Range.Replace is always true for Chr(1)

The reason can be inferred from the difference between NUL : No character. It is used for filling in time or filling space on the surface (such as surface of platter) of storage device where there are no data. We’ll use this character when we’ll be doing programming for data wipers (destructive and non-destructive both) … Read more

Find and replace regex in Intellij, but keep some of the matched regex?

Use the following regex replacement: Find: myObject\[(.*?)\] Replace: myObject.get($1) If the index is an integer, you may replace (.*?) with (\d+). The pair of unescaped parentheses creates a capturing group that we may reference from the replacement pattern using $ + Group ID. $1 will insert the index into the replacement result.

Replacing the ‘auto_link’ method in Ruby on Rails 3.1

Rinku is a drop-in replacement for Rails 3.1 auto_link. Auto-linking functionality has been removed from Rails 3.1, and is instead offered as a standalone gem, rails_autolink. You can choose to use Rinku instead. require ‘rails_rinku’ The rails_rinku package monkeypatches Rails with an auto_link method that mimics 100% the original one, parameter per parameter. It’s just … Read more

Batch script to find and replace a string in text file within a minute for files up to 12 MB

Give this a shot: @echo off setlocal call :FindReplace “findstr” “replacestr” input.txt exit /b :FindReplace <findstr> <replstr> <file> set tmp=”%temp%\tmp.txt” If not exist %temp%\_.vbs call :MakeReplace for /f “tokens=*” %%a in (‘dir “%3” /s /b /a-d /on’) do ( for /f “usebackq” %%b in (`Findstr /mic:”%~1″ “%%a”`) do ( echo(&Echo Replacing “%~1” with “%~2” in … Read more

How to remove commas from ALL the column in pandas at once

Numeric columns have no ,, so converting to strings is not necessary, only use DataFrame.replace with regex=True for substrings replacement: df = df.replace(‘,’,”, regex=True) Or: df.replace(‘,’,”, regex=True, inplace=True) And last convert strings columns to numeric, thank you @anki_91: c = df.select_dtypes(object).columns df[c] = df[c].apply(pd.to_numeric,errors=”coerce”)

How to remove everything but letters, numbers, space, exclamation and question mark from string?

You can use regex myString.replace(/[^\w\s!?]/g,”); This will replace everything but a word character, space, exclamation mark, or question. Character Class: \w stands for “word character”, usually [A-Za-z0-9_]. Notice the inclusion of the underscore and digits. \s stands for “whitespace character”. It includes [ \t\r\n]. If you don’t want the underscore, you can use just [A-Za-z0-9]. … Read more