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multiplying two array in python3.7

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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 9 hours ago

Peter

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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 9 hours ago

Peter

1,32911 gold badge33 silver badges1919 bronze badges

asked 10 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 9 hours ago

Peter

1,32911 gold badge33 silver badges1919 bronze badges

asked 10 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 9 hours ago

Peter

1,32911 gold badge33 silver badges1919 bronze badges

asked 10 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 9 hours ago

Peter

1,32911 gold badge33 silver badges1919 bronze badges

asked 10 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 9 hours ago

Peter

1,32911 gold badge33 silver badges1919 bronze badges

edited 9 hours ago

Peter

1,32911 gold badge33 silver badges1919 bronze badges

asked 10 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 10 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 7 hours ago

n1k31t4n1k31t4

8,01122 gold badges66 silver badges2727 bronze badges

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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 7 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 7 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 7 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 7 hours ago

n1k31t4n1k31t4

8,01122 gold badges66 silver badges2727 bronze badges

answered 7 hours ago

n1k31t4n1k31t4

8,01122 gold badges66 silver badges2727 bronze badges

answered 7 hours ago

n1k31t4n1k31t4

8,01122 gold badges66 silver badges2727 bronze badges