Mixing
Turning a 6 value 1 dimensional numpy.ndarray into a 6 dimensional
I have a numpy ndarray with 6 values in 1 dim.
These 6 values represent a point in 6 dimensions.
How do I convert it in numpy to get a 6d array?
Backstory:
I need this 6d layout for my neural network. The training happend with 6d data. For making predicitons I fail to reshape the data.
python numpy numpy-ndarray n-dimensional
asked Jan 1 at 14:11
quibeluaquibelua
83
|
show 1 more comment
I have a numpy ndarray with 6 values in 1 dim.
These 6 values represent a point in 6 dimensions.
How do I convert it in numpy to get a 6d array?
Backstory:
I need this 6d layout for my neural network. The training happend with 6d data. For making predicitons I fail to reshape the data.
python numpy numpy-ndarray n-dimensional
asked Jan 1 at 14:11
quibeluaquibelua
83
What is the shape of your array and what is the expected output shape?
– Daniel Mesejo
Jan 1 at 14:13
docs.scipy.org/doc/numpy-1.15.0/reference/generated/…
– Daniel Mesejo
Jan 1 at 14:14
Provide a Minimal, Complete, and Verifiable example please. It is obvious to me what you want but that cannot be said for everyone and all future visitors without at least a coherent example.
– coldspeed
Jan 1 at 14:16
import numpy as np x = np.array([1,2,3,4,5,6]) x.ndim # is 1 what I need is: shape (6,)
– quibelua
Jan 1 at 14:23
I don't think you want a6darray. More likely there's confusion over shapes, (6,), (1,6), and (6,1).
– hpaulj
Jan 1 at 14:39
|
show 1 more comment
I have a numpy ndarray with 6 values in 1 dim.
These 6 values represent a point in 6 dimensions.
How do I convert it in numpy to get a 6d array?
Backstory:
I need this 6d layout for my neural network. The training happend with 6d data. For making predicitons I fail to reshape the data.
python numpy numpy-ndarray n-dimensional
asked Jan 1 at 14:11
quibeluaquibelua
83
I have a numpy ndarray with 6 values in 1 dim.
These 6 values represent a point in 6 dimensions.
How do I convert it in numpy to get a 6d array?
Backstory:
I need this 6d layout for my neural network. The training happend with 6d data. For making predicitons I fail to reshape the data.
python numpy numpy-ndarray n-dimensional
python numpy numpy-ndarray n-dimensional
asked Jan 1 at 14:11
quibeluaquibelua
83
asked Jan 1 at 14:11
quibeluaquibelua
83
asked Jan 1 at 14:11
quibeluaquibelua
83
asked Jan 1 at 14:11
quibeluaquibelua
83
asked Jan 1 at 14:11
quibeluaquibelua
83
83
What is the shape of your array and what is the expected output shape?
– Daniel Mesejo
Jan 1 at 14:13
docs.scipy.org/doc/numpy-1.15.0/reference/generated/…
– Daniel Mesejo
Jan 1 at 14:14
Provide a Minimal, Complete, and Verifiable example please. It is obvious to me what you want but that cannot be said for everyone and all future visitors without at least a coherent example.
– coldspeed
Jan 1 at 14:16
import numpy as np x = np.array([1,2,3,4,5,6]) x.ndim # is 1 what I need is: shape (6,)
– quibelua
Jan 1 at 14:23
I don't think you want a6darray. More likely there's confusion over shapes, (6,), (1,6), and (6,1).
– hpaulj
Jan 1 at 14:39
|
show 1 more comment
What is the shape of your array and what is the expected output shape?
– Daniel Mesejo
Jan 1 at 14:13
docs.scipy.org/doc/numpy-1.15.0/reference/generated/…
– Daniel Mesejo
Jan 1 at 14:14
Provide a Minimal, Complete, and Verifiable example please. It is obvious to me what you want but that cannot be said for everyone and all future visitors without at least a coherent example.
– coldspeed
Jan 1 at 14:16
import numpy as np x = np.array([1,2,3,4,5,6]) x.ndim # is 1 what I need is: shape (6,)
– quibelua
Jan 1 at 14:23
I don't think you want a6darray. More likely there's confusion over shapes, (6,), (1,6), and (6,1).
– hpaulj
Jan 1 at 14:39
What is the shape of your array and what is the expected output shape?
– Daniel Mesejo
Jan 1 at 14:13
What is the shape of your array and what is the expected output shape?
– Daniel Mesejo
Jan 1 at 14:13
docs.scipy.org/doc/numpy-1.15.0/reference/generated/…
– Daniel Mesejo
Jan 1 at 14:14
docs.scipy.org/doc/numpy-1.15.0/reference/generated/…
– Daniel Mesejo
Jan 1 at 14:14
Provide a Minimal, Complete, and Verifiable example please. It is obvious to me what you want but that cannot be said for everyone and all future visitors without at least a coherent example.
– coldspeed
Jan 1 at 14:16
Provide a Minimal, Complete, and Verifiable example please. It is obvious to me what you want but that cannot be said for everyone and all future visitors without at least a coherent example.
– coldspeed
Jan 1 at 14:16
import numpy as np x = np.array([1,2,3,4,5,6]) x.ndim # is 1 what I need is: shape (6,)
– quibelua
Jan 1 at 14:23
import numpy as np x = np.array([1,2,3,4,5,6]) x.ndim # is 1 what I need is: shape (6,)
– quibelua
Jan 1 at 14:23
I don't think you want a
6d array. More likely there's confusion over shapes, (6,), (1,6), and (6,1).– hpaulj
Jan 1 at 14:39
I don't think you want a
6d array. More likely there's confusion over shapes, (6,), (1,6), and (6,1).– hpaulj
Jan 1 at 14:39
|
show 1 more comment
2 Answers
2
active
oldest
votes
Here, is the solution of your requirement which you mentioned above in comments, but important thing to understand is (6,) is not a 6-dimensional array. It's an array of shape (6, ) is 1-dimensional and consists of 6 elements.
import numpy as np
x = np.array([1,2,3,4,5,6])
x = np.reshape(a, (6,))
print(x.shape)
Output:
(6,)
print(x)
Output:
[1 2 3 4 5 6]
answered Jan 1 at 17:07
Abdur RehmanAbdur Rehman
621510
add a comment |
You can use numpy.reshape
import numpy as np
# for example my numpy array having 6 elements is [1,2,3,4,5,6]
a = np.array([1,2,3,4,5,6])
# array([1, 2, 3, 4,5,6])
b = np.reshape(a, (-1,1))
answered Jan 1 at 14:20
Aman RapariaAman Raparia
25028
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
Here, is the solution of your requirement which you mentioned above in comments, but important thing to understand is (6,) is not a 6-dimensional array. It's an array of shape (6, ) is 1-dimensional and consists of 6 elements.
import numpy as np
x = np.array([1,2,3,4,5,6])
x = np.reshape(a, (6,))
print(x.shape)
Output:
(6,)
print(x)
Output:
[1 2 3 4 5 6]
answered Jan 1 at 17:07
Abdur RehmanAbdur Rehman
621510
add a comment |
Here, is the solution of your requirement which you mentioned above in comments, but important thing to understand is (6,) is not a 6-dimensional array. It's an array of shape (6, ) is 1-dimensional and consists of 6 elements.
import numpy as np
x = np.array([1,2,3,4,5,6])
x = np.reshape(a, (6,))
print(x.shape)
Output:
(6,)
print(x)
Output:
[1 2 3 4 5 6]
answered Jan 1 at 17:07
Abdur RehmanAbdur Rehman
621510
add a comment |
Here, is the solution of your requirement which you mentioned above in comments, but important thing to understand is (6,) is not a 6-dimensional array. It's an array of shape (6, ) is 1-dimensional and consists of 6 elements.
import numpy as np
x = np.array([1,2,3,4,5,6])
x = np.reshape(a, (6,))
print(x.shape)
Output:
(6,)
print(x)
Output:
[1 2 3 4 5 6]
answered Jan 1 at 17:07
Abdur RehmanAbdur Rehman
621510
Here, is the solution of your requirement which you mentioned above in comments, but important thing to understand is (6,) is not a 6-dimensional array. It's an array of shape (6, ) is 1-dimensional and consists of 6 elements.
import numpy as np
x = np.array([1,2,3,4,5,6])
x = np.reshape(a, (6,))
print(x.shape)
Output:
(6,)
print(x)
Output:
[1 2 3 4 5 6]
answered Jan 1 at 17:07
Abdur RehmanAbdur Rehman
621510
answered Jan 1 at 17:07
Abdur RehmanAbdur Rehman
621510
answered Jan 1 at 17:07
Abdur RehmanAbdur Rehman
621510
answered Jan 1 at 17:07
Abdur RehmanAbdur Rehman
621510
621510
add a comment |
add a comment |
You can use numpy.reshape
import numpy as np
# for example my numpy array having 6 elements is [1,2,3,4,5,6]
a = np.array([1,2,3,4,5,6])
# array([1, 2, 3, 4,5,6])
b = np.reshape(a, (-1,1))
answered Jan 1 at 14:20
Aman RapariaAman Raparia
25028
add a comment |
You can use numpy.reshape
import numpy as np
# for example my numpy array having 6 elements is [1,2,3,4,5,6]
a = np.array([1,2,3,4,5,6])
# array([1, 2, 3, 4,5,6])
b = np.reshape(a, (-1,1))
answered Jan 1 at 14:20
Aman RapariaAman Raparia
25028
add a comment |
You can use numpy.reshape
import numpy as np
# for example my numpy array having 6 elements is [1,2,3,4,5,6]
a = np.array([1,2,3,4,5,6])
# array([1, 2, 3, 4,5,6])
b = np.reshape(a, (-1,1))
answered Jan 1 at 14:20
Aman RapariaAman Raparia
25028
You can use numpy.reshape
import numpy as np
# for example my numpy array having 6 elements is [1,2,3,4,5,6]
a = np.array([1,2,3,4,5,6])
# array([1, 2, 3, 4,5,6])
b = np.reshape(a, (-1,1))
answered Jan 1 at 14:20
Aman RapariaAman Raparia
25028
answered Jan 1 at 14:20
Aman RapariaAman Raparia
25028
answered Jan 1 at 14:20
Aman RapariaAman Raparia
25028
answered Jan 1 at 14:20
Aman RapariaAman Raparia
25028
25028
add a comment |
add a comment |
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What is the shape of your array and what is the expected output shape?
– Daniel Mesejo
Jan 1 at 14:13
docs.scipy.org/doc/numpy-1.15.0/reference/generated/…
– Daniel Mesejo
Jan 1 at 14:14
Provide a Minimal, Complete, and Verifiable example please. It is obvious to me what you want but that cannot be said for everyone and all future visitors without at least a coherent example.
– coldspeed
Jan 1 at 14:16
import numpy as np x = np.array([1,2,3,4,5,6]) x.ndim # is 1 what I need is: shape (6,)
– quibelua
Jan 1 at 14:23
I don't think you want a
6darray. More likely there's confusion over shapes, (6,), (1,6), and (6,1).– hpaulj
Jan 1 at 14:39