Although numpy.ndarray has a mean, max, std etc. method, it does not have a median method. For a list of all methods available for an ndarray, see the numpy documentation for ndarray.

It is available as a function that takes the array as an argument:

>>> import numpy as np
>>> a = np.array([1,2,3,4,5,6,7,8,9,10])
>>> np.median(a)
5.5

As you will see in the documentation for ndarray.mean, ndarray.mean and np.mean are "equivalent functions," so this is just a matter of semantics.

Answer from brianpck on Stack Overflow
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Machine Learning Plus
machinelearningplus.com › blog › numpy.median() – how to compute median in python
numpy.median() - How to compute median in Python - | MLPlus
January 31, 2023 - median: ndarray It returns the middle value of the array. If axis is specified then returns an array with median values. python · # Import Packages import numpy as np · First, let’s create the 1-D Array · python · # Create 1-D array with ...
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Programiz
programiz.com › python-programming › numpy › methods › median
NumPy median()
axis = None - the median of the entire array is taken. By default, keepdims will not be passed. The numpy.median() method returns the median of the array.
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Data Science Parichay
datascienceparichay.com › home › blog › get the median of numpy array – (with examples)
Get the Median of Numpy Array - (With Examples) - Data Science Parichay
June 22, 2022 - We get the median of all the values inside the 2-D array as 5.0 (which is the middle value if you line up all the values in the above 2-D array in sorted order). Use the numpy.median() function with axis=1 to get the median value for each row ...
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GeeksforGeeks
geeksforgeeks.org › numpy-median-in-python
numpy.median() in Python - GeeksforGeeks
November 28, 2018 - Otherwise, it will consider arr to be flattened(works on all the axis). axis = 0 means along the column and axis = 1 means working along the row. out : [ndarray, optional] Different array in which we want to place the result. The array must have the same dimensions as expected output. dtype : [data-type, optional]Type we desire while computing median. Results : Median of the array (a scalar value if axis is none) or array with median values along specified axis. Code #1: ... # Python Program illustrating # numpy.median() method import numpy as np # 1D array arr = [20, 2, 7, 1, 34] print("arr : ", arr) print("median of arr : ", np.median(arr)) Output :
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Spark By {Examples}
sparkbyexamples.com › home › python › how to use median() in numpy?
How to Use median() in NumPy? - Spark By {Examples}
March 27, 2024 - Python NumPy median() function is used to compute the median of the given NumPy array over the specified axis or multiple axes. The
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Python Pool
pythonpool.com › home › blog › numpy median() with examples in python
Numpy Median() With Examples In Python - Python Pool
July 9, 2021 - median: ndarray · It returns a new array holding the results. If the input contains values smaller than the float64(allows the larger number to be stored), then the output data-type is np.float64.
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Codecademy
codecademy.com › docs › python:numpy › built-in functions › .median()
Python:NumPy | Built-in Functions | .median() | Codecademy
May 1, 2024 - numpy.median(a, axis=None, out=None, overwrite_input=False, keepdims=False) a: The array of elements to calculate the median from. axis: The axis or axes along which to calculate the median.
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Studytonight
studytonight.com › numpy › numpy-median-function
NumPy median() function - Studytonight
The Input Array is : [26, 2, 73, 13, 34] The median of 1D array is : 26.0 · Now we will apply this method on two-dimensional array and will check the output: import numpy as np inp = [[1, 17, 19, 33, 49], [14, 6, 87, 8, 19], [34, 2, 54, 4, 7]] print("\nThe median of array when axis = None : ") print(np.median(inp)) # calculating median along the axis = 0 print("\nThe median of array when axis = 0 : ") print(np.median(inp, axis = 0)) #calculating median along the axis = 1 print("\nThe median of array when axis = 1 : ") print(np.median(inp, axis = 1))