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Array Shape in Numpy | Python Numpy Array Shape | Numpy Shape of Array | Numpy Tutorial

Array Shape in Numpy | Python Numpy Array Shape | Numpy Shape of Array | Numpy Tutorial

welcome to raigurukul.com in this video well  discuss about how to get shape of an array in python numpy so if youre new to this  channel and looking forward to learnt numpy in detail consider subscribing and pressing  bell icon for more updates shape of n array is define number of elements in each right  dimensions so if we want to get the details of each and every array we can use numpy for  extracting data numpy arrays have an attribute called shape that returns a double with each  index having the number of corresponding elements if you want to generate this detail  we have to import numpy liability as n and here we have to define  an array e equal to n dot array and inside that we need to enter  the value so lets say 2 3 5 and 7 next value or next array i  want to create here as a 7 9 1 0 so if i want to print the shape  of this array then i need to write your print and then e dot shape let me run this i think there is a multiple space four there is a typo data type not understood import numpy as okay okay so here we have to add two square  brackets now you can see the shape of array is printed as 2 and 4. that is the example and  this which means that the array has two dimensions each dimension has four elements so this is how  we can get the information about an array when we want to create an array with five dimensions  using add minimum using a vector with the values and verify that the last dimension has some  values then also we can add and the minimum so lets say in this example here we have  deployed this array and i want to include one more dont want this just press comma n d minimum and  equal to 4 and i dont want this as well and when when you want to print this array then printing  for array is this and the second one for print a dot shape now lets run this okay theres a typo error okay now run this now you can see we have received  the 4 sorry the value 2 3 five seven and finally one one one one four so lets slip its represent  the value is printing with the dimensions so this is how we can handle a shape 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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