How to start ML & DL? NumPy Module Part - 2.5

Hello Friends!!! Welcome again,
Today we are going to discuss more methods of NumPy module. I hope you all do well with NumPy. So, let's start with NumPy and learn some more methods.

• numpy.delete - this method is used to remove elements from an array. it returns a new array with sub-array along with axis that is deleted.
• Syntax: numpy.delete(array,index,axis=None)
• Here, array - represents an array from which you want to remove elements.
• index - represents indexes of sub-arrays to remove along the specified axis. it may be any object.
• axis - is an optional parameter. represents an axis along which to delete the sub-array defined in an index argument. 
• It returns a ndarray. A copy of an array with the elements specified by the index removed.
• Example,

• numpy.concatenate - this method is used to join different arrays along with an existing axis.
• Syntax: numpy.concatenate((ar1, ar2, ...),axis=0,out=None)
• Here, ar1, ar2 - represents a sequence of arrays, all the array must have the same shape.
• axis - is an optional argument, represents axis along which arrays will be joined. here default value of this parameter is 0.
• out - is an optional parameter, it is ndarray object. represents the destination to place the result.
• It returns ndarray object after concatenation of arrays. 
• Example,  

These are methods of NumPy for this article that's it, in next article we will learn more methods.
Happy Learning & Coding...☺😊