模块,用一砣代码实现了某个功能的代码集合。 类似于函数式编程和面向过程编程,函数式编程则完成一个功能,其他代码用来调用即可,提供了代码的重用性和代码间的耦合。而对于一个复杂的功能来,可能需要多个函数才能完成(函数又可以在不同的.py文件中),n个 .py 文件组成的代码集合就称为模块。 如:os 是系统相关的模块;file是文件
实现在函数执行和执行拓展功能仔细体会一句话：A function that returns a callable function.函数名当作参...
This integer is referred to as the return code or exit status. Zero is synonymous with success, while any other value is considered a failure. Different integers can be used to indicate the reason why a process has failed. In the same way that you can return a value from a function in...
When a return, break or continue statement is executed in the try suite of a "try…finally" statement, the finally clause is also executed on the way out. The return value of a function is determined by the last return statement executed. Since the finally clause always executes, a return...
Python 1def addition(num_1, num_2): 2 return num_1 + num_1 Line 1 in this code is the same as it was before, you have only changed line 2 and deleted line 3. Line 2 now computes the value of num_1 + num_2 and returns that value back to the caller of the function. ...
that file as input instead. This is known as creating ascript. As your program gets longer, you may want to split it into several files for easier maintenance. You may also want to use a handy function that you’ve written in several programs without copying its definition into each ...
However, sys.breakpointhook() can be set to some other function and breakpoint() will automatically call that, allowing you to drop into the debugger of choice. New in version 3.7. (二).大意 这个函数会使你进入调试模式。具体来说,它调用sys.breakpointhook(),直接传递args和kws。
date_parser : function, default None Function to use for converting a sequence of string columns to an array of datetime instances. The default uses ``dateutil.parser.parser`` to do the conversion. Pandas will try to call date_parser in three different ways, advancing to the next if an ...
Help on function read_excel in module pandas.io.excel._base:read_excel(io, sheet_name=0, header=0, names=None, index_col=None, usecols=None, squeeze=False, dtype: 'DtypeArg | None' = None, engine=None, converters=None, true_values=None, false_values=None, skiprows=None, nrows=None...
在3.9 版更改: The function no longer strips whitespaces from stderr. test.support.script_helper.assert_python_ok(*args, **env_vars) Assert that running the interpreter with args and optional environment variables env_vars succeeds (rc == 0) and return a (return code, stdout, stderr) tupl...