Array Manipulation | Insert and Delete Function | NumPy Tutorials | Python Programming

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  • Опубліковано 4 лип 2024
  • In this Python Programming video tutorial you will learn about array manipulation in detail. Here We will discuss how to insert or delete or append elements to given array in detail.
    NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
    Here we will discuss about insert append and delete function in detail.
    #numpy #Python
    For more free tutorials on computer programming
    / amulsacademy
    / amulsacademy

КОМЕНТАРІ • 36

  • @dileepkumar5839
    @dileepkumar5839 4 роки тому +11

    The best python tutorials that I've ever seen in UA-cam.. 200+ videos.. Love u mam.. Loads of love from Hyderabad.. I'm currently in 3rd year.. Ur videos are very helpful for our campus placements.. kindly make some important coding questions from C n data structures also that will b very helpful for our placements

  • @jeyaprakash2694
    @jeyaprakash2694 4 роки тому +5

    Your tutorial and your clear explanation is easy to understand.It's really helpful me to study python programming

  • @ibiamapexcel
    @ibiamapexcel 3 роки тому +3

    This is one of the best tutorials I have ever had on programming language. I have been diligently following the playlist although I can't seem to find the ones on Scipy and Panda....that were mentioned earlier at the introduction.
    My dear, you are good, the bets actually... I give it to you.
    The voice is synonymous with the lady that taught In touch wonderware SCADA programming on instrumentation tools.
    Are you the same person pls?

    • @AmulsAcademy
      @AmulsAcademy  3 роки тому +1

      Thank you so much 😊
      Yes playlist is incomplete. After completing matplotlib I will start acing and pandas.
      And for the last question : No 😊❤️

  • @AJ-et3vf
    @AJ-et3vf 2 роки тому

    Awesome video! Thank you!

  • @thinkforever7604
    @thinkforever7604 4 роки тому +2

    Make a video on different types of sorting... It's there in ncert syllabus class 11..

    • @AmulsAcademy
      @AmulsAcademy  4 роки тому

      Sorting Algorithms:
      ua-cam.com/video/OlyYEW7mTUM/v-deo.html

  • @viseshsolution74
    @viseshsolution74 3 роки тому +1

    Very well explained

  • @syaifulalam1251
    @syaifulalam1251 3 роки тому +1

    Hi, if I have array:
    a=[1,2,3]
    b=[7,8,9]
    I want to get new array c=[1,7,2,8,3,9], which is alternating arrangement between a and b. How to use np.insert on that case?

  • @nirajsathe9220
    @nirajsathe9220 3 роки тому +1

    I want to insert value in original array through insert() method , how to do that?

    • @AmulsAcademy
      @AmulsAcademy  3 роки тому

      You can store the returned result into original array, for example if we have array a
      a = numpy .insert()

  • @ibarsjoel2434
    @ibarsjoel2434 4 роки тому +1

    Teach data structures madam

  • @bhaskarbravy8416
    @bhaskarbravy8416 3 роки тому +1

    mam...can u teach pandas....as soon as possible.

  • @AhmedSalahGh
    @AhmedSalahGh 2 роки тому

    I dont get the axis how does it work ?

  • @0SIGMA
    @0SIGMA 3 роки тому +1

    sweet voice. why cant we use concat instead of append and vstack and all?

    • @AmulsAcademy
      @AmulsAcademy  3 роки тому

      Concatenate ? You can try 😊

    • @0SIGMA
      @0SIGMA 3 роки тому

      @@AmulsAcademy you saved me in numpy. Next put lots of videos of q and a

  • @MINEDITZZ69
    @MINEDITZZ69 3 роки тому +1

    Please explain to me in bellow code: "np.s_[::2]" what it means.
    x= np.array([[1,2,3,4], [5,6,7,8], [9,10,11,12]])
    np.delete(x, np.s_[::2], 1)
    Output: array([[ 2, 4],
    [ 6, 8],
    [10, 12]])

  • @KrishnaManohar8021
    @KrishnaManohar8021 4 роки тому +1

    what is flaten array?

  • @sindhum7875
    @sindhum7875 4 роки тому

    Does axis =0 indicate rows and axis = 1 indicate columns mam?

    • @sujitsingh7279
      @sujitsingh7279 4 роки тому +1

      Yes sindhu. Axis 0 means rows and Axis 1 means column. However in a 1 D array there will only be one axis which is 0. So in one D array, axis = 0

    • @sindhum7875
      @sindhum7875 4 роки тому

      @@sujitsingh7279 Thank you.

  • @midos2200
    @midos2200 4 роки тому

    if an array is [1,1,2,2,2,2,5,5,5,5,7,7,7,7,7] how to delete the 5s together?

    • @midos2200
      @midos2200 4 роки тому

      besides using the index. assum the array is very big and there is many values in between so that it is not possible to count the index.

    • @mvskoushik4295
      @mvskoushik4295 4 роки тому

      from numpy import *
      a = array([1,1,2,2,2,2,5,5,5,5,7,7,7,7,7])
      for i in [5,5,5,5,5]:
      a= delete(a,i)
      print(a) by this way we can delete all the 5s

  • @ahmedsarker3555
    @ahmedsarker3555 2 роки тому

    in my case import numpy does not work

  • @saroshraja2906
    @saroshraja2906 2 роки тому +1

    😋😋😋

  • @bhuktumurmu3746
    @bhuktumurmu3746 4 роки тому +1

    1
    11
    121
    1331
    14641
    15 10 10 5 1.......and so on