search
HomeBackend DevelopmentPython TutorialHow to Safely Convert Locale-Specific String Numbers to Floats in Python?

How to Safely Convert Locale-Specific String Numbers to Floats in Python?

How to Convert a String with Dot and Comma into a Float in Python

Using Localization Services

Default Locale

The Python locale module offers an interface to C-based localization routines.

import locale
locale.atof('123,456.908')

However, this approach requires explicitly setting the locale to match the platform's settings:

locale.setlocale(locale.LC_ALL, '')

Locale from Environment

Alternatively, you can obtain locale settings from the environment:

locale.setlocale(locale.LC_ALL, "")
locale.atof("123,456.908")

Explicit Locale Setting

You can also specify a specific locale by name:

locale.setlocale(locale.LC_NUMERIC, 'en_DK.UTF-8')
locale.atof('123,456.789') # Returns 123.456789 with period as thousands separator

Caveats

Setting the locale globally affects the entire program and should be done with caution. Extension modules should not call setlocale().

The above is the detailed content of How to Safely Convert Locale-Specific String Numbers to Floats in Python?. For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
How does the choice between lists and arrays impact the overall performance of a Python application dealing with large datasets?How does the choice between lists and arrays impact the overall performance of a Python application dealing with large datasets?May 03, 2025 am 12:11 AM

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

Explain how memory is allocated for lists versus arrays in Python.Explain how memory is allocated for lists versus arrays in Python.May 03, 2025 am 12:10 AM

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

How do you specify the data type of elements in a Python array?How do you specify the data type of elements in a Python array?May 03, 2025 am 12:06 AM

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

What is NumPy, and why is it important for numerical computing in Python?What is NumPy, and why is it important for numerical computing in Python?May 03, 2025 am 12:03 AM

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

Discuss the concept of 'contiguous memory allocation' and its importance for arrays.Discuss the concept of 'contiguous memory allocation' and its importance for arrays.May 03, 2025 am 12:01 AM

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

How do you slice a Python list?How do you slice a Python list?May 02, 2025 am 12:14 AM

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

What are some common operations that can be performed on NumPy arrays?What are some common operations that can be performed on NumPy arrays?May 02, 2025 am 12:09 AM

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

How are arrays used in data analysis with Python?How are arrays used in data analysis with Python?May 02, 2025 am 12:09 AM

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

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

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

Hot Tools

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Linux new version

SublimeText3 Linux new version

SublimeText3 Linux latest version

MantisBT

MantisBT

Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use