# Max & Min of NumPy Array in Python (3 Examples)

In this tutorial, I’ll illustrate how to **calculate the maximum and minimum of a NumPy array** in the Python programming language.

Table of contents:

Let’s dive right into the examples.

## Example Data & Libraries

If we want to use the functions of the NumPy library, we first need to import NumPy:

import numpy as np # Import NumPy library in Python |

import numpy as np # Import NumPy library in Python

Next, we’ll also need to construct some example data:

my_array = np.array([[1, 2, 3], [4, 5, 6]]) # Create example array print(my_array) # Print example array # [[1 2 3] # [4 5 6]] |

my_array = np.array([[1, 2, 3], [4, 5, 6]]) # Create example array print(my_array) # Print example array # [[1 2 3] # [4 5 6]]

The previous output of the Python console shows the structure of our example data: We have created a NumPy array with six values in two rows and three columns.

## Example 1: Max & Min of All Values in NumPy Array

In this example, I’ll illustrate how to get the minima and maxima of all values in a NumPy array.

To calculate the maximum value, we can use the np.max function as shown below…

print(np.max(my_array)) # Get max of all array values # 6 |

print(np.max(my_array)) # Get max of all array values # 6

…and to compute the minimum value, we can apply the min function as illustrated in the following Python code:

print(np.min(my_array)) # Get min of all array values # 1 |

print(np.min(my_array)) # Get min of all array values # 1

## Example 2: Max & Min of Columns in NumPy Array

Example 2 shows how to find the max and min values of a NumPy array by columns.

For this task, we have to set the axis argument to be equal to 0:

print(np.max(my_array, axis = 0)) # Get max of array columns # [4 5 6] |

print(np.max(my_array, axis = 0)) # Get max of array columns # [4 5 6]

print(np.min(my_array, axis = 0)) # Get min of array columns # [1 2 3] |

print(np.min(my_array, axis = 0)) # Get min of array columns # [1 2 3]

As you can see, the previous Python codes have returned the maximum and minimum of our NumPy array by column.

## Example 3: Max & Min of Rows in NumPy Array

In this example, I’ll show how to compute the row-wise maxima and minima of a NumPy array.

Similar to Example 2, we can use the axis argument for this task. However, this time, we have to set the axis argument to 1:

print(np.max(my_array, axis = 1)) # Get max of array rows # [3 6] |

print(np.max(my_array, axis = 1)) # Get max of array rows # [3 6]

print(np.min(my_array, axis = 1)) # Get min of array rows # [1 4] |

print(np.min(my_array, axis = 1)) # Get min of array rows # [1 4]

## Video & Further Resources

I have recently released a video on the Statistics Globe YouTube channel, which illustrates the Python programming code of this article. Please find the video below:

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Furthermore, you could read the related tutorials on my homepage. You can find some posts below.

- Max & Min in Python
- Max & Min by Group in Python
- Convert pandas DataFrame to NumPy Array in Python
- Get Max & Min Value of Column & Index in pandas DataFrame in Python
- Convert pandas DataFrame Index to List & NumPy Array in Python
- Get Median of Array with np.median Function of NumPy Library in Python
- Python Programming Examples

To summarize: In this post, I have demonstrated how to **find the maximum and minimum of a NumPy array** in Python. In case you have additional questions, tell me about it in the comments below.