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Yield (saves the execution state of the function)A function with yield is a generator, which, unlike a normal function, generates a generator that looks like a function call, but does not execute any function code until it calls next () (which is automatically called next ()
Recently in the analysis of the data, with some simple filtering, but also learned, lambda and startwith some usage, write a memo below, first understand lambda. This is a small usage of a similar function, which can be used in conjunction with the filter:>>> Xiaoluo = lambda x,y:x+y>>> print Xiaoluo ($) 3>>> print Xia
One, lambda expression1>>>defAdd (x, y):#Define an addition function2 returnX+y#returns the added value of two parameters3 4>>> z=f (3,4) 5>>>Print(z)67#Call the addition function to return 77>>>Lambdax,y:x+y8Lambda> at 0x0000020f385b86a8>9 #you can see that the lambda is a function class objectTen>>
Map function:
Prototype: Map (function, sequence), which maps a list to another list,How to use:def f (x):Return x**2L = Range (1,10)Map (f,l)OUT[3]: [1, 4, 9, 16, 25, 36, 49, 64, 81]
Reduce function
Prototype: reduce (function, sequence, startvalue), which is to summarize a list as an output,How to
Map function:
Prototype: Map (function, sequence), which maps a list to another list, How to use: def f (x): Return x**2 L = Range (1,10) Map (f,l) OUT[3]: [1, 4, 9, 16, 25, 36, 49, 64, 81]
Reduce function
Prototype: reduce (function, sequence, startvalue), which is to summarize a list as an outpu
Lambda expression, this bird thing is to define a function in one line of statements.
Http://woodpecker.org.cn/diveintopython/power_of_introspection/lambda_functions.html
>>> def f (x):
... Return x*2 ...
>>> F (3)
6
>>> g = lambda x:x*2 >>> g (3)
6
>>> (lambda x:x*2) ( 3) # 6
The List is the most frequen
/tuple/string and an initial value, and the return value is numeric.#Coding=utf-8" "Created on 2016-12-14@author:jennifer Project: Usage of filter, map, reduce, lambda in Python" "#1.LAMBDA usage, before the colon is the argument, after the colon is the expression, the return value, the simplest functionPrint[(LambdaX:X*X) (x) forXinchRange (11)]#results: [0, 1,
be processed,initval is the initial value 2. Code1 array=[1,2,3,4,5,6,7]2Lambda x,y:x+y3 ans2= reduce (add , array,0)4print ans3. Function prototypes1 defreduce (function,array,initval):2TMP =list (array)3 ifInitval isNone:4Ans = list.pop (0)#take the first element of the list and delete5 Else:6Ans =Initval7 foreachinchtmp:8Ans =function (Ans,
One or three-tuple operator# when the condition is met 1 o'clock, the res= value is 1; otherwise res= value 2 if Else value 2To illustrate:res=10# Simple If Else statement if abs (res) >0: = 10**2else: Res =0# implemented with ternary operators above if elseifelse 0Second, lambda expression# to define a simple function def func (x, y): return x+y#lambda
example, you can use to sum a list:defAdd (x, y):returnX +yPrintReduce (Add, range (1, 11)) Note:1+2+3+4+5+6+7+8+9+10reduce (Add, range (1, 11), 20) Note:1+2+3+4+5+6+7+8+9+10+20 iv.Lambda This is Python support an interesting syntax that allows you to quickly define a single line of the smallest function, similar to the C language of the macro, these functions, called
Return has two functions:1. Used to return the run result of a function, or to call another function. such as the Max () function>>> def fun (A, B): 2. The sign of the end of the function. As soon as the return is run, the function is forced to end. The program after retur
Python advanced tutorial function object (function is also an object), python advanced tutorial
Adhering to the idea that everything is an object, let's look back at functions again ). A function is also an object with attributes (which can be queried using dir ). As an obje
.3.4 function Programming
Python includes some common functions in function programming languages and Lisp, such as anonymous functions, high-level functions, and list meanings, I have introduced the last question in "2 operators, expressions, and process control". This chapter only introduces anonymous and high-level functions.3.4.1 anonymous Functions
This article mainly introduces the Python function Programming Guide (2): Starting from the function, this article explains how to define a function, use function assignment, closure, as a parameter, and so on, for more information, see
2. Start with the
Python function Programming Guide (2): python programming guide from the beginning
2. Start with the function2.1. Define a functionA Summation function is defined as follows:
Copy codeThe Code is as follows:Def add (x, y ):Return x + y
For more information about the syntax of parameters and returned values, see other d
anonymous functions /Anonymous functionAn anonymous function is a function that does not require a binding function name (i.e. functions, which is not bound to a name). Anonymous functions are built with lambda expressions. Often used to quickly establish a (one-time) function.Note:
Function programming in python and python function Programming
One feature of functional programming is to allow1. Pass the function itself as a parameter to another function!2. Return a func
F (A, B)
Test (func, 3, 5)
The first argument f of the test function is a function object. Passing Func to F () in F,test has the function of func ().
We can therefore increase the flexibility of the program. You can use the test function above to bring in different fu
parameters are called indefinite parameters and are not named when declared, unlike the 2 parameters mentioned above. The basic syntax is as follows:
Copy Code code as follows:
def functionname ([Formal_args,] *var_args_tuple):
"Function _ Document String"
Function_suite
return [expression]
The variable name with an asterisk (*) holds all the unnamed variable parameters. You can also select a parameter that does not have multip
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