I’ve got a string with words that are separated by spaces (all words are unique, no duplicates). I turn this string into list:
I have for example the following list:
Is there a function in python to split a word into a list of single letters? e.g: s="Word to Split" to get wordlist=['W','o','r','d','','t','o' ….] Answers:…
I’ve used multiple ways of splitting and stripping the strings in my pandas dataframe to remove all the ‘n’characters, but for some reason it simply doesn’t want to delete the characters that are attached to other words, even though I split them. I have a pandas dataframe with a column that captures text from web pages using Beautifulsoup. The text has been cleaned a bit already by beautifulsoup, but it failed in removing the newlines attached to other characters. My strings look a bit like this:
I have a text file which I want to split into 64 unequal parts, according to the 64 hexagrams of the Yi Jing. Since the passage for each hexagram begins with some digit(s), a period, and two newlines, the regex should be pretty easy to write.
I have a string in the next format
If I have a large file and need to split it into 100 megabyte chunks I will do
I need to split a
.txt file into smaller ones containing 100 lines each, including the header. I don’t know if this is relevant, but the original file is delimited like this:
I have a large
.sql file full of
SELECT statements that contain data I want to insert into my SQL Server database. I’m looking for how I could basically take the file’s contents, 100 lines at a time, and pass it to the commands I have set to do the rest.
How to split a large file into two parts, at a pattern?