file” `echo $file | tr ‘ ‘ ‘_’` ; done
string ReplaceFirst(string text, string search, string replace) { int pos = text.IndexOf(search); if (pos < 0) { return text; } return text.Substring(0, pos) + replace + text.Substring(pos + search.Length); } Example: string str = “The brown brown fox jumps over the lazy dog”; str = ReplaceFirst(str, “brown”, “quick”); EDIT: As @itsmatt mentioned, there’s also Regex.Replace(String, … Read more
I’m thinking by “paste” you mean the unnamed (yank/put/change/delete/substitute) register, right? (Since that’s the one that’d get overwritten by the change command.) Registers are generally specified by typing ” then the name (single character) of the register, like “ay then “ap to yank into register a, then put the contents of register a. Same goes … Read more
The easiest way is to use the replace method on the column. The arguments are a list of the things you want to replace (here [‘ABC’, ‘AB’]) and what you want to replace them with (the string ‘A’ in this case): >>> df[‘BrandName’].replace([‘ABC’, ‘AB’], ‘A’) 0 A 1 B 2 A 3 D 4 A … Read more
with open(“Stud.txt”, “rt”) as fin: with open(“out.txt”, “wt”) as fout: for line in fin: fout.write(line.replace(‘A’, ‘Orange’))
If all your columns are numeric, you can use boolean indexing: In [1]: import pandas as pd In [2]: df = pd.DataFrame({‘a’: [0, -1, 2], ‘b’: [-3, 2, 1]}) In [3]: df Out[3]: a b 0 0 -3 1 -1 2 2 2 1 In [4]: df[df < 0] = 0 In [5]: df Out[5]: … Read more
Yes, there is Multiple Files search and replace. Press Ctrl + Shift + F (Cmd + shift + F on macOS): In the Where field, you can also add filters to search only folders and files that you need. If nothing is set, the search is made on all files listed in the sidebar. If … Read more
Use $n (where n is a digit) to refer to captured subsequences in replaceFirst(…). I’m assuming you wanted to replace the first group with the literal string “number” and the second group with the value of the first group. Pattern p = Pattern.compile(“(\\d)(.*)(\\d)”); String input = “6 example input 4”; Matcher m = p.matcher(input); if … Read more