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We can assign new values to an element of a NumPy array using the = operator, just like regular python lists. A few examples are below (note that this is all one code block, which means that the element assignments are carried forward from step to step).
You can access an array element by referring to its index number. The indexes in NumPy arrays start with 0, meaning that the first element has index 0, and the second has index 1 etc.
Use the numpy. append() Function to Add a Row to a Matrix in NumPy. The append() function from the numpy module can add elements to the end of the array. By specifying the axis as 0, we can use this function to add rows to a matrix.
The data elements in a matrix can be accessed by using the indexes. The access method is same as the way data is accessed in Two dimensional array.
Here's how:
a[i,j] = x
Or
a.itemset((i,j),x)
Try this
a[i,j]=5
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