Segmentation fault (core dumped) using matplotlib on Ubuntu Mate 16.04Segmentation fault (core dumped) after...
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Segmentation fault (core dumped) using matplotlib on Ubuntu Mate 16.04
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I recently installed on my machine (an old imac) Ubuntu Mate 16.04. When I try to run a python script from terminal I get the error:
Segmentation fault (core dumped)
The same script works perfectly in other machines and used to work well in my machine when it mounted Xubuntu 14.04.
This is probably a problem with python in Ubuntu Mate 16.04 and in particular with matplotlib: my script gives me the error when trying to draw a plot using pyplot.
Other python scripts that don't use matplotlib work perfectly.
According to my terminal, matplotlib is the newest version (1.5.1-1ubuntu1).
python 16.04 ubuntu-mate matplotlib
asked Apr 29 '16 at 11:14
ValeVale
2317
add a comment |
I recently installed on my machine (an old imac) Ubuntu Mate 16.04. When I try to run a python script from terminal I get the error:
Segmentation fault (core dumped)
The same script works perfectly in other machines and used to work well in my machine when it mounted Xubuntu 14.04.
This is probably a problem with python in Ubuntu Mate 16.04 and in particular with matplotlib: my script gives me the error when trying to draw a plot using pyplot.
Other python scripts that don't use matplotlib work perfectly.
According to my terminal, matplotlib is the newest version (1.5.1-1ubuntu1).
python 16.04 ubuntu-mate matplotlib
asked Apr 29 '16 at 11:14
ValeVale
2317
add a comment |
I recently installed on my machine (an old imac) Ubuntu Mate 16.04. When I try to run a python script from terminal I get the error:
Segmentation fault (core dumped)
The same script works perfectly in other machines and used to work well in my machine when it mounted Xubuntu 14.04.
This is probably a problem with python in Ubuntu Mate 16.04 and in particular with matplotlib: my script gives me the error when trying to draw a plot using pyplot.
Other python scripts that don't use matplotlib work perfectly.
According to my terminal, matplotlib is the newest version (1.5.1-1ubuntu1).
python 16.04 ubuntu-mate matplotlib
asked Apr 29 '16 at 11:14
ValeVale
2317
I recently installed on my machine (an old imac) Ubuntu Mate 16.04. When I try to run a python script from terminal I get the error:
Segmentation fault (core dumped)
The same script works perfectly in other machines and used to work well in my machine when it mounted Xubuntu 14.04.
This is probably a problem with python in Ubuntu Mate 16.04 and in particular with matplotlib: my script gives me the error when trying to draw a plot using pyplot.
Other python scripts that don't use matplotlib work perfectly.
According to my terminal, matplotlib is the newest version (1.5.1-1ubuntu1).
python 16.04 ubuntu-mate matplotlib
python 16.04 ubuntu-mate matplotlib
asked Apr 29 '16 at 11:14
ValeVale
2317
asked Apr 29 '16 at 11:14
ValeVale
2317
edited Apr 30 '16 at 16:04
Vale
asked Apr 29 '16 at 11:14
ValeVale
2317
asked Apr 29 '16 at 11:14
ValeVale
2317
asked Apr 29 '16 at 11:14
ValeVale
2317
2317
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
It could be related to the backend you are using.
Here you can find how to get a list of avaliable backends.
To use a backend just call matplotlib.use("chosen-backend") at the start of your script.
Alternatively I suggest to try and use virtualenv and install all packages (including matplotlib) locally, using pip.
edited May 23 '17 at 12:39
Community♦
1
answered May 13 '16 at 14:32
cecconeuralececconeurale
463
This solved my problem. I had to change the backend AND remove the extension from the file name of the plot that I was trying to save. I can't choose the figures' format now, but at least they get saved.
– Vale
May 13 '16 at 17:17
add a comment |
As suggested above, you can change the chosen-backend or install qt5 as suggested in these issues 1 and 2. Installing qt5 worked for me.
answered 11 mins ago
Rahul PatelRahul Patel
111
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
It could be related to the backend you are using.
Here you can find how to get a list of avaliable backends.
To use a backend just call matplotlib.use("chosen-backend") at the start of your script.
Alternatively I suggest to try and use virtualenv and install all packages (including matplotlib) locally, using pip.
edited May 23 '17 at 12:39
Community♦
1
answered May 13 '16 at 14:32
cecconeuralececconeurale
463
This solved my problem. I had to change the backend AND remove the extension from the file name of the plot that I was trying to save. I can't choose the figures' format now, but at least they get saved.
– Vale
May 13 '16 at 17:17
add a comment |
It could be related to the backend you are using.
Here you can find how to get a list of avaliable backends.
To use a backend just call matplotlib.use("chosen-backend") at the start of your script.
Alternatively I suggest to try and use virtualenv and install all packages (including matplotlib) locally, using pip.
edited May 23 '17 at 12:39
Community♦
1
answered May 13 '16 at 14:32
cecconeuralececconeurale
463
This solved my problem. I had to change the backend AND remove the extension from the file name of the plot that I was trying to save. I can't choose the figures' format now, but at least they get saved.
– Vale
May 13 '16 at 17:17
add a comment |
It could be related to the backend you are using.
Here you can find how to get a list of avaliable backends.
To use a backend just call matplotlib.use("chosen-backend") at the start of your script.
Alternatively I suggest to try and use virtualenv and install all packages (including matplotlib) locally, using pip.
edited May 23 '17 at 12:39
Community♦
1
answered May 13 '16 at 14:32
cecconeuralececconeurale
463
It could be related to the backend you are using.
Here you can find how to get a list of avaliable backends.
To use a backend just call matplotlib.use("chosen-backend") at the start of your script.
Alternatively I suggest to try and use virtualenv and install all packages (including matplotlib) locally, using pip.
edited May 23 '17 at 12:39
Community♦
1
answered May 13 '16 at 14:32
cecconeuralececconeurale
463
edited May 23 '17 at 12:39
Community♦
1
edited May 23 '17 at 12:39
Community♦
1
edited May 23 '17 at 12:39
Community♦
1
1
answered May 13 '16 at 14:32
cecconeuralececconeurale
463
answered May 13 '16 at 14:32
cecconeuralececconeurale
463
answered May 13 '16 at 14:32
cecconeuralececconeurale
463
463
This solved my problem. I had to change the backend AND remove the extension from the file name of the plot that I was trying to save. I can't choose the figures' format now, but at least they get saved.
– Vale
May 13 '16 at 17:17
add a comment |
This solved my problem. I had to change the backend AND remove the extension from the file name of the plot that I was trying to save. I can't choose the figures' format now, but at least they get saved.
– Vale
May 13 '16 at 17:17
This solved my problem. I had to change the backend AND remove the extension from the file name of the plot that I was trying to save. I can't choose the figures' format now, but at least they get saved.
– Vale
May 13 '16 at 17:17
This solved my problem. I had to change the backend AND remove the extension from the file name of the plot that I was trying to save. I can't choose the figures' format now, but at least they get saved.
– Vale
May 13 '16 at 17:17
add a comment |
As suggested above, you can change the chosen-backend or install qt5 as suggested in these issues 1 and 2. Installing qt5 worked for me.
answered 11 mins ago
Rahul PatelRahul Patel
111
add a comment |
As suggested above, you can change the chosen-backend or install qt5 as suggested in these issues 1 and 2. Installing qt5 worked for me.
answered 11 mins ago
Rahul PatelRahul Patel
111
add a comment |
As suggested above, you can change the chosen-backend or install qt5 as suggested in these issues 1 and 2. Installing qt5 worked for me.
answered 11 mins ago
Rahul PatelRahul Patel
111
As suggested above, you can change the chosen-backend or install qt5 as suggested in these issues 1 and 2. Installing qt5 worked for me.
answered 11 mins ago
Rahul PatelRahul Patel
111
answered 11 mins ago
Rahul PatelRahul Patel
111
answered 11 mins ago
Rahul PatelRahul Patel
111
answered 11 mins ago
Rahul PatelRahul Patel
111
111
add a comment |
add a comment |
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