![]() ![]() This is because in R the str_split() function is vectorized, meaning that the function can also be performed on a vector of strings, like this: s <- c("Apple", "Snapple") One main difference though is that R returns a list of vectors, so to access the returned vector containing "A" and "le" you have to access the first element in the list, like this: str_split(s, "pp")] # "A" "le" In both languages, the returned list contains the remaining characters after splitting the string (in this case, "A" and "le"). Now that you’ve seen a little about how Python methods work, we’ll get to use some working with strings! The object in Python is more than just a stored value - it’s a source of other methods (depending on the object’s class). The concept of using methods is a major part of the “object-oriented” way of programming, since it’s the object that is the center of attention. You can also see the different methods available for a particular object by calling the dir function on the object: s = "foo"ĭir(s) # ![]() You “call” methods using the name of the object followed by the. Methods are special functions that belong to objects of a certain class. upper() method that belongs to the string "foo", which returns "FOO". ![]()
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