Converting Numpy Array To List

Converting Numpy Array To ListTo convert a 1-D array into a 2-D column vector, an additional dimension must be added, e. Short answer: Convert a list of lists—let’s call it l —to a NumPy array by using the standard np. import io import matplotlib matplotlib. The goal is to convert that list to a numpy array. Steps to Convert NumPy Array to a List in Python Step 1: Create a NumPy array To start with a simple example, let’s create the following NumPy array: import numpy as np my_array = np. eval (k_tensor) # Convert the Keras tensor to a NumPy array n_array = np. array () method. It returns a copy of the array data as a Python list. numpy. ] Is there a better way to do this? python numpy Share. array (list_ex) + 0. array () Python3 import numpy lst = [1, 7, 0, 6, 2, 5, 6] arr = numpy. I have 2 numpy arrays. parallelize (data) # Create data frame df = spark. There's a built-in method of numpy array. At the beginning of this article, we have discussed the function tolist() that comes with the NumPy package. You can use numpy to convert a list directly to a floating array or matrix. to it list_float = np. array and printing the array before the conversion and after the conversion using Python typecasting to list using list () function. 21 hours ago · Convert a tensor to numpy array in keras. Using type casting to Converting Numpy array to list. To convert a 3D numpy array to a single flat list, we need to first flatten the 3D numpy array to a 1D numpy array using the flatten () function and then call tolist () on that flatten array to create flat list. To convert from a Numpy array to list, we simply typed the name of the 2D Numpy array, and then called the Numpy tolist () method which produced a Python list. Let us see how to convert a list of Celsius temperatures into Fahrenheit by converting them into NumPy array. You can use numpy to convert a list directly to a floating array or matrix. How to Convert List to NumPy Array (With Examples) You can use the following basic syntax to convert a list in Python to a NumPy array: import numpy as np. The only way I know how to do this is use a for loop and append a seperate numpy array. If numpy array is 2D, then it returns a list of lists. rollaxis numpy. The list may be nested depending on the dimensionality of the numpy array. While converting to a list, it converts the items to the nearest compatible built-in Python type. Here we are creating a Numpy array using the np. python3 import numpy as np inp = [0, 12, 45. This includes lists, lists of tuples, tuples, tuples of tuples, tuples of lists and ndarrays. tolist() print(l_1d) # [0, 1, 2]. ndim-levels deeply nested list of Python scalars. Additional remarks: if you don't have an access to the figure, you can always extract it from the axes: fig = ax. Method-1: Convert NumPy Array to List using tolist () function The tolist () method is a built-in method of NumPy arrays that converts a NumPy array to a Python list. Method-1: Convert NumPy Array to List using tolist () function. import numpy as np import json from numpyencoder import NumpyEncoder arr = array ( [ 0, 239, 479, 717, 952, 1192, 1432, 1667], dtype=int64) json. import numpy as np import json from numpyencoder import. array (list_ex) # This is a numpy integer array If you want to convert the integer array to a floating array then add 0. Return a copy of the array data as a (nested) Python list. The tolist () method is a built-in method of NumPy arrays that converts a NumPy array to a Python. The tuple () function takes an iterable as an argument and returns a tuple consisting of the elements of the iterable. Use different operations and functions to structure the different arrays according to our needs, like converting lists to NumPy arrays, dealing with lists of lists with NumPy, etc. import numpy as np arr = np. # This is a numpy floating array Share. I have 2 numpy arrays. under normal circumstances I would just make my function take py::array_t, but sadly, the input must be a dictionary with string keys and semi arbitrary numpy arrays:. arange(3) print(arr_1d) # [0 1 2] l_1d = arr_1d. array () and numpy. without throwing - NumPy array is not JSON serializable. ndarray or any nested-list composition. ndarray type (arr_2 [0]) # numpy. But if we want to convert a 2D Numpy array to a. Approach : Import numpy package. tolist () function. Initialize a 2D NumPy array named ini_array with two rows and two columns. , I could receive: list_ = [4] or the numpy array: array_ = array ( [4]) And I should return 4. You can use the following basic syntax to convert a NumPy array to a list in Python: my_list = my_array. The tolist() method is a built-in method of NumPy arrays that converts a NumPy array to a Python list. array () Python3 import numpy lst = [1, 7, 0, 6, 2, 5, 6] arr. It is possible to rebuild the entire array as a list of lists and then cast it as a numpy array, but this seems like a roundabout way. How to convert it to a 2D NumPy array? Example: Convert the following list of lists. That easier done with the array than the nested list:. array (list (arr)) type (arr_2) # numpy. Copy of the array, cast to a specified type. The item object is of type pybind11::handle and I can't seem to find definite list of members for it. dtypedata-type, optional By default, the data-type is inferred from the input data. Method #1: Using tuple and map Step-by-step approach : Import the NumPy library with the alias np. import numpy as np H, W = 2, 4 image = np. asList () Method Using Collections. use NumpyEncoder it will process json dump successfully. ndarray is not a type that json knows how to handle. Example 1: Convert 1-Dimensional Array to List The following code shows how to convert a 1-dimensional NumPy array to a list in Python:. 0 ValueError: Failed to convert a NumPy array to a Tensor. I want to convert a numpy array to list. array( [1, 2]) >>> np. Convert 2D Numpy Array to list of lists using tolist () In Python’s numpy module, the ndarray class provides a member function tolist (), which returns a list containing the copy of elements in the numpy array. Convert a tensor to numpy array in keras. figure if you need the array in the channel x height x width format, do im = im. 0 Get original Image from flattened tensor/numpy array. To convert a numpy array to dictionary the following program uses dict (enumerate (array. Load 3 more related questions Show fewer related questions. Convert a numpy array of lists to a numpy array Ask Question Asked 6 years, 6 months ago Modified 6 years, 6 months ago Viewed 11k times 12 I have some. flatten: This function is used to get a copy of given array, collapsed into one dimension. tolist () converts numpy array to a 2D list. You can use the following basic syntax to convert a NumPy array to a list in Python: my_list = my_array. There are numerous approaches to do the conversion of an array to a list in Java. tolist () To check the data type, you can use the following: type (object) Share. flatten: This function is used to get a copy of given array, collapsed into one dimension. You can convert a NumPy array to a list with the tolist () method of numpy. You can also use the Python built-in list () function to get a list from a numpy array. Converting a numpy image array based on a boolean mask Ask Question Asked 2 days ago Modified 2 days ago Viewed 36 times 1 I have 2 numpy arrays. array and printing the array before the conversion and after. 68499994] i want output as : s = [6. One is a 3D integer array (image RGB values) with dimensions (988, 790, 3) and the other is a mask boolean array with the same shape. In general you can concatenate a whole sequence of arrays along any axis: numpy. Steps to Convert NumPy Array to a List in Python Step 1: Create a NumPy array To start with a simple example, let's create the following NumPy array: import numpy as np my_array = np. Depending on the number of dimensions of the original numpy. tolist() [ [0, 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11]] previous numpy. ndim -levels deep nested list of Python scalars. Convert list or numpy array of single element to float in python 49 I have a function which can accept either a list or a numpy array. x - ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type float) in creating the model - Stack Overflow This is the code that I try to run: def create_model(): tf. To convert a numpy array to a list in Python, you can use the np. array (lst) print ("List: ", lst) print ("Array: ", arr) Output: List: [1, 7, 0, 6, 2, 5, 6] Array: [1 7 0 6 2 5 6] Using numpy. May 28, 2021 The following syntax can be used to convert a Python list to a numpy array: my_array = np. For a 1-D array, this returns an unchanged view of the original array, as a transposed vector. There's a built-in method of numpy array. Example 1: Convert List to NumPy Array. Overview; LogicalDevice; LogicalDeviceConfiguration; PhysicalDevice; experimental_connect_to_cluster; experimental_connect_to_host; experimental_functions_run_eagerly. array ( []) for value in hexArray: intArray = np. To convert from a Numpy array to list, we simply typed the name of the 2D Numpy array, and then called the Numpy tolist () method which produced a Python list as an output. Let's see their usage through some examples. The main difference between numpy. dumps (arr,cls=NumpyEncoder) Share. 0 Get original Image from flattened tensor/numpy. asscalar (a) 42 The output data type is the. array (), or by using numpy. tolist Examples >>> x = np. Use various Python and NumPy packages for dealing with arrays and to convert list to NumPy array in Python, like using the array () and asarray () functions. It means that somewhere, something is trying to dump a numpy array using the json module. If we need to convert a numpy array to tuples, we can use the tuple () function in Python. – mgilson Oct 30, 2014 at 6:26 36. There is a good, fast method to convert an array to list - that is close to the original in use of [] and type - floats. Example 1: Convert 1-Dimensional Array to List The following code shows how to convert a 1-dimensional NumPy array to a list in Python:. use ('agg') # turn off interactive backend import matplotlib. array (list_ex) # This is a numpy integer array. array and printing the array before the conversion and after the conversion using Python typecasting to list using list () function. This includes lists, lists of tuples, tuples, tuples of tuples, tuples of lists and ndarrays. array (my_list) For our example, the complete code to convert the list to a numpy array is as follows: import numpy as np my_list = [10,15,20,25,30,35] my_array = np. array (list_ex) # This is a numpy integer array If you want to convert the integer array to a floating array then add 0. array ( [ [ [ [42]]]]) >>> numpy. asarray(a) is a True If dtype is set, array. tolist () always returned a nested list for a 2D Numpy Array. The only way I know how to do this is use a for loop and append a. without throwing - NumPy array is not JSON serializable. MoviePy makes converting a figure to a numpy array quite simple. 83 it does add the column formatting arguments (for example, {ccc}) when the user chooses to. Method-1: Convert NumPy Array to List using tolist() function. append (intArray, [int (value, 16)]) print (intArray) # output: [ 9. Array manipulation routines numpy. Barnes Mar 13, 2019 at 20:57 Show 5 more comments 401 Store as JSON a numpy. order{‘C’, ‘F’, ‘A’, ‘K’}, optional Controls the memory layout order of. import numpy as np hexArray = np. import numpy as np hexArray = np. import numpy as np list_ex = [1, 0] # This a list list_int = np. The module array_to_latex converts a NumPy/SciPy array or Pandas Numerical DataFrame to a LaTeX array or table using Python 3. One use case is when my_list is not actually a list but some other list-like object; in which case explicitly casting to list beforehand might be helpful. Convert NumPy array to Python list (6 answers) Closed 8 years ago. tolist () Out [76]: [ [0. Parameters: dtypestr or dtype Typecode or data-type to which the array is cast. One is a 3D integer array (image RGB values) with dimensions (988, 790, 3) and the other is a mask boolean array with the same shape. array ( ['9', 'A', 'B']) intArray = np. To do so, you may use the template below: my_array = np. array (my_list) print (my_array) print (type (my_array)). To convert a Numpy array to a PyTorch tensor - we have two distinct approaches we could take: using the from_numpy () function, or by simply supplying the Numpy array to the torch. To convert a NumPy array (ndarray) to a Python list use ndarray. transpose numpy. Using numpy ndarray tolist () function. Method 1 : Using the numpy. We then use slicing to split the array and convert the resulting arrays back to a list. Steps to Convert NumPy Array to a List in Python Step 1: Create a NumPy array To start with a simple example, let’s create the following NumPy array: import numpy as np my_array = np. convert_to_tensor tf_tensor = tf. Tensor () constructor or by using the tensor () function:. The goal is to convert that list to a numpy array. Here we have discussed several methods to convert the numpy array to a list of strings in Python. You can use numpy to convert a list directly to a floating array or matrix. Approach#5: Using Numpy In this approach, we use the numpy library to convert the given 1D list to a numpy array and then use the cumsum () function to get the indices where we need to split the array to get the desired 2D list. under normal circumstances I would just make my function take. The easiest way to convert array to a list is using the numpy package: import numpy as np #2d array to list 2d_array = np. python3 import numpy as np inp = [0, 12, 45. shape # (2, 3) Is there a better way to do this? python arrays numpy type-conversion Share Improve this question. If you want to convert the integer array to a floating array then add 0. tolist() [ [0, 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11]]. How to Convert List to NumPy Array (With Examples) You can use the following basic syntax to convert a list in Python to a NumPy array: import numpy as np my_list = [1, 2, 3, 4, 5] my_array = np. 0 - How to convert Tensor to numpy() array. # This is a numpy floating array Share. Convert the list to data frame The list can be converted to RDD through parallelize function: # Convert list to RDD rdd = spark. You can use the following basic syntax to convert a NumPy array to a list in Python: my_list = my_array. import numpy as np arr = np. This is useful when we want to access each element of the array sequentially. In Python lists can be converted to arrays by using two methods from the NumPy library: Using numpy. The tolist () function converts the values from whatever numpy type they may have (for example, np. The easiest way to convert array to a list is using the numpy package: import numpy as np #2d array to list 2d_array = np. The approach to converting a NumPy array to a dictionary involves three main steps − The first step is to use the flatten function to create a copy of the array that is collapsed into a single dimension. flatten (), 1)) and this is what it exactly does: array. tolist () l = [i for sublist in list1 for i in sublist] print (f'List: {l}') Modified the code to work as you requested. For example, Copy to clipboard import numpy as np # Create 2D Numpy Array. ] Is there a better way to do this? python numpy Share Improve this question Follow asked Mar 26, 2020 at 13:52 Dave1551 323 2 13. tofile next numpy. You can use it like this: from moviepy. Parameters: dtypestr or dtype Typecode or data-type to which the array is cast. You can also use the built-in Python function list () to convert a numpy array. You'll either need to write your own serializer, or (more simply) just pass list (your_array) to whatever is writing the json. I have a numpy array of hex string (eg: ['9', 'A', 'B']) and want to convert them all to integers between 0 255. tolist() # Return the array as an a. This method is very straightforward and efficient and is probably the most common way to convert a NumPy array to a list. array ( [ [1,2,3], [8,9,10]]) 2d_list = 2d_array. Convert a list into an array: >>> a = [1, 2] >>> np. astype(dtype, order='K', casting='unsafe', subok=True, copy=True) #. x style formatting of the result or a format usable for plotting within LaTeX using pgfplots. Here we have discussed several methods to convert the numpy array to a list of strings in Python. If you're converting a list into an array, you'll need to make a new copy anyway, so arr = np. 0 - How to convert Tensor to numpy() array. plot (range (10)) def plot1 (): fig. Python3 import numpy as np arr = np. figure () # make a figure numpy_fig = mplfig_to_npimage (fig) # convert it to a. Convert array to list (one-dimensional array) In this step, we will see the conversion of a one-dimensional array to a list in python. Method-3: Convert NumPy array to list of lists using loop You can also convert a NumPy array to a list of lists using a loop in Python. array () creates a copy of the object and then converts it to the an array. Controls the memory layout order of the result. import numpy as np arr = np. tolist () l = [i for sublist in list1 for i in sublist] print (f'List: {l}') Modified the code. To convert a NumPy array to a list in python we are going to use this function. addAll () Method Using Java 8 Stream API Using Guava Lists. astype(dtype, order='K', casting='unsafe', subok=True, copy=True) # Copy of the array, cast to a specified type. order{‘C’, ‘F’, ‘A’, ‘K’}, optional Controls the memory layout order of the result. The easiest way to convert array to a list is using the numpy package: import numpy as np #2d array to list 2d_array = np. It means that somewhere, something is trying to dump a numpy array using the json module. swapaxes numpy. array (k_array) # Convert the NumPy array to a TensorFlow tensor with tf. Under this scenario, IO raw buffers are the fastest to convert a matplotlib figure to a numpy array. asarray(my_list) The following examples shows how to use this syntax in practice. The input for the model is input_layer = Input (shape=input_shape) What I have tried from here is this k_array = K. enumerate: Enumerate method comes with an automatic counter/index for each of the items present in the list. array ( []) for value in hexArray: intArray = np. But my data is in a 2d numpy array. flatten (), 1)) and this is what it exactly does: array. numpy. array ( [ [1,2,3], [8,9,10]]) 2d_list = 2d_array. asarray(a) array ( [1, 2]) Existing arrays are not copied: >>> a = np. tolist() [source] # Return the matrix as a (possibly nested) list. Method-1: Using the astype () You can use the astype () method to convert the NumPy array to a string data type, and then use the tolist () method to convert it to a list of strings. For a 1-D array, this returns an unchanged view of the original array, as a transposed vector is simply the same vector. array ( [11,22,33,44,55,66]) print (my_array) print (type (my_array)) Run the code in Python, and you'll get the following numpy array:. Parameters: aarray_like Input data, in any form that can be converted to an array. Moreover, take a look at the output list itself: [ [1, 2, 3], [4, 5, 6]] From the structure, we can see that this is a nested Python list. Viewed 4k times 4 I have a numpy array of hex string (eg: ['9', 'A', 'B']) and want to convert them all to integers between 0 255. Data items are converted to the nearest compatible builtin Python type, via the item function. tolist Examples >>> x = np. Convert a tensor to numpy array in keras. To convert a NumPy array (ndarray) to a Python list use ndarray. Return a copy of the array data as a (nested) Python list. Each element can be accessed by repeating the index [n]. This works even if the inner lists have a different number of elements. Convert 2D Numpy Array to a flattened list. For example, Copy to clipboard import numpy as np # Create 3D Numpy Array arr = np. In Python lists can be converted to arrays by using two methods from the NumPy library: Using numpy. asarray(a, dtype=None, order=None, *, like=None) # Convert the input to an array. 0]] If you don't want those inner [], dimension, lets ravel/flatten array. Convert List of Lists to 2D Array Problem: Given a list of lists in Python. array_split numpy. float32) to the "nearest compatible Python type" and returns the array as an a. 2k 21 85 142 asked Jan 8, 2014 at 7:20 sam 18. To convert a NumPy array (ndarray) to a Python list use ndarray. import numpy as np H, W = 2, 4 image = np. You can use the following basic syntax to convert a NumPy array to a list in Python: my_list = my_array. array(((0,1),(2,3))) print(array) result = tuple([tuple(e) for e in array]) print(result) Output:. Convert 2D Numpy Array to list of lists using tolist () In Python’s numpy module, the ndarray class provides a member function tolist (), which returns a list containing the copy of elements in the numpy array. 0 ValueError: Failed to convert a NumPy array to a Tensor. A few of them are listed below. transpose (a, axes = None) [source] # Returns an array with axes transposed. asarray () is that numpy. tolist() The following examples show how to use this syntax. concatenate( LIST, axis=0 ) but you do have to worry about the shape and. I use an external module ( libsvm ), which does not support numpy arrays, only tuples, lists and dicts. The formula to convert Celsius to Fahrenheit is : feh = (9 * cel / 5 + 32) Method 1 : Using the numpy. Convert NumPy array to Python list (6 answers) Closed 8 years ago. You can use numpy to convert a list directly to a floating array or matrix. 0 - How to convert Tensor to numpy() array. Python3 import numpy ls = [ [1, 7, 0], [ 6, 2, 5]]. reshape( (3,4))); x matrix ( [ [ 0, 1, 2, 3], [ 4, 5, 6, 7], [ 8, 9, 10, 11]]) >>> x. 3 hours ago · (Keras) ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type float) 0 ValueError: Passing a dictionary input to a Sequential Model which doesn't have FeatureLayer as the first layer is an error. astype(dtype, order='K', casting='unsafe', subok=True, copy=True) # Copy of the array, cast to a specified type. Using type casting to Converting Numpy array to list. 0 Get original Image from flattened tensor/numpy array. array (list (my_list), dtype='float32'). array(list_ex) # This is a numpy integer. tolist() function, this doesn’t take any parameters and returns a python list for an array. array (my_list) In this guide, you’ll see how to convert: Python list to a numpy array List of lists (multi-dimensional list) to a numpy array (1) Convert Python List to a NumPy Array Let’s create a simple list with 6 elements:. transpose (a, axes = None) [source] # Returns an array with axes transposed. array ( [1, 2, 4, 5]) print("Before conversion: ", arr) print(type(arr)) arr = list(arr) print("\nAfter conversion: ", type(arr)). The easiest way to convert array to a list is using the numpy package: import numpy as np #2d array to list 2d_array = np. ndarray, a nested list is generated. Under this scenario, IO raw buffers are the fastest to convert a matplotlib figure to a numpy array. I want to use the mask to convert False values in the image array to black and leave true values as is. Ask Question Asked 3 years, 1 month ago. 838] Method 2 : Using the numpy. array (my_list, dtype='float32') also works. array ( [ [1,2,3], [8,9,10]]) 2d_list = 2d_array. tolist () To check the data type, you can use the following: type (object) Share Improve this answer Follow answered Jan 27 at 5:22 Charchit Shukla 1 1 Add a comment Your Answer. atleast_1d numpy. Method-1: Convert NumPy Array to List using tolist () function The tolist () method is a built-in method of NumPy arrays that converts a NumPy array to a Python list. import numpy as np list_ex = [1, 0] # This a list list_int = np. tolist() The following examples show how to use this syntax in practice. You can convert a NumPy array to a list with the tolist () method of numpy. Some can be converted to a JSO-like form (list of lists), which is what this answer does. 68499994] how I will do this in python? python numpy Share Improve this question Follow edited Jan 8, 2014 at 7:35 Slater Victoroff 21. I want to convert a numpy array to list. import numpy as np list_ex = [1, 0] # This a list list_int = np. Typecode or data-type to which the array is cast. There are three methods to convert list to array in python and these are, by using array (), by using numpy. Numpy arrays are not any of those things, and so cannot be serialised into JSON. If numpy array is 2D, then it returns a list of lists. array( [ [1, 2, 3, 4], [5, 6, 7, 8], [3, 3, 3, 3]]). asscalar to convert a numpy array / matrix a scalar value: >>> a=numpy. The following is the syntax: # arr is a numpy array ls = list(arr) Let’s look at some the examples of. To convert a numpy array to dictionary the following program uses dict (enumerate (array. ndarray else x for x in coslist] type (coslst) # Should print lst # Should print a list of lists Share Improve this answer Follow edited Jun 3, 2015 at 18:48. The only way I know how to do this is use a for loop and append a seperate numpy. Steps to Convert NumPy Array to a List in Python Step 1: Create a NumPy array To start with a simple example, let’s create the following NumPy array: import numpy as np my_array = np. where (mask [, None], image, 0) Note that in the above, I'm assuming mask only has 2 dimensions; it does not have a trailing channel dimension. The following is the syntax: # arr is a. The item object is of type pybind11::handle and I can't seem to find definite list of members for it. tolist () function, this doesn’t take any parameters and returns a python list for an array. In either case, the list/array has a single element (always). There are three methods to convert list to array in python and these are, by using array (), by using numpy. In Python’s numpy module, the ndarray class provides a member function tolist (), which returns a list containing the copy of elements in the numpy array. enumerate: Enumerate method comes with an automatic counter/index for each of the items present in the list. To convert a numpy array to dictionary the following program uses dict (enumerate (array. Python - Numpy - Converting a numpy array of hex strings to integers. createDataFrame (rdd,schema) print (df. Convert array to list (one-dimensional array) In this step, we will see the conversion of a one-dimensional array to a list in python. pyplot as plt import numpy as np fig, ax = plt. To convert a numpy array to a list in Python, you can use the np. tolist () [0] [0] if type (x)==numpy. asarray(a, dtype=None, order=None, *, like=None) # Convert the input to an array. Here we are creating a Numpy array using the np. atleast_2d numpy. import numpy as np array = np. array (inp) print(f"Celsius {cel}") feh = (9 * cel / 5 + 32) print(f"Fahrenheit {feh}") Output : Celsius [ 0. order{‘C’, ‘F’, ‘A’, ‘K’}, optional. convert_to_tensor (n_array)```. array ( ['9', 'A', 'B']) intArray = np. Convert a tensor to numpy array in keras. import numpy as np hexArray = np. array (list_ex) + 0. Convert the NumPy array into a tuple of tuples using the map () function and tuple () constructor. How can I convert it the pythonic way, aka without loops. concatenate ( LIST, axis=0 ) but you do have to worry about the shape and dimensionality of each array in the list (for a 2-dimensional 3x5 output, you need to ensure that they are all 2-dimensional n-by-5 arrays already). To convert a 1-D array into a 2-D column vector, an additional dimension must be added, e. tolist for full documentation. The tolist () function converts the values from whatever numpy type they may. In general you can concatenate a whole sequence of arrays along any axis: numpy. set_seed(51) model = create_uncompiled_model() model. Method 1: Using numpy. Display both list and NumPy array and observe the difference. Share Improve this answer Follow. choice ( [True, False], size= (H, W)) out = np. Steps to Convert NumPy Array to a List in Python Step 1: Create a NumPy array To start with a simple example, let’s create the following NumPy array: import. array () function to convert the list to an array and store it in a different object. There is a good, fast method to convert an array to list - that is close to the original in use of [] and type - floats. array ( [ [1], [2], [3]]) print (f'NumPy Array: {arr}') list1 = arr. array ( [11,22,33,44,55,66]) print (my_array) print (type (my_array)) Run the code in Python, and you’ll get the following numpy array:. bindings import mplfig_to_npimage import matplotlib. Method-1: Using the astype () You can use the astype () method to convert the NumPy array to a string data type, and then use the tolist () method to convert it to a list of strings. For example, Copy to clipboard import numpy as np # Create 2D Numpy Array arr = np. moveaxis numpy. asarray () Python3 import numpy. array (inp) print(f"Celsius {cel}"). Initialize the nested list and then use numpy.