# Python | Find Mean of a List of Numpy Array

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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