如果你想导入一个模块，如果它存在，并且忽略导入它，如果该模块不存在，你可以使用下面的代码:

try:
    import a_module
except ImportError:
    pass
# The rest of your code

如果您避免编写pass语句并继续编写其余代码，则会引发IndentationError，因为打开except块后的行没有缩进。

Pass只是空的表示代码。

例如，pass用于创建一个空类或函数，如下所示:

class Test:
    pass

def test():
    pass

但是，如果一个类或函数真的没有任何东西，甚至通过如下所示:

class Test:
    # pass

def test():
    # psss

出现如下错误:

SyntaxError:解析时意外的EOF

正如我之前所说，pass只是空的指示代码，所以如果在pass之后有一些代码，代码的工作方式如下所示:

class Test:
    pass
    x = "Hello World"

def test():
    pass
    return "Hello World"

print(Test.x) # Hello World
print(test()) # Hello World

Python在语法上要求代码块(在if, except, def, class等之后)不能为空。然而，空代码块在各种不同的上下文中都很有用，比如下面的例子，这是我见过的最常见的用例。

因此，如果在代码块中不希望发生任何事情，则需要一个传递以使该代码块不产生IndentationError。或者，任何语句(包括一个要求值的项，如Ellipsis字面量…)可以使用字符串(通常是docstring)，但该传递清楚地表明，实际上不应该发生任何事情，也不需要实际计算并(至少暂时)存储在内存中。

Ignoring (all or) a certain type of Exception (example from xml): try: self.version = "Expat %d.%d.%d" % expat.version_info except AttributeError: pass # unknown Note: Ignoring all types of raises, as in the following example from pandas, is generally considered bad practice, because it also catches exceptions that should probably be passed on to the caller, e.g. KeyboardInterrupt or SystemExit (or even HardwareIsOnFireError – How do you know you aren't running on a custom box with specific errors defined, which some calling application would want to know about?). try: os.unlink(filename_larry) except: pass Instead using at least except Error: or in this case preferably except OSError: is considered much better practice. A quick analysis of all Python modules I have installed gave me that more than 10% of all except ...: pass statements catch all exceptions, so it's still a frequent pattern in Python programming. Deriving an exception class that does not add new behaviour (e.g., in SciPy): class CompileError(Exception): pass Similarly, classes intended as abstract base class often have an explicit empty __init__ or other methods that subclasses are supposed to derive (e.g., pebl): class _BaseSubmittingController(_BaseController): def submit(self, tasks): pass def retrieve(self, deferred_results): pass Testing that code runs properly for a few test values, without caring about the results (from mpmath): for x, error in MDNewton(mp, f, (1,-2), verbose=0, norm=lambda x: norm(x, inf)): pass In class or function definitions, often a docstring is already in place as the obligatory statement to be executed as the only thing in the block. In such cases, the block may contain pass in addition to the docstring in order to say “This is indeed intended to do nothing.”, for example in pebl: class ParsingError(Exception): """Error encountered while parsing an ill-formed datafile.""" pass In some cases, pass is used as a placeholder to say “This method/class/if-block/... has not been implemented yet, but this will be the place to do it”, although I personally prefer the Ellipsis literal ... in order to strictly differentiate between this and the intentional “no-op” in the previous example. (Note that the Ellipsis literal is a valid expression only in Python 3) For example, if I write a model in broad strokes, I might write def update_agent(agent): ... where others might have def update_agent(agent): pass before def time_step(agents): for agent in agents: update_agent(agent) as a reminder to fill in the update_agent function at a later point, but run some tests already to see if the rest of the code behaves as intended. (A third option for this case is raise NotImplementedError. This is useful in particular for two cases: Either “This abstract method should be implemented by every subclass, and there isn't a generic way to define it in this base class”, or “This function, with this name, is not yet implemented in this release, but this is what its signature will look like”)

Pass is usually helpful when you are writing code to design a game or something of that type , now as you proceed with the code , you would realize that , there are some functions you don't want to move ahead and want to leave it untouched and move further on with the code and then revisit the function later , but as you do so , the compiler would obviously thrown an error saying it isn't either recognized and all sorts of other things!! In this condition you use pass so that the compiler would simply neglect the function and move further on with the code !!

例如:

if __name__ = "__main__":
pass
print("Hello World!")

在这里，编译器将忽略if name部分，并按照指示打印Hello World !!

谢谢!

Pass指忽略…就是这么简单。如果给定的条件为真，并且下一个语句是通过的，它将忽略该值或迭代并继续执行下一行。

例子:

for i in range (1, 100):
    if i%2 == 0:
        pass
    else:
        print(i)

输出:输出1-100之间的所有奇数

这是因为一个偶数的模量等于零，因此它会忽略这个数字，继续下一个数字。由于奇数的模量不等于零，循环的else部分被执行并打印出来。

如果你想导入一个模块，如果它存在，并且忽略导入它，如果该模块不存在，你可以使用下面的代码:

try:
    import a_module
except ImportError:
    pass
# The rest of your code

如果您避免编写pass语句并继续编写其余代码，则会引发IndentationError，因为打开except块后的行没有缩进。