Replacing blank values (white space) with NaN in pandas I want to find all values in a Pandas dataframe that contain whitespace (any arbitrary amount) and replace those values with NaNs Any ideas how this can be improved? Basically I want to turn thi
How to replace multiple substrings of a string? - Stack Overflow After some benchmarking on using replace several times vs regex replacement on a string of increasing length by power of 2 with 100 replacements added, it seems that on my computer this method is the slowest when the length of the string is lower than 500 characters, and the fastest otherwise
Replace multiple substrings in a Pandas series with a value Add the keyword argument regex=True to Series replace() (not Series str replace) This does two things actually: It changes your replacement to regex replacement, which is much more powerful but you will have to escape special characters Beware for that Secondly it will make the replace work on substrings instead of the entire string
How to search and replace text in a file - Stack Overflow As pointed out by michaelb958, you cannot replace in place with data of a different length because this will put the rest of the sections out of place I disagree with the other posters suggesting you read from one file and write to another Instead, I would read the file into memory, fix the data up, and then write it out to the same file in a separate step