python 语法,,4.7.3. Arb


4.7.3. Arbitrary Argument ListsFinally, the least frequently used option is to specify that a function can be called with an arbitrary number of arguments. These arguments will be wrapped up in a tuple (see Tuples and Sequences). Before the variable number of arguments, zero or more normal arguments may occur.def write_multiple_items(file, separator, *args):    file.write(separator.join(args))Normally, these variadic arguments will be last in the list of formal parameters, because they scoop up all remaining input arguments that are passed to the function. Any formal parameters which occur after the *args parameter are 慿eyword-only? arguments, meaning that they can only be used as keywords rather than positional arguments.>>> def concat(*args, sep="/"):...     return sep.join(args)...>>> concat("earth", "mars", "venus")‘earth/mars/venus‘>>> concat("earth", "mars", "venus", sep=".")‘earth.mars.venus‘4.7.4. Unpacking Argument ListsThe reverse situation occurs when the arguments are already in a list or tuple but need to be unpacked for a function call requiring separate positional arguments. For instance, the built-in range() function expects separate start and stop arguments. If they are not available separately, write the function call with the *-operator to unpack the arguments out of a list or tuple:>>> list(range(3, 6))            # normal call with separate arguments[3, 4, 5]>>> args = [3, 6]>>> list(range(*args))            # call with arguments unpacked from a list[3, 4, 5]In the same fashion, dictionaries can deliver keyword arguments with the **-operator:>>> def parrot(voltage, state=‘a stiff‘, action=‘voom‘):...     print("-- This parrot wouldn‘t", action, end=‘ ‘)...     print("if you put", voltage, "volts through it.", end=‘ ‘)...     print("E‘s", state, "!")...>>> d = {"voltage": "four million", "state": "bleedin‘ demised", "action": "VOOM"}>>> parrot(**d)-- This parrot wouldn‘t VOOM if you put four million volts through it. E‘s bleedin‘ demised !

python 语法

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