Python print full array

python print full array with code examples

I n Python, the print() function is used to output text or other data to the console. This function can be used to print the contents of an array, which is a data structure that stores a collection of elements. In this article, we will discuss how to use the print() function to print the full contents of an array, along with some code examples.

The simplest way to print the full contents of an array is to use a for loop to iterate through each element in the array and print it. Here’s an example of how to do this:

# define an array my_array = [1, 2, 3, 4, 5] # print the full array using a for loop for element in my_array: print(element)

This will output the following:

Another way to print the full contents of an array is to use the * operator to unpack the elements of the array and pass them as separate arguments to the print() function. Here’s an example of how to do this:

# define an array my_array = [1, 2, 3, 4, 5] # print the full array using the * operator print(*my_array)

This will also output the following:

You can also use the join() method to concatenate the elements of an array into a single string and then use the print() function to output the string. Here’s an example of how to do this:

# define an array my_array = [1, 2, 3, 4, 5] # concatenate the elements of the array into a single string my_string = ' '.join(map(str,my_array)) # print the string print(my_string)

This will also output the following:

Another way to print all elements of an array is using numpy library, numpy provide a function called numpy.set_printoptions() which can be used to set the print options of numpy array.

import numpy as np # define an array my_array = np.array([1, 2, 3, 4, 5]) # set print options np.set_printoptions(threshold=np.inf) # print the full array print(my_array)

This will output the following:

In conclusion, the print() function can be used to print the full contents of an array in Python by using a for loop, the * operator, the join() method, or by using numpy library. Each method has its own advantages and disadvantages, and the best method to use will depend on the specific requirements of your code.

In addition to the methods discussed above, there are a few other ways to print the full contents of an array in Python.

One way is to use the pprint module, which stands for «pretty-print.» This module provides a pprint() function that can be used to print the contents of an array in a more readable format. For example:

import pprint # define an array my_array = [1, 2, 3, 4, [5, 6], "a": 7, "b": 8>] # print the array using pprint pprint.pprint(my_array)

This will output the following:

Another way to print the full contents of an array is to use the numpy library’s ndarray.tolist() method. This method converts a numpy array to a Python list and then we can use the print() function to print the contents of the list. Here’s an example:

import numpy as np # define an array my_array = np.array([1, 2, 3, 4, 5]) # convert numpy array to python list my_list = my_array.tolist() # print the list print(my_list)

This will also output the following:

Another way is to use the json module, which provides a dumps() function that can be used to convert a Python object (such as an array) to a JSON string. This string can then be printed using the print() function. For example:

import json # define an array my_array = [1, 2, 3, 4, 5] # convert array to json string my_json = json.dumps(my_array) # print the json string print(my_json)

This will output the following:

In addition to the above methods, you can also use other libraries such as pandas, to handle and print arrays. These libraries provide functions such as pandas.DataFrame.to_string() to print the contents of the array in a tabular format.

In conclusion, there are various ways to print the full contents of an array in Python, including using for loops, the * operator, the join() method, the pprint module, the numpy library, the json module, and other libraries like pandas. Depending on your specific needs, you can choose the method that works best for you.

Popular questions

The simplest way to print the full contents of an array in Python is to use a for loop. For example:

my_array = [1, 2, 3, 4, 5] for item in my_array: print(item)

This will output the following:

The join() method can be used to join elements of an array into a single string, which can then be printed using the print() function. For example:

my_array = [1, 2, 3, 4, 5] print(" ".join(str(item) for item in my_array))

This will output the following:

Yes, we can use the numpy library’s ndarray.tolist() method to convert a numpy array to a Python list and then we can use the print() function to print the contents of the list. Here’s an example:

import numpy as np # define an array my_array = np.array([1, 2, 3, 4, 5]) # convert numpy array to python list my_list = my_array.tolist() # print the list print(my_list)

This will output the following:

We can use the pprint module, which provides a pprint() function that can be used to print the contents of an array in a more readable format. For example:

import pprint # define an array my_array = [1, 2, 3, 4, [5, 6], "a": 7, "b": 8>] # print the array using pprint pprint.pprint(my_array)

This will output the following:

Yes, we can use the json module which provides a dumps() function that can be used to convert a Python object (such as an array) to a JSON string. This string can then be printed using the print() function. For example:

import json # define an array my_array = [1, 2, 3, 4, 5] # convert array to json string my_json = json.dumps(my_array) # print the json string print(my_json)

This will output the following:

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How to Print an Array in Python

So before we get right into the topic, let us know a bit about Arrays in Python.

Python Arrays

Arrays are a collection of data elements of the same type under the same name. In Python, we can implement arrays using lists or the NumPy module. The NumPy module provides us with arrays of type ndarray (NumPy Array).

Further, an array can be multi-dimensional. As we know, the simplest form of multi-dimensional arrays is two-dimensional arrays. Hence, in this tutorial, we are going to be considering 1D as well as 2D Arrays.

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Ways to Print an Array in Python

Now, let us look at some of the ways to print both 1D as well as 2D arrays in Python. Note: these arrays are going to be implemented using lists.

Directly printing using the print() method

We can directly pass the name of the array(list) containing the values to be printed to the print() method in Python to print the same.

But in this case, the array is printed in the form of a list i.e. with brackets and values separated by commas.

arr = [2,4,5,7,9] arr_2d = [[1,2],[3,4]] print("The Array is: ", arr) #printing the array print("The 2D-Array is: ", arr_2d) #printing the 2D-Array

The Array is: [2, 4, 5, 7, 9] The 2D-Array is: [[1, 2], [3, 4]]

Here, arr is a one-dimensional array. Whereas, arr_2d is a two-dimensional one. We directly pass their respective names to the print() method to print them in the form of a list and list of lists respectively.

Using for loops in Python

We can also print an array in Python by traversing through all the respective elements using for loops.

arr = [2,4,5,7,9] arr_2d = [[1,2],[3,4]] #printing the array print("The Array is : ") for i in arr: print(i, end = ' ') #printing the 2D-Array print("\nThe 2D-Array is:") for i in arr_2d: for j in i: print(j, end=" ") print()

The Array is : 2 4 5 7 9 The 2D-Array is: 1 2 3 4

In the code above we traverse through the elements of a 1D as well as a 2D Array using for loops and print the corresponding elements in our desired form.

Ways to print NumPy Array in Python

As mentioned earlier, we can also implement arrays in Python using the NumPy module. The module comes with a pre-defined array class that can hold values of same type.

These NumPy arrays can also be multi-dimensional. So, let us see how can we print both 1D as well as 2D NumPy arrays in Python.

Using print() method

Similar to the case of arrays implemented using lists, we can directly pass NumPy array name to the print() method to print the arrays.

import numpy as np arr_2d = np.array([[21,43],[22,55],[53,86]]) arr = np.array([1,2,3,4]) print("Numpy array is: ", arr) #printing the 1d numpy array print("Numpy 2D-array is: ", arr_2d) #printing the 2d numpy array

Numpy array is: [1 2 3 4] Numpy 2D-array is: [[21 43] [22 55] [53 86]]

Here, arr and arr_2d are one 1D and one 2D NumPy arrays respectively. We pass their names to the print() method and print both of them. Note: this time also the arrays are printed in the form of NumPy arrays with brackets.

Using for loops

Again, we can also traverse through NumPy arrays in Python using loop structures. Doing so we can access each element of the array and print the same. This is another way to print an array in Python.

Look at the example below carefully.

import numpy as np arr = np.array([11,22,33,44]) arr_2d = np.array([[90,20],[76,45],[44,87],[73,81]]) #printing the numpy array print("The Numpy Array is : ") for i in arr: print(i, end = ' ') #printing the numpy 2D-Array print("\nThe Numpy 2D-Array is:") for i in arr_2d: for j in i: print(j, end=" ") print()

The Numpy Array is : 11 22 33 44 The Numpy 2D-Array is: 90 20 76 45 44 87 73 81

Here also we print the NumPy array elements in our desired way(without brackets) by accessing the elements of the 1D and 2D array individually.

Conclusion

So in this tutorial, we learned how to print an array in Python. I hope you now have a clear understanding of the topic. For any further question related to the topic, feel free to use the comments.

References

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Python Print Full Array With Code Examples

With this piece, we’ll check out a couple of totally different examples of Python Print Full Array points within the pc language.

import sys import numpy numpy.set_printoptions(threshold=sys.maxsize)

The answer to the beforehand talked about downside, Python Print Full Array, can be present in a special methodology, which will probably be mentioned additional down with some illustrative code.

numpy.savetxt(sys.stdout, numpy.arange(10000))

We’ve proven learn how to use programming to resolve the Python Print Full Array downside with a slew of examples.

How do I print a whole array in Python?

Use numpy. set_printoptions() to print a full NumPy array with out truncation

• my_array = np. arange(1001)
• print(my_array)
• np. set_printoptions(threshold=np. inf)
• print(my_array)

How do I print a whole array?

How do I print a full NumPy array with out truncation?

• Step 1 – Import library.
• Step 2 – Take Sample array.
• Step 3 – Print closing Result Sample_array_2 = np.arange(100) np.set_printoptions(threshold=sys.maxsize) print(Sample_array_2)

How do you present the entire matrix in Python?

How do I fully print a NumPy array?

We can use the edge parameter of the numpy. set_printoptions() operate to sys. maxsize to print the whole NumPy array.26-Apr-2021

How do you print an array line by line in Python?

Without utilizing loops: * image is use to print the record components in a single line with house. To print all components in new traces or separated by house use sep=”n” or sep=”, ” respectively.08-Jul-2022

How do I show all array components directly?

• public class PrintArray
• public static void foremost(String[] args)
• //Initialize array.
• int [] arr = new int [] ;
• System. out. println(“Elements of given array: “);
• //Loop by the array by incrementing worth of i.
• for (int i = 0; i < arr. size; i++)
• System. out. print(arr[i] + ” “);

How do I print an array on one line?

Print Array in One Line with Java Streams Arrays. toString() and Arrays. toDeepString() simply print the contents in a set method and have been added as comfort strategies that take away the necessity so that you can create a handbook for loop.23-Nov-2021

How do you print a personality array with out loop?

Pseudo Code: println(Array[i]); Concept: We will probably be utilizing the toString() methodology of the Arrays class within the util bundle of Java. This methodology helps us to get the String illustration of the array. This string may be simply printed with the assistance of the print() or println() methodology.01-May-2022

How does Python deal with giant arrays?

• Very giant matrices utilizing Python and NumPy.
• Create giant random boolean matrix with numpy.
• Efficient creation of numpy arrays from record comprehension and generally.
• Python: reminiscence error whereas altering knowledge sort from integer to drift.
• Numpy imply of flattened giant array slower than imply of imply of all axes.

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