In this section, we will discuss how to use the dian() function in Python. Read: Python NumPy Replace + Examples Python numpy median example Here is the implementation of the following given code It will calculate the array median=middle term. In the above array, we have an odd number of terms in ascending order. To do this we are going to use the dian() function. In the above code, we imported the numpy library and then initialize an array by using the numpy.array() function and now we have to find the median of the input array. Let’s take an example and check how to use the dian() function in Python keepdims: This parameter defines the dimension of the input array and if the value is ‘True’ the axes which are reduced are left in the output. out: It is an optional parameter and it is used to store the result of dian() function and by default it takes none value. If the axis is 0 then the direction down the rows and if the axis is 1 then the direction down column-wise. axis: This parameter indicates the axis which we want to calculate the median along with the flattened input array. a: This parameter specifies the input array on which we want to operate on. This Syntax contains several parameters. Let’s have a look at the Syntax and understand the working of Python dian() function dian If you are using a multidimensional array then you can also get the median value of each column and row. 
This method is available in the NumPy package module and always returns the median of the numpy array value as an output.
In Python, this is a mathematical function and it is used to compute the median of the elements in an array.
To do the task we are going to use the Python dian() function. 
In this section, we will discuss how to find the median of a numpy array in Python. Python numpy average vs mean Python numpy median
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