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?

edited Nov 11 at 9:00

ChaosPredictor

1,86711623

asked Nov 11 at 2:15

Ng Guanzhi

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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?

edited Nov 11 at 9:00

ChaosPredictor

1,86711623

asked Nov 11 at 2:15

Ng Guanzhi

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?

edited Nov 11 at 9:00

ChaosPredictor

1,86711623

asked Nov 11 at 2:15

Ng Guanzhi

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

1,86711623

asked Nov 11 at 2:15

Ng Guanzhi

edited Nov 11 at 9:00

ChaosPredictor

1,86711623

asked Nov 11 at 2:15

Ng Guanzhi

edited Nov 11 at 9:00

ChaosPredictor

1,86711623

edited Nov 11 at 9:00

ChaosPredictor

1,86711623

edited Nov 11 at 9:00

ChaosPredictor

1,86711623

asked Nov 11 at 2:15

Ng Guanzhi

asked Nov 11 at 2:15

Ng Guanzhi

asked Nov 11 at 2:15

Ng Guanzhi

add a comment |

1 Answer
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2
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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

148k16175286

add a comment |

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1 Answer
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active

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1 Answer
1

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

148k16175286

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

148k16175286

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

148k16175286

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

148k16175286

answered Nov 11 at 2:24

John Zwinck

148k16175286

answered Nov 11 at 2:24

John Zwinck

148k16175286

answered Nov 11 at 2:24

John Zwinck

148k16175286

add a comment |

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