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multiplying two array in python3.7

Tensorflow neural network TypeError: Fetch argument has invalid typeAppending to numpy array for creating datasetCustom conditional Keras metricTypeError: '<' not supported between instances of 'int' and 'str'The truth value of an array with more than one element is ambiguousHow feed a numpy array in batches in KerasPython: multiplication of sparse matrices slower in csr_matrix than numpy

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1

$begingroup$

I am trying to multiply two array in python 3.7 using numpy by using the following syntax:

array1 = np.array([1,2,3,4,5,6,7,8]) 
print (array1) 
array2=array1*array1 
print(array2) 

but this error arises

TypeError: unsupported operand type(s) for *: 'set' and 'set'

python numpy

share|improve this question

edited 10 hours ago

Peter

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asked 11 hours ago

Charvi YadavCharvi Yadav

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$endgroup$

add a comment | 

1

$begingroup$

I am trying to multiply two array in python 3.7 using numpy by using the following syntax:

array1 = np.array([1,2,3,4,5,6,7,8]) 
print (array1) 
array2=array1*array1 
print(array2) 

but this error arises

TypeError: unsupported operand type(s) for *: 'set' and 'set'

python numpy

share|improve this question

edited 10 hours ago

Peter

1,32911 gold badge33 silver badges1919 bronze badges

asked 11 hours ago

Charvi YadavCharvi Yadav

611 bronze badge

New contributor

Charvi Yadav is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

$endgroup$

add a comment | 

$begingroup$

I am trying to multiply two array in python 3.7 using numpy by using the following syntax:

array1 = np.array([1,2,3,4,5,6,7,8]) 
print (array1) 
array2=array1*array1 
print(array2) 

but this error arises

TypeError: unsupported operand type(s) for *: 'set' and 'set'

python numpy

share|improve this question

edited 10 hours ago

Peter

1,32911 gold badge33 silver badges1919 bronze badges

asked 11 hours ago

Charvi YadavCharvi Yadav

611 bronze badge

New contributor

Charvi Yadav is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

$endgroup$

array1 = np.array([1,2,3,4,5,6,7,8]) 
print (array1) 
array2=array1*array1 
print(array2) 

TypeError: unsupported operand type(s) for *: 'set' and 'set'

share|improve this question

edited 10 hours ago

Peter

1,32911 gold badge33 silver badges1919 bronze badges

asked 11 hours ago

Charvi YadavCharvi Yadav

611 bronze badge

New contributor

Charvi Yadav is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

share|improve this question

edited 10 hours ago

Peter

1,32911 gold badge33 silver badges1919 bronze badges

asked 11 hours ago

Charvi YadavCharvi Yadav

611 bronze badge

New contributor

Charvi Yadav is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

edited 10 hours ago

Peter

1,32911 gold badge33 silver badges1919 bronze badges

edited 10 hours ago

Peter

1,32911 gold badge33 silver badges1919 bronze badges

asked 11 hours ago

Charvi YadavCharvi Yadav

611 bronze badge

New contributor

Charvi Yadav is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

asked 11 hours ago

Charvi YadavCharvi Yadav

611 bronze badge

1 Answer
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2

$begingroup$

You are simply defining your array so that it is made of python sets. That is a different data structure which is not able to be multiplied, unlike an array.

Just change your code to this:

array1 = np.array([[1,2,3,4],[5,6,7,8]])

The only difference is using square brackets instead of curly ones. These are python list objects (or standard arrays).

array2=array1*array1 
print(array2)

[[ 1 4 9 16]
 [25 36 49 64]]

share|improve this answer

answered 8 hours ago

n1k31t4n1k31t4

8,01122 gold badges66 silver badges2727 bronze badges

$endgroup$

add a comment | 

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2

$begingroup$

You are simply defining your array so that it is made of python sets. That is a different data structure which is not able to be multiplied, unlike an array.

Just change your code to this:

array1 = np.array([[1,2,3,4],[5,6,7,8]])

The only difference is using square brackets instead of curly ones. These are python list objects (or standard arrays).

array2=array1*array1 
print(array2)

[[ 1 4 9 16]
 [25 36 49 64]]

share|improve this answer

answered 8 hours ago

n1k31t4n1k31t4

8,01122 gold badges66 silver badges2727 bronze badges

$endgroup$

add a comment | 

2

$begingroup$

You are simply defining your array so that it is made of python sets. That is a different data structure which is not able to be multiplied, unlike an array.

Just change your code to this:

array1 = np.array([[1,2,3,4],[5,6,7,8]])

The only difference is using square brackets instead of curly ones. These are python list objects (or standard arrays).

array2=array1*array1 
print(array2)

[[ 1 4 9 16]
 [25 36 49 64]]

share|improve this answer

answered 8 hours ago

n1k31t4n1k31t4

8,01122 gold badges66 silver badges2727 bronze badges

$endgroup$

add a comment | 

$begingroup$

You are simply defining your array so that it is made of python sets. That is a different data structure which is not able to be multiplied, unlike an array.

Just change your code to this:

array1 = np.array([[1,2,3,4],[5,6,7,8]])

The only difference is using square brackets instead of curly ones. These are python list objects (or standard arrays).

array2=array1*array1 
print(array2)

[[ 1 4 9 16]
 [25 36 49 64]]

share|improve this answer

answered 8 hours ago

n1k31t4n1k31t4

8,01122 gold badges66 silver badges2727 bronze badges

$endgroup$

array1 = np.array([[1,2,3,4],[5,6,7,8]])

array2=array1*array1 
print(array2)

[[ 1 4 9 16]
 [25 36 49 64]]

share|improve this answer

answered 8 hours ago

n1k31t4n1k31t4

8,01122 gold badges66 silver badges2727 bronze badges

answered 8 hours ago

n1k31t4n1k31t4

8,01122 gold badges66 silver badges2727 bronze badges

answered 8 hours ago

n1k31t4n1k31t4

8,01122 gold badges66 silver badges2727 bronze badges