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# Python | Find Mean of a List of Numpy Array

• Last Updated : 14 Mar, 2019

Given a list of Numpy array, the task is to find mean of every numpy array. Let’s see a few methods we can do the task.

Method #1: Using np.mean()

 `# Python code to find mean of every numpy array in list`` ` `# Importing module``import` `numpy as np`` ` `# List Initialization``Input` `=` `[np.array([``1``, ``2``, ``3``]),``         ``np.array([``4``, ``5``, ``6``]),``         ``np.array([``7``, ``8``, ``9``])]`` ` `# Output list initialization``Output ``=` `[]`` ` `# using np.mean()``for` `i ``in` `range``(``len``(``Input``)):``   ``Output.append(np.mean(``Input``[i]))`` ` `# Printing output``print``(Output)`
Output:
```[2.0, 5.0, 8.0]
```

Method #2: Using np.average()

 `# Python code to find mean of ``# every numpy array in list`` ` `# Importing module``import` `numpy as np`` ` `# List Initialization``Input` `=` `[np.array([``11``, ``12``, ``13``]),``         ``np.array([``14``, ``15``, ``16``]),``         ``np.array([``17``, ``18``, ``19``])]`` ` `# Output list initialization``Output ``=` `[]`` ` `# using np.mean()``for` `i ``in` `range``(``len``(``Input``)):``   ``Output.append(np.average(``Input``[i]))`` ` `# Printing output``print``(Output)`
Output:
```[12.0, 15.0, 18.0]
```

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