Parallel For to Export Snapshots
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is it possible to easily parallelize a for loop in python to help me export my snapshots faster. I cannot find any easy way and I am not even sure it is possible. Thanks for any help in advance!
for i in range(393849):
plt.plot(xpar[0:i],ypar[0:i],color='g')
plt.grid(True)
axes = plt.gca()
axes.set_xlim(2.9962,3.006)
axes.set_ylim(-0.002,0.028)
filename='snaps/{}.jpg'.format(i)
plt.savefig(filename)
python python-3.x parallel-processing
asked Nov 23 '18 at 19:27
Kostis PapadakisKostis Papadakis
125
add a comment |
0
is it possible to easily parallelize a for loop in python to help me export my snapshots faster. I cannot find any easy way and I am not even sure it is possible. Thanks for any help in advance!
for i in range(393849):
plt.plot(xpar[0:i],ypar[0:i],color='g')
plt.grid(True)
axes = plt.gca()
axes.set_xlim(2.9962,3.006)
axes.set_ylim(-0.002,0.028)
filename='snaps/{}.jpg'.format(i)
plt.savefig(filename)
python python-3.x parallel-processing
asked Nov 23 '18 at 19:27
Kostis PapadakisKostis Papadakis
125
do you need to repaint a subplot on each iteration?
– RomanPerekhrest
Nov 23 '18 at 19:50
unfortunately yes...
– Kostis Papadakis
Nov 23 '18 at 20:25
Can you writexparandyparto a file easily enough? Then you could use GNU Parallel to run 4 or 8 (or however many CPU cores you have) independent instances of the Python interpreter, each doing a subset of the plots...
– Mark Setchell
Nov 23 '18 at 20:52
thanks fot he answer! Of course i can. How would I go by using GNU Parallel ? Any further help would be awesome!
– Kostis Papadakis
Nov 24 '18 at 0:21
add a comment |
0
0
0
is it possible to easily parallelize a for loop in python to help me export my snapshots faster. I cannot find any easy way and I am not even sure it is possible. Thanks for any help in advance!
for i in range(393849):
plt.plot(xpar[0:i],ypar[0:i],color='g')
plt.grid(True)
axes = plt.gca()
axes.set_xlim(2.9962,3.006)
axes.set_ylim(-0.002,0.028)
filename='snaps/{}.jpg'.format(i)
plt.savefig(filename)
python python-3.x parallel-processing
asked Nov 23 '18 at 19:27
Kostis PapadakisKostis Papadakis
125
is it possible to easily parallelize a for loop in python to help me export my snapshots faster. I cannot find any easy way and I am not even sure it is possible. Thanks for any help in advance!
for i in range(393849):
plt.plot(xpar[0:i],ypar[0:i],color='g')
plt.grid(True)
axes = plt.gca()
axes.set_xlim(2.9962,3.006)
axes.set_ylim(-0.002,0.028)
filename='snaps/{}.jpg'.format(i)
plt.savefig(filename)
python python-3.x parallel-processing
python python-3.x parallel-processing
asked Nov 23 '18 at 19:27
Kostis PapadakisKostis Papadakis
125
asked Nov 23 '18 at 19:27
Kostis PapadakisKostis Papadakis
125
asked Nov 23 '18 at 19:27
Kostis PapadakisKostis Papadakis
125
asked Nov 23 '18 at 19:27
Kostis PapadakisKostis Papadakis
125
asked Nov 23 '18 at 19:27
Kostis PapadakisKostis Papadakis
125
125
do you need to repaint a subplot on each iteration?
– RomanPerekhrest
Nov 23 '18 at 19:50
unfortunately yes...
– Kostis Papadakis
Nov 23 '18 at 20:25
Can you writexparandyparto a file easily enough? Then you could use GNU Parallel to run 4 or 8 (or however many CPU cores you have) independent instances of the Python interpreter, each doing a subset of the plots...
– Mark Setchell
Nov 23 '18 at 20:52
thanks fot he answer! Of course i can. How would I go by using GNU Parallel ? Any further help would be awesome!
– Kostis Papadakis
Nov 24 '18 at 0:21
add a comment |
do you need to repaint a subplot on each iteration?
– RomanPerekhrest
Nov 23 '18 at 19:50
unfortunately yes...
– Kostis Papadakis
Nov 23 '18 at 20:25
Can you writexparandyparto a file easily enough? Then you could use GNU Parallel to run 4 or 8 (or however many CPU cores you have) independent instances of the Python interpreter, each doing a subset of the plots...
– Mark Setchell
Nov 23 '18 at 20:52
thanks fot he answer! Of course i can. How would I go by using GNU Parallel ? Any further help would be awesome!
– Kostis Papadakis
Nov 24 '18 at 0:21
do you need to repaint a subplot on each iteration?
– RomanPerekhrest
Nov 23 '18 at 19:50
do you need to repaint a subplot on each iteration?
– RomanPerekhrest
Nov 23 '18 at 19:50
unfortunately yes...
– Kostis Papadakis
Nov 23 '18 at 20:25
unfortunately yes...
– Kostis Papadakis
Nov 23 '18 at 20:25
Can you write
xpar and ypar to a file easily enough? Then you could use GNU Parallel to run 4 or 8 (or however many CPU cores you have) independent instances of the Python interpreter, each doing a subset of the plots...– Mark Setchell
Nov 23 '18 at 20:52
Can you write
xpar and ypar to a file easily enough? Then you could use GNU Parallel to run 4 or 8 (or however many CPU cores you have) independent instances of the Python interpreter, each doing a subset of the plots...– Mark Setchell
Nov 23 '18 at 20:52
thanks fot he answer! Of course i can. How would I go by using GNU Parallel ? Any further help would be awesome!
– Kostis Papadakis
Nov 24 '18 at 0:21
thanks fot he answer! Of course i can. How would I go by using GNU Parallel ? Any further help would be awesome!
– Kostis Papadakis
Nov 24 '18 at 0:21
add a comment |
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do you need to repaint a subplot on each iteration?
– RomanPerekhrest
Nov 23 '18 at 19:50
unfortunately yes...
– Kostis Papadakis
Nov 23 '18 at 20:25
Can you write
xparandyparto a file easily enough? Then you could use GNU Parallel to run 4 or 8 (or however many CPU cores you have) independent instances of the Python interpreter, each doing a subset of the plots...– Mark Setchell
Nov 23 '18 at 20:52
thanks fot he answer! Of course i can. How would I go by using GNU Parallel ? Any further help would be awesome!
– Kostis Papadakis
Nov 24 '18 at 0:21