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Python numpy array expansion efficiency
The ndarray of the Numpy library allows you to conveniently process multiple dimensions of data.
But its biggest drawback is that it cannot be dynamically expanded -- "The NumPy array does not have this function of dynamically changing the size, numpy. the append () function will re-allocate the entire
similar, but tuples cannot be modified.For tuples, commas are key, and parentheses do not necessarily have to be>>> items= ("Nine Yang", "Big ship", "Peace", "gold")>>> Items(' Nine Yang ', ' Big ship ', ' peace ', ' gold ')>>> Items[2]Peace>>> Items[:1](' Nine Yang ',)>>> items[2:](' Peace ', ' gold ')>>> items2=items[:]>>> ITEMS2(' Nine Yang ', ' Big ship ', ' peace ', ' gold ')>>>Can the tuple change in disguise, the answer is yes.>>> items2 = ite
-repeating data structure that can be directly used to find the intersection, the set, and the difference set. Thus, the above questions can be directly written as follows:1 ImportCopy2 3a=[1,2,3,4,5,7,9,11,19,17]4b=[1,2,4,5,6,8,10,12,14,22,16,15]5 6A=Copy.copy (a)7b=copy.copy (b)8 9 Print "a=", ATen Print "b=", B One Print "another to solve it:" A PrintList (set (B)-set (A))View CodeThe result of the output is:Another to solve it:[6, 8, 10, 12, 14, 15, 16, 22]The result is also correct.The idea
This is a created
article in which the information may have evolved or changed.
What is an array? Arrays are defined at the beginning of the length, generally not defined length is not called an array, because the array in memory is a contiguous memory, if not defined length, it is likely to change the memory address
:
find_shortest
Find the shortest substring starting with it. In the example above, if I search abra , then it should return abra instead abracadabra .
find_longest
Find the oldest string that starts with it. If I search abra , you return abracadabra .
find_all
Finds all the substrings starting with it. This means that the abra return abra and abracadabra .
You will need to do a good automated test of this a
List:1. That is, list, which is the data type built into Python. Its form is: a = [1, 2, 3, 4, 5]2. The values in the list can be changed, that is, you can: a[0] = 100, change the No. 0 element of the list to 1003.Meta-group:That is, a tuple, also a python built-in type, in the form of: B = 1, 2, 3, 4, 5 (this is its original sample) but sometimes the parentheses
You need to use a two-dimensional array in your program to find such a usage on the Web:
123456
#创建一个宽度为3,高度为4的数组#[[0,0,0], # [0,0,0],# [0,0,0],# [0,0,0]]myList =[[0] * 3] *4
But when operation mylist[0][1] = 1 o'clock, the entire second column is found to be assigned, which becomes[[0,1,0],[0,1,0],[0,1,0],[0,1,0]]Why... The Python standard Library found the answer in the bac
The final completion of my world phase, joined the statistics hot up Main module: Statistics all the video of up to the number of times, get the top 10 of the up master.
The main process is:
All the author of the database are put into an array and counted;
The number of times to order, of course, the corresponding up owners also need to follow, so take into account the use of dictionaries;
Gets the top 10 owners.
In the process I have been helped by:
[Zero-basic learning Python note 012] an array of hormones 3 illustrationList Operators
Comparison operator logical operator join operator repeat operator member Operator
+ Indicates two connections; * Indicates replication.
The types of "+" in list must be consistent.
Example:
Note:: You can use append () or insert () to add elements ()
In and not
The method for viewing an element that is no
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