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For loop into numpy
Accessing the index in 'for' loops?Iterating over dictionaries using 'for' loopsDump a NumPy array into a csv fileNumpy - Getting index positions by testing adjacent indexesRemoving nan values from an array“Large data” work flows using pandasPython pptx custom color for each categoryPython Rubiks Cube How to tell if 2 states are equalPython - creating a building map with a dictionaryPYTHON INSERT MYSql query
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I'm just beginning to learn how to use numpy. I have this block of code and am looking to use numpy arrays to represent it. Any tips on how to go about doing so?
import numpy as np
for i in range(np):
direction = random.randint(1, 4)
if direction == NORTH:
ypositions[i] += 1
elif direction == SOUTH:
ypositions[i] -= 1
elif direction == EAST:
xpositions[i] += 1
elif direction == WEST:
xpositions[i] -= 1
python numpy
asked Mar 21 at 23:23
DylandDyland
134
add a comment |
I'm just beginning to learn how to use numpy. I have this block of code and am looking to use numpy arrays to represent it. Any tips on how to go about doing so?
import numpy as np
for i in range(np):
direction = random.randint(1, 4)
if direction == NORTH:
ypositions[i] += 1
elif direction == SOUTH:
ypositions[i] -= 1
elif direction == EAST:
xpositions[i] += 1
elif direction == WEST:
xpositions[i] -= 1
python numpy
asked Mar 21 at 23:23
DylandDyland
134
Represent what exactly?
– gmds
Mar 21 at 23:24
for i in range(np):is well off the mark. That's the module name. What are you expecting to iterate through here?
– roganjosh
Mar 21 at 23:24
add a comment |
I'm just beginning to learn how to use numpy. I have this block of code and am looking to use numpy arrays to represent it. Any tips on how to go about doing so?
import numpy as np
for i in range(np):
direction = random.randint(1, 4)
if direction == NORTH:
ypositions[i] += 1
elif direction == SOUTH:
ypositions[i] -= 1
elif direction == EAST:
xpositions[i] += 1
elif direction == WEST:
xpositions[i] -= 1
python numpy
asked Mar 21 at 23:23
DylandDyland
134
I'm just beginning to learn how to use numpy. I have this block of code and am looking to use numpy arrays to represent it. Any tips on how to go about doing so?
import numpy as np
for i in range(np):
direction = random.randint(1, 4)
if direction == NORTH:
ypositions[i] += 1
elif direction == SOUTH:
ypositions[i] -= 1
elif direction == EAST:
xpositions[i] += 1
elif direction == WEST:
xpositions[i] -= 1
python numpy
python numpy
asked Mar 21 at 23:23
DylandDyland
134
asked Mar 21 at 23:23
DylandDyland
134
edited Mar 21 at 23:27
Dyland
asked Mar 21 at 23:23
DylandDyland
134
asked Mar 21 at 23:23
DylandDyland
134
asked Mar 21 at 23:23
DylandDyland
134
134
Represent what exactly?
– gmds
Mar 21 at 23:24
for i in range(np):is well off the mark. That's the module name. What are you expecting to iterate through here?
– roganjosh
Mar 21 at 23:24
add a comment |
Represent what exactly?
– gmds
Mar 21 at 23:24
for i in range(np):is well off the mark. That's the module name. What are you expecting to iterate through here?
– roganjosh
Mar 21 at 23:24
Represent what exactly?
– gmds
Mar 21 at 23:24
Represent what exactly?
– gmds
Mar 21 at 23:24
for i in range(np): is well off the mark. That's the module name. What are you expecting to iterate through here?– roganjosh
Mar 21 at 23:24
for i in range(np): is well off the mark. That's the module name. What are you expecting to iterate through here?– roganjosh
Mar 21 at 23:24
add a comment |
1 Answer
1
active
oldest
votes
With numpy you need to think in terms of whole arrays. So, applying directional deltas based on some random number would need to operate on all coordinates at once.
for example (assuming xpositions and ypositions are numpy arrays):
directions = np.random.randint(1,4,25)
ypositions += directions == NORTH
ypositions -= directions == SOUTH
xpositions += directions == EAST
xpositions -= directions == WEST
answered Mar 21 at 23:56
Alain T.Alain T.
8,54711329
And offor i in range(np):? It's completely impossible to know what the OP intends to iterate.
– roganjosh
Mar 22 at 0:03
... I'm not the OP. But this can't answer the question if that isn't addressed.
– roganjosh
Mar 22 at 0:05
I had to assume that it was meant to be the range of entries in the xpositions and ypositions arrays. But I agreerange(np)makes no sense otherwise
– Alain T.
Mar 22 at 0:05
Alain T is correct. I meant it to be the range of entries in the xpositions and positions arrays. I've worked with arrays before in java but not in python (with numpy). I appreciate the help and patience you all have showed me about this question!
– Dyland
Mar 22 at 0:11
Well, if I let myself be stumped by every little mistake, I'd be asking questions not answering them. You're welcome.
– Alain T.
Mar 22 at 0:17
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
With numpy you need to think in terms of whole arrays. So, applying directional deltas based on some random number would need to operate on all coordinates at once.
for example (assuming xpositions and ypositions are numpy arrays):
directions = np.random.randint(1,4,25)
ypositions += directions == NORTH
ypositions -= directions == SOUTH
xpositions += directions == EAST
xpositions -= directions == WEST
answered Mar 21 at 23:56
Alain T.Alain T.
8,54711329
And offor i in range(np):? It's completely impossible to know what the OP intends to iterate.
– roganjosh
Mar 22 at 0:03
... I'm not the OP. But this can't answer the question if that isn't addressed.
– roganjosh
Mar 22 at 0:05
I had to assume that it was meant to be the range of entries in the xpositions and ypositions arrays. But I agreerange(np)makes no sense otherwise
– Alain T.
Mar 22 at 0:05
Alain T is correct. I meant it to be the range of entries in the xpositions and positions arrays. I've worked with arrays before in java but not in python (with numpy). I appreciate the help and patience you all have showed me about this question!
– Dyland
Mar 22 at 0:11
Well, if I let myself be stumped by every little mistake, I'd be asking questions not answering them. You're welcome.
– Alain T.
Mar 22 at 0:17
add a comment |
With numpy you need to think in terms of whole arrays. So, applying directional deltas based on some random number would need to operate on all coordinates at once.
for example (assuming xpositions and ypositions are numpy arrays):
directions = np.random.randint(1,4,25)
ypositions += directions == NORTH
ypositions -= directions == SOUTH
xpositions += directions == EAST
xpositions -= directions == WEST
answered Mar 21 at 23:56
Alain T.Alain T.
8,54711329
And offor i in range(np):? It's completely impossible to know what the OP intends to iterate.
– roganjosh
Mar 22 at 0:03
... I'm not the OP. But this can't answer the question if that isn't addressed.
– roganjosh
Mar 22 at 0:05
I had to assume that it was meant to be the range of entries in the xpositions and ypositions arrays. But I agreerange(np)makes no sense otherwise
– Alain T.
Mar 22 at 0:05
Alain T is correct. I meant it to be the range of entries in the xpositions and positions arrays. I've worked with arrays before in java but not in python (with numpy). I appreciate the help and patience you all have showed me about this question!
– Dyland
Mar 22 at 0:11
Well, if I let myself be stumped by every little mistake, I'd be asking questions not answering them. You're welcome.
– Alain T.
Mar 22 at 0:17
add a comment |
With numpy you need to think in terms of whole arrays. So, applying directional deltas based on some random number would need to operate on all coordinates at once.
for example (assuming xpositions and ypositions are numpy arrays):
directions = np.random.randint(1,4,25)
ypositions += directions == NORTH
ypositions -= directions == SOUTH
xpositions += directions == EAST
xpositions -= directions == WEST
answered Mar 21 at 23:56
Alain T.Alain T.
8,54711329
With numpy you need to think in terms of whole arrays. So, applying directional deltas based on some random number would need to operate on all coordinates at once.
for example (assuming xpositions and ypositions are numpy arrays):
directions = np.random.randint(1,4,25)
ypositions += directions == NORTH
ypositions -= directions == SOUTH
xpositions += directions == EAST
xpositions -= directions == WEST
answered Mar 21 at 23:56
Alain T.Alain T.
8,54711329
answered Mar 21 at 23:56
Alain T.Alain T.
8,54711329
answered Mar 21 at 23:56
Alain T.Alain T.
8,54711329
answered Mar 21 at 23:56
Alain T.Alain T.
8,54711329
8,54711329
And offor i in range(np):? It's completely impossible to know what the OP intends to iterate.
– roganjosh
Mar 22 at 0:03
... I'm not the OP. But this can't answer the question if that isn't addressed.
– roganjosh
Mar 22 at 0:05
I had to assume that it was meant to be the range of entries in the xpositions and ypositions arrays. But I agreerange(np)makes no sense otherwise
– Alain T.
Mar 22 at 0:05
Alain T is correct. I meant it to be the range of entries in the xpositions and positions arrays. I've worked with arrays before in java but not in python (with numpy). I appreciate the help and patience you all have showed me about this question!
– Dyland
Mar 22 at 0:11
Well, if I let myself be stumped by every little mistake, I'd be asking questions not answering them. You're welcome.
– Alain T.
Mar 22 at 0:17
add a comment |
And offor i in range(np):? It's completely impossible to know what the OP intends to iterate.
– roganjosh
Mar 22 at 0:03
... I'm not the OP. But this can't answer the question if that isn't addressed.
– roganjosh
Mar 22 at 0:05
I had to assume that it was meant to be the range of entries in the xpositions and ypositions arrays. But I agreerange(np)makes no sense otherwise
– Alain T.
Mar 22 at 0:05
Alain T is correct. I meant it to be the range of entries in the xpositions and positions arrays. I've worked with arrays before in java but not in python (with numpy). I appreciate the help and patience you all have showed me about this question!
– Dyland
Mar 22 at 0:11
Well, if I let myself be stumped by every little mistake, I'd be asking questions not answering them. You're welcome.
– Alain T.
Mar 22 at 0:17
And of
for i in range(np):? It's completely impossible to know what the OP intends to iterate.– roganjosh
Mar 22 at 0:03
And of
for i in range(np):? It's completely impossible to know what the OP intends to iterate.– roganjosh
Mar 22 at 0:03
... I'm not the OP. But this can't answer the question if that isn't addressed.
– roganjosh
Mar 22 at 0:05
... I'm not the OP. But this can't answer the question if that isn't addressed.
– roganjosh
Mar 22 at 0:05
I had to assume that it was meant to be the range of entries in the xpositions and ypositions arrays. But I agree
range(np) makes no sense otherwise– Alain T.
Mar 22 at 0:05
I had to assume that it was meant to be the range of entries in the xpositions and ypositions arrays. But I agree
range(np) makes no sense otherwise– Alain T.
Mar 22 at 0:05
Alain T is correct. I meant it to be the range of entries in the xpositions and positions arrays. I've worked with arrays before in java but not in python (with numpy). I appreciate the help and patience you all have showed me about this question!
– Dyland
Mar 22 at 0:11
Alain T is correct. I meant it to be the range of entries in the xpositions and positions arrays. I've worked with arrays before in java but not in python (with numpy). I appreciate the help and patience you all have showed me about this question!
– Dyland
Mar 22 at 0:11
Well, if I let myself be stumped by every little mistake, I'd be asking questions not answering them. You're welcome.
– Alain T.
Mar 22 at 0:17
Well, if I let myself be stumped by every little mistake, I'd be asking questions not answering them. You're welcome.
– Alain T.
Mar 22 at 0:17
add a comment |
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Represent what exactly?
– gmds
Mar 21 at 23:24
for i in range(np):is well off the mark. That's the module name. What are you expecting to iterate through here?– roganjosh
Mar 21 at 23:24