concatenating multiple Numpy arrays in dictionaries

Question

I have four dictionaries. And each value for each of the key in the dictionary is a 1D numpy array. I want to join all those numpy arrays into one. For example:

first dictionary =  {'feature1': array([0., 0., 1., 0.]),
'feature2': array([0., 1., 0., 0.]),
'feature3': array([1., 0., 0.,0.,0.,0.])}

 second dictionary = {'feature4': array([0.]),
'feature5': array([0., 0.]),
'feature6': array([0.023]),
'feature7': array([0.009]),
'feature8': array([0.])}

 third dictionary = {'feature9': array([  0.,   0.,   0., 912.,   0.,   0.,   0.]),
'feature10': array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]),}

The resultant final numpy should look like:

array([0., 0., 1., 0.,0., 1., 0., 0.,1., 0., 0.,0.,0.,0.,
      0.,0., 0.,0.023,0.009,0.,0.,
       0.,   0., 912.,   0.,   0.,   0.,0., 0., 0.,  0., 
       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]

As an example I've made this dictionaries smaller but I have unto 50 keys in each of the dictionaries. So basically I want to join all of the numpy arrays in my dictionaries. How can I achieve this? Insights will be appreciated.

some_name.py · Accepted Answer · 2021-06-08 12:10:08Z

1

you could just do:

output = []

for dictionary in [firstdictionary,seconddictionary,thirddictionary]:
    for key, value in dictionary.items():
        output += list(value)
    
output_array = np.array(output)

answered Jun 8, 2021 at 12:10

some_name.py

8377 silver badges17 bronze badges

Sign up to request clarification or add additional context in comments.

1 Comment

John Over a year ago

Yes, I implemented a similar solution. Thank you!

Collectives™ on Stack Overflow

concatenating multiple Numpy arrays in dictionaries

1 Answer 1

1 Comment

Your Answer

Hot Network Questions

Collectives™ on Stack Overflow

1 Answer 1

1 Comment

Your Answer

Sign up or log in

Post as a guest

Related