Since python2.6, a new function str.format() for formatting strings has been added, which is very powerful. So, what advantages does it have compared with the previous % formatted string? Let's unveil its shyness.
Syntax
It uses {} and: instead of %
Positional method formatting
>>> '{}.{}'.format('pythontab', 'com') 'pythontab.com' >>> '{}.{}.{}'.format('www', 'pythontab', 'com') 'www.pythontab.com' >>> '{1}.{2}'.format('www', 'pythontab', 'com') 'pythontab.com' >>> '{1}.{2} | {0}.{1}.{2}'.format('www', 'pythontab', 'com') 'pythontab.com | www.pythontab.com'
The format function of the string can accept unlimited parameters, the parameter positions can be out of order, and the parameters can not be used or Used multiple times, very flexible
Note: It cannot be empty {} under python2.6, but it can be used in python2.7 or above.
By keyword parameters
>>> '{domain}, {year}'.format(domain='www.pythontab.com', year=2016) 'www.pythontab.com, 2016' >>> '{domain} ### {year}'.format(domain='www.pythontab.com', year=2016) 'www.pythontab.com ### 2016' >>> '{domain} ### {year}'.format(year=2016,domain='www.pythontab.com') 'www.pythontab.com ### 2016'
By object properties
>>> class website: def __init__(self,name,type): self.name,self.type = name,type def __str__(self): return 'Website name: {self.name}, Website type: {self.type} '.format(self=self) >>> print str(website('pythontab.com', 'python')) Website name: pythontab.com, Website type: python >>> print website('pythontab.com', 'python') Website name: pythontab.com, Website type: python
By subscript
>>> '{0[1]}.{0[0]}.{1}'.format(['pyhtontab', 'www'], 'com') 'www.pyhtontab.com'
With these convenient "mapping" methods, we have a lazy tool. Basic python knowledge tells us that lists and tuples can be "broken" into ordinary parameters for functions, while dict can be broken into keyword parameters for functions (through and *). So you can easily pass a list/tuple/dict to the format function, which is very flexible.
Format qualifiers
It has a wealth of "format qualifiers" (the syntax is {} with a symbol in it), such as:
Padding and alignment
Padding is often used together with alignment
^, They are centered, left-aligned and right-aligned respectively, followed by width
: The padding character after the sign can only be one character. If not specified, the default is to fill it with spaces
Code example:
>>> '{:>10}'.format(2016) ' 2016' >>> '{:#>10}'.format(2016) '######2016' >>> '{:0>10}'.format(2016) '0000002016'
Number Precision and type f
Precision is often used together with type f
>>> '{:.2f}'.format(2016.0721) '2016.07'
Where. 2 represents the precision of length 2, and f represents the float type.
Other types
are mainly based on base. b, d, o, and x are binary, decimal, octal, and hexadecimal respectively.
>>> '{:b}'.format(2016) '11111100000' >>> '{:d}'.format(2016) '2016' >>> '{:o}'.format(2016) '3740' >>> '{:x}'.format(2016) '7e0' >>>
Used, the number can also be used as the thousands separator for the amount.
>>> '{:,}'.format(20160721) '20,160,721'
The function of format is too powerful, and there are many functions. You can try it.

ForhandlinglargedatasetsinPython,useNumPyarraysforbetterperformance.1)NumPyarraysarememory-efficientandfasterfornumericaloperations.2)Avoidunnecessarytypeconversions.3)Leveragevectorizationforreducedtimecomplexity.4)Managememoryusagewithefficientdata

InPython,listsusedynamicmemoryallocationwithover-allocation,whileNumPyarraysallocatefixedmemory.1)Listsallocatemorememorythanneededinitially,resizingwhennecessary.2)NumPyarraysallocateexactmemoryforelements,offeringpredictableusagebutlessflexibility.

InPython, YouCansSpectHedatatYPeyFeLeMeReModelerErnSpAnT.1) UsenPyNeRnRump.1) UsenPyNeRp.DLOATP.PLOATM64, Formor PrecisconTrolatatypes.

NumPyisessentialfornumericalcomputinginPythonduetoitsspeed,memoryefficiency,andcomprehensivemathematicalfunctions.1)It'sfastbecauseitperformsoperationsinC.2)NumPyarraysaremorememory-efficientthanPythonlists.3)Itoffersawiderangeofmathematicaloperation

Contiguousmemoryallocationiscrucialforarraysbecauseitallowsforefficientandfastelementaccess.1)Itenablesconstanttimeaccess,O(1),duetodirectaddresscalculation.2)Itimprovescacheefficiencybyallowingmultipleelementfetchespercacheline.3)Itsimplifiesmemorym

SlicingaPythonlistisdoneusingthesyntaxlist[start:stop:step].Here'showitworks:1)Startistheindexofthefirstelementtoinclude.2)Stopistheindexofthefirstelementtoexclude.3)Stepistheincrementbetweenelements.It'susefulforextractingportionsoflistsandcanuseneg

NumPyallowsforvariousoperationsonarrays:1)Basicarithmeticlikeaddition,subtraction,multiplication,anddivision;2)Advancedoperationssuchasmatrixmultiplication;3)Element-wiseoperationswithoutexplicitloops;4)Arrayindexingandslicingfordatamanipulation;5)Ag

ArraysinPython,particularlythroughNumPyandPandas,areessentialfordataanalysis,offeringspeedandefficiency.1)NumPyarraysenableefficienthandlingoflargedatasetsandcomplexoperationslikemovingaverages.2)PandasextendsNumPy'scapabilitieswithDataFramesforstruc


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

WebStorm Mac version
Useful JavaScript development tools

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment
