## Problem Formulation and Solution Overview

## Method 1: Use List Comprehension

This example uses List Comprehension and `sum()`

to determine the length of a 2D array. This method works well if the arrays do not contain the same number of elements.

import random two_dims = [random.sample(range(10, 50), 3), random.sample(range(50, 100), 7)] tot_len = sum(len(el) for el in two_dims) print(tot_len)

The first line of the above code imports the `random`

library. This allows access to `random.sample()`

to generate a sampling of random integers.

The following line creates a 2D array containing randomly generated integers using `random.sample()`

. This function is then passed two (2) arguments:

- The
`range()`

function with a start position (inclusive) and a stop position (exclusive, stop-1). - The number of random integers to generate, 3 and 7, respectively.

This is called twice, and the results save to `two_dims`

.

A 2D array like the one below would display if output to the terminal at this point. This 2D array contains one array of three (3) elements and another with seven (7) elements.

`[[47, 46, 45], [56, 74, 97, 67, 72, 68, 92]]` |

On the following line, List Comprehension and `sum()`

are used to loop through and count each element of the 2D array. The total number of elements in the 2D array is saved to `tot_len`

and output to the terminal.

10 |

## Method 2: Use len()

This example uses** len() **to determine the length of a 2D array. This method works only if each array contains the same number of elements.

import random two_dims = [random.sample(range(10, 50), 5), random.sample(range(50, 100), 5)] tot_length = (len(two_dims[0]) * len(two_dims)) print(tot_length)

The first line of the above code imports the `random`

library. This allows us to generate a random sampling of integers.

The following line creates a 2D array containing randomly generated integers using `random.sample()`

. This function is passed two (2) arguments:

- The
`range()`

function with a start position (inclusive) and a stop position (exclusive, stop-1). - The number of random integers to generate, five (5) for each array.

This is called twice, and the results save to `two_dims`

.

A 2D array like the one below would display if output to the terminal at this point. This 2D array contains two (2) arrays of five (5) elements each.

`[[25, 37, 21, 13, 34], [75, 77, 52, 55, 97]]` |

The next line determines the length of the first array (5). This value is multiplied by the number of dimensions (2). The results save to `tot_length`

and output to the terminal.

`10` |

## Method 3: Use shape()

This example uses the `shape()`

function from the NumPy library to determine the length of a 2D array. This method returns a tuple.

To run the code below error-free, the NumPy library must be installed. Click here for installation instructions.

import numpy as np two_dims = np.array(np.random.randint(low=10, high=100, size=(2, 5))) tot_tuple = np.shape(two_dims) print(tot_tuple[0] * tot_tuple[1])

The first line in the above code imports the NumPy library. This allows access to the `array()`

and `random.randint()`

functions.

The following line calls the `array()`

function. This function is then passed the `random.randint()`

function. This function is passed three (3) arguments:

- A low position (inclusive).
- A high position (exclusive).
- A size which is a Tuple containing the number of arrays to generate, and the size of these arrays, resulting in (2, 5)

The results save to `two_dims`

.

A 2D array like the one below would display if output to the terminal at this point. This 2D array contains two (2) arrays of five (5) elements.

`[[38 18 32 76 41]` |

The next line calls `shape()`

and passes the 2D array, `two_dims`

, as an argument. The results save to `tot_tuple `

(a `Tuple`

) and are output to the terminal.

` (2, 5)` |

To retrieve the length, we multiply the Tuple (2*5) and output the results to the terminal.

`10` |

## Method 4: Use NumPy size

This example uses `size`

from the NumPy library to determine the length of a 2D array.

To run the code below error-free, the NumPy library must be installed. Click here for installation instructions.

import numpy as np two_dims = np.array(np.random.randint(low=10, high=100, size=(2, 6))) tot_length = two_dims.size print(tot_length)

The first line in the above code imports the NumPy library. This allows access to the `array()`

, `random.randint()`

, and `size`

functions.

The following line calls the `array()`

function. This function is then passed the `random.randint()`

function. This function is passed three (3) arguments:

- A low position (inclusive).
- A high position (exclusive).
- A size which is a Tuple containing the number of arrays to generate, and the size of these arrays, resulting in (2, 6)

The results save to `two_dims`

.

A 2D array like the one below would display if output to the terminal at this point. This 2D array contains two (2) arrays of five (6) elements.

`[[66 85 90 36 78 80]` |

The next line calculates the length of the 2D array using `size`

. The results save to `tot_length `

and output to the terminal.

`12` |

π‘**Note**: The `size `

function returns the number of elements along a given axis.

## Method 5: Use len() and zip()

This example uses the `len()`

and `zip()`

functions to determine the length of a 2D array.

To run the code below error-free, the NumPy library must be installed. Click here for installation instructions.

import numpy as np two_dims = np.array(np.random.randint(low=10, high=100, size=(2, 6))) tot_dims = (len(two_dims) * len(list(zip(*two_dims)))) print(tot_dims)

The first line in the above code imports the NumPy library. This allows access to the `array()`

and `random.randint()`

functions.

As outlined in Method 4 above, the following line generates a 2D array each containing six (6) randomly generated integers. These results save to `two_dims`

.

A 2D array like the one below would display if output to the terminal at this point. This 2D array contains two (2) arrays of five (6) elements.

`[[23 71 39 39 36 14]` |

The following line calculates:

- The number of dimensions by calling the
`len()`

function and passing it`two_dims`

created above (`len(two_dims)`

). The result is 2. - Then,
`zip()`

and`list`

are used to calculate the length of each array (`len(list(zip(*two_dims)))`

). The result is 6.

The results from both are multiplied and saved to `tot_dims. `

This is then output to the terminal.

`12` |

## Summary

This article has provided five (5) ways to get the length of a 2D Array to select the best fit for your coding requirements.

Good Luck & Happy Coding!

## Programmer Humor – Blockchain

At university, I found my love of writing and coding. Both of which I was able to use in my career.

During the past 15 years, I have held a number of positions such as:

In-house Corporate Technical Writer for various software programs such as Navision and Microsoft CRM

Corporate Trainer (staff of 30+)

Programming Instructor

Implementation Specialist for Navision and Microsoft CRM

Senior PHP Coder