Menu
I have two numpy arrays
A= array([[1,2,3,4],
[5,6,7,8],
[9,10,11,12]])
B = array([10,20,30])
and I want to generate array C:
C = array([11,12,13,14],
[25,26,27,28],
[39,40,41,42]])
I have tried some ways.. but they seem very inefficient. Is there any way this can be done efficiently?
682
Conclusion: to copy data from a numpy array to another use one of the built-in numpy functions numpy. array(src) or numpy. copyto(dst, src) wherever possible.
NumPy: repeat() function The repeat() function is used to repeat elements of an array. Input array. The number of repetitions for each element. repeats is broadcasted to fit the shape of the given axis.
To add the two arrays together, we will use the numpy. add(arr1,arr2) method. In order to use this method, you have to make sure that the two arrays have the same length. If the lengths of the two arrays are not the same, then broadcast the size of the shorter array by adding zero's at extra indexes.
You can use one of the following methods to add a column to a NumPy array: The following examples show how to use each method in practice. We can use the following syntax to add a column to the end of the NumPy array: We can use the following syntax to insert a new column before the column in index position 2 of the NumPy array:
Append Values to a Numpy Array. You can use the numpy append () function to append values to a numpy array. In this tutorial, we’ll look at the syntax and usage of the numpy append () function through some examples.
Because two 2-dimensional arrays are included in operations, you can join them either row-wise or column-wise. Mainly NumPy () allows you to join the given two arrays either by rows or columns. Let us see some examples to understand the concatenation of NumPy.
Firstly, import NumPy package : Creating a NumPy array using arrange (), one-dimensional array eventually starts at 0 and ends at 8. In this you can even join two exhibits in NumPy, it is practiced utilizing np.concatenate, np.hstack.np.np.concatenate it takes tuples as the primary contention. Now it can also be used for two-dimensional array also:
This can be done with a little help from broadcasting by adding a new axis to B (either with None or with np.newaxis) so that they have compatible shapes, and B is broadcastable accross the larger array A:
A + B[:,None]
array([[11, 12, 13, 14],
[25, 26, 27, 28],
[39, 40, 41, 42]])
pleas look at this example :
ethernet_devices = [1, [7], [2], [8374163], [84302738]]
usb_devices = [1, [7], [1], [2314567], [0]]
all_devices = [x + y for x, y in zip(ethernet_devices, usb_devices)]
Sources: https://therenegadecoder.com/code/how-to-sum-elements-of-two-lists-in-python/
33
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With
