Python | Numpy numpy.ndarray.__imul__() Last Updated : 22 Jul, 2021 Comments Improve Suggest changes Like Article Like Report With the help of numpy.ndarray.__imul__() method, we can multiply a particular value that is provided as a parameter in the ndarray.__imul__() method. Value will be multiplied to every element in a numpy array. Syntax: ndarray.__imul__($self, value, /)Return: self*=value Example #1 : In this example we can see that each and every element in an array is multiplied with the value given as a parameter in method ndarray.__imul__(). Remember this method will work with every type of numeric value. Python3 # import the important module in python import numpy as np # make an array with numpy gfg = np.array([1.2, 2.6, 3, 4.5, 5]) # applying ndarray.__imul__() method print(gfg.__imul__(5)) Output: [ 6. 13. 15. 22.5 25. ] Example #2 : Python3 # import the important module in python import numpy as np # make an array with numpy gfg = np.array([[1, 2.2, 3, 4, 5.01], [6.1, 5, 4.8, 3, 2]]) # applying ndarray.__imul__() method print(gfg.__imul__(3)) Output: [[ 3. 6.6 9. 12. 15.03] [ 18.3 15. 14.4 9. 6. ]] Comment More infoAdvertise with us Next Article Company-wise Practice Problems J jitender_1998 Follow Improve Article Tags : Python Python-numpy Python numpy-ndarray Practice Tags : python Similar Reads Interview PreparationInterview Preparation For Software DevelopersMust Coding Questions - Company-wise Must Do Coding Questions - Topic-wiseCompany-wise Practice ProblemsCompany PreparationCompetitive ProgrammingSoftware Design-PatternsCompany-wise Interview ExperienceExperienced - Interview ExperiencesInternship - Interview ExperiencesPractice @GeeksforgeeksProblem of the DayTopic-wise PracticeDifficulty Level - SchoolDifficulty Level - BasicDifficulty Level - EasyDifficulty Level - MediumDifficulty Level - HardLeaderboard !!Explore More...Data StructuresArraysLinked ListStackQueueBinary TreeBinary Search TreeHeapHashingGraphAdvance Data StructuresMatrixStringAll Data StructuresAlgorithmsAnalysis of AlgorithmsSearching AlgorithmsSorting AlgorithmsPattern SearchingGeometric AlgorithmsMathematical AlgorithmsRandomized AlgorithmsGreedy AlgorithmsDynamic ProgrammingDivide & ConquerBacktrackingBranch & BoundAll AlgorithmsProgramming LanguagesCC++JavaPythonC#Go LangSQLPHPScalaPerlKotlinWeb TechnologiesHTMLCSSJavaScriptBootstrapTailwind CSSAngularJSReactJSjQueryNodeJSPHPWeb DesignWeb BrowserFile FormatsComputer Science SubjectsOperating SystemsDBMSComputer NetworkComputer Organization & ArchitectureTOCCompiler DesignDigital Elec. & Logic DesignSoftware EngineeringEngineering MathematicsData Science & MLComplete Data Science CourseData Science TutorialMachine Learning TutorialDeep Learning TutorialNLP TutorialMachine Learning ProjectsData Analysis TutorialTutorial LibraryPython TutorialDjango TutorialPandas TutorialKivy TutorialTkinter TutorialOpenCV TutorialSelenium TutorialGATE CSGATE CS NotesGate CornerPrevious Year GATE PapersLast Minute Notes (LMNs)Important Topic For GATE CSGATE CoursePrevious Year Paper: CS exams Like