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Python Numpy Split Array | Split Array in Numpy | Numpy Tutorial for Beginner

Python Numpy Split Array | Split Array in Numpy | Numpy Tutorial for Beginner

welcome to raigurukul.com in this video well  discuss about how to split numpy array so if youre new to this channel consider subscribing  and pressing bell icon for more updates splitting is options or its splitting is reversing  of operation of joining so joining merges multiple arrays into one and splitting breaks one  array into multiple so if you dont know about how to join numpy array consider watching  my past video you will get an idea how to join else i will include in my description  tab the video of joining we can use array split for splitting an array we pass it theory we  want to split the number of splits so here for performing a coding or for implementations  we need to import numpy library so here import numpy as and and im declaring  here as one array so n dot array and inside this i am declaring  an array to three four five six thats five and perfect so this is my array which i have declared  so if i want to perform the split operations then i am giving here an array  that is new array equal to n dot array underscore split so this will split  my array into three so let me give two only now i want to print this  new array so lets run this sorry its n not np its in a now you can see  array234 and array569 its divided into two parts because of that its showing three attributes  in each of the array so let me divide into three now you can see three arrays are made so if the array has less elements than required it  will adjust from the end accordingly so lets see if i want to divide the declare array in 4  so lets see how it looks now you can see first two they have assigned to 2  2 and then these two splits into again 2 that is single  attribute in each of the array now we also have the method split available  but if we dont adjust element then elements are less in source array for splitting like  split array work properly but split would fail so because of that we are directly  using array split if we want to split this same thing in two dimensional array  there is no changes except the data so im here making comma this is secondary this is third fourth nine fifth so comma two lets run this for three now i can see my array will be split it into  three so this is for the two dimensional array example in two d array looks like another example  this time each elements of the two array contains two elements but if if we  want to divide this array into 4 lets see how the result looks now  you can see this array contains one two and third is one is here so one  two three one two and three and four so this is how it is working so in this type  of array we can also use at stack and add split opposite off its an alternative solution is using  add split opposite of add stack which can also use that so instead of split array h let me give here  h s h split and defining your three now its done so there is no split will be done for the 2d array  when we are using as track so when we are using aspect method to split the 2d array into 2d array  along rows theres three 2d arrays along the rows then only you will get the response so let me  add one more value in each of the section seven one two eight five now this time you can see we have received in  response so this is how we are dealing with split of an array in numpy hope you  liked it if you really enjoyed the session consider subscribing and pressing bell  icon for more updates thank you for watching

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