check how do i delete a specific element from a numpy matrix?
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0
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For example, I have a numpy array:
game.mat = np.zeros((6,7))
How can I remove the element for example, say in row 0 and column 5 of the matrix?
Is it possible to use the np.delete() function?
python python-3.x numpy matrix
edited Nov 11 at 9:00
ChaosPredictor
1,90911624
asked Nov 11 at 2:15
Ng Guanzhi
11
add a comment |
up vote
0
down vote
favorite
For example, I have a numpy array:
game.mat = np.zeros((6,7))
How can I remove the element for example, say in row 0 and column 5 of the matrix?
Is it possible to use the np.delete() function?
python python-3.x numpy matrix
edited Nov 11 at 9:00
ChaosPredictor
1,90911624
asked Nov 11 at 2:15
Ng Guanzhi
11
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
For example, I have a numpy array:
game.mat = np.zeros((6,7))
How can I remove the element for example, say in row 0 and column 5 of the matrix?
Is it possible to use the np.delete() function?
python python-3.x numpy matrix
edited Nov 11 at 9:00
ChaosPredictor
1,90911624
asked Nov 11 at 2:15
Ng Guanzhi
11
For example, I have a numpy array:
game.mat = np.zeros((6,7))
How can I remove the element for example, say in row 0 and column 5 of the matrix?
Is it possible to use the np.delete() function?
python python-3.x numpy matrix
python python-3.x numpy matrix
edited Nov 11 at 9:00
ChaosPredictor
1,90911624
asked Nov 11 at 2:15
Ng Guanzhi
11
edited Nov 11 at 9:00
ChaosPredictor
1,90911624
asked Nov 11 at 2:15
Ng Guanzhi
11
edited Nov 11 at 9:00
ChaosPredictor
1,90911624
edited Nov 11 at 9:00
ChaosPredictor
1,90911624
edited Nov 11 at 9:00
ChaosPredictor
1,90911624
1,90911624
asked Nov 11 at 2:15
Ng Guanzhi
11
asked Nov 11 at 2:15
Ng Guanzhi
11
asked Nov 11 at 2:15
Ng Guanzhi
11
11
add a comment |
add a comment |
1 Answer
1
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up vote
2
down vote
You can't remove one cell of a matrix. A matrix (both in mathematics and in NumPy) is a rectangular "table" of numbers, and it does not have gaps.
What you can do is mark the value as missing or unusable. Two common ways to do that are:
- Replace the value with
np.nan(or some known value like 0 or -1 if the dtype is integer, hence lacks NAN support). - Use numpy.ma, the "masked array" module which carries a boolean array (matrix) alongside your regular data, indicating which values are usable and which are not.
answered Nov 11 at 2:24
John Zwinck
150k16175286
add a comment |
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1 Answer
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
2
down vote
You can't remove one cell of a matrix. A matrix (both in mathematics and in NumPy) is a rectangular "table" of numbers, and it does not have gaps.
What you can do is mark the value as missing or unusable. Two common ways to do that are:
- Replace the value with
np.nan(or some known value like 0 or -1 if the dtype is integer, hence lacks NAN support). - Use numpy.ma, the "masked array" module which carries a boolean array (matrix) alongside your regular data, indicating which values are usable and which are not.
answered Nov 11 at 2:24
John Zwinck
150k16175286
add a comment |
up vote
2
down vote
You can't remove one cell of a matrix. A matrix (both in mathematics and in NumPy) is a rectangular "table" of numbers, and it does not have gaps.
What you can do is mark the value as missing or unusable. Two common ways to do that are:
- Replace the value with
np.nan(or some known value like 0 or -1 if the dtype is integer, hence lacks NAN support). - Use numpy.ma, the "masked array" module which carries a boolean array (matrix) alongside your regular data, indicating which values are usable and which are not.
answered Nov 11 at 2:24
John Zwinck
150k16175286
add a comment |
up vote
2
down vote
up vote
2
down vote
You can't remove one cell of a matrix. A matrix (both in mathematics and in NumPy) is a rectangular "table" of numbers, and it does not have gaps.
What you can do is mark the value as missing or unusable. Two common ways to do that are:
- Replace the value with
np.nan(or some known value like 0 or -1 if the dtype is integer, hence lacks NAN support). - Use numpy.ma, the "masked array" module which carries a boolean array (matrix) alongside your regular data, indicating which values are usable and which are not.
answered Nov 11 at 2:24
John Zwinck
150k16175286
You can't remove one cell of a matrix. A matrix (both in mathematics and in NumPy) is a rectangular "table" of numbers, and it does not have gaps.
What you can do is mark the value as missing or unusable. Two common ways to do that are:
- Replace the value with
np.nan(or some known value like 0 or -1 if the dtype is integer, hence lacks NAN support). - Use numpy.ma, the "masked array" module which carries a boolean array (matrix) alongside your regular data, indicating which values are usable and which are not.
answered Nov 11 at 2:24
John Zwinck
150k16175286
answered Nov 11 at 2:24
John Zwinck
150k16175286
answered Nov 11 at 2:24
John Zwinck
150k16175286
answered Nov 11 at 2:24
John Zwinck
150k16175286
150k16175286
add a comment |
add a comment |
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