What is the difference between `sep` and `delimiter` attributes in pandas.read_csv() method?为sep delimiter read_csv函数的pandas和sep个参数之间的差异寻找答案。
answers和documentation明确指出delimiter和sep是相同的。
read_fwf和to_csv中不存在这种分离，仅举几例;但存在于read_table。
尽管如此，以上都没有解释为什么存在这种分离以及为什么需要它。您能否告诉我们将delimiter和read_csv与read_table和CREATE OR REPLACE FUNCTION totalstudent (v_gender IN VARCHAR2)
RETURN NUMBER
IS
total_gender NUMBER (2) := 0;
BEGIN
SELECT COUNT (*)
INTO total_gender
FROM New_Student
WHERE gender = v_gender;
RETURN total_gender;
END;
-- The code I used to call it
DECLARE
c NUMBER (2);
BEGIN
c := totalstudent ('Male');
DBMS_OUTPUT.put_line ('Total Number of Male is' || c);
c := totalstudent ('Female');
DBMS_OUTPUT.put_line ('Total Number of Female is' || c);
END;
分开的用途是什么？