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# How to Solve Python AttributeError: ‘numpy.ndarray’ object has no attribute ‘median’

This error occurs when you try to call the median method on a `numpy.ndarray`. Although numpy.ndarray has `mean`, `max`, `min`, `std`, methods, it does not have median as a method. The median method belongs to numpy.

To solve this error, you have to call `numpy.median`, for example,

`median = np.median(arr)`

This tutorial will go through the error and how to solve it with code examples.

## AttributeError: ‘numpy.ndarray’ object has no attribute ‘median’

AttributeError occurs in a Python program when we try to access an attribute (method or property) that does not exist for a particular object. The median method belongs to the numpy class, not `numpy.ndarray` and it calculates a specified array’s median.

Note that `numpy.ndarray` does have other statistical methods like min, max, mean and std, for example:

```import numpy as np

arr = np.array([2,4,6,8,10,12,14,16,18,20])

print(arr.min())
print(arr.max())
print(arr.mean())
print(arr.std())```
```2
20
11.0
5.744562646538029```

Also, there are numpy equivalent methods which we can call as follows:

```import numpy as np

arr = np.array([2,4,6,8,10,12,14,16,18,20])

print(np.min(arr))
print(np.max(arr))
print(np.mean(arr))
print(np.std(arr))```
```2
20
11.0
5.744562646538029```

However, the median method is only a numpy method.

```import numpy as np

arr = np.array([2,4,6,8,10,12,14,16,18,20])

print(np.median(arr))
print(arr.median())```
```11.0
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Input In [16], in <cell line: 6>()
3 arr = np.array([2,4,6,8,10,12,14,16,18,20])
5 print(np.median(arr))
----> 6 print(arr.median())

AttributeError: 'numpy.ndarray' object has no attribute 'median'```

## Example

Consider the following example of a NumPy ndarray containing 20 integers.

```import numpy as np

arr = np.array([10, 47, 33, 95, 11, 82, 61, 1, 82, 4, 3, 31, 65, 54, 42, 61, 53, 9, 36, 22])
arr```
```array([10, 47, 33, 95, 11, 82, 61,  1, 82,  4,  3, 31, 65, 54, 42, 61, 53,
9, 36, 22])```

We will attempt to calculate the median of the array as follows:

`print(f'Median of array is {arr.median()}')`

Let’s run the code to see what happens:

```---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Input In [6], in <cell line: 1>()
----> 1 print(f'Median of array is {arr.median()}')

AttributeError: 'numpy.ndarray' object has no attribute 'median'```

The error occurs because `median` is not a method of `numpy.ndarray`. You can find the available methods for ndarray under the numpy documentation.

### Solution

We can solve the error by using the numpy.median() method as follows:

```median = np.median(arr)

print(f'Median of array is {median}')```

Let’s run the code to see the result:

`Median of array is 39.0`

## Summary

Congratulations on reading to the end of this tutorial! If you encounter this error, ensure that you use `numpy.median()`. If you want to use `min`, `max`, `mean`, `std` etc., you can use either the `numpy.ndarray` method or the `numpy` method.

For further reading on AttributeErrors, go to the article:

How to Solve Python AttributeError: ‘numpy.ndarray’ object has no attribute ‘drop’

Go to the online courses page on Python to learn more about coding in Python for data science and machine learning.

Have fun and happy researching!