Plot-style of matplotlib
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I'd like to know why matplotlib outputs plots in different styles depending on which system I run the file. For example, I let the same code run twice, once on a Windows machine and once on Ubuntu system, and got the following two plots
The information in the plots is obviously the same, but is there a special command to let matplotlib know that I'd, for example, would like all my plots to be produced in the "Ubuntu style" (lower of the two) version?
python python-3.x matplotlib plot
asked Nov 16 '18 at 13:02
SitoSito
192313
add a comment |
I'd like to know why matplotlib outputs plots in different styles depending on which system I run the file. For example, I let the same code run twice, once on a Windows machine and once on Ubuntu system, and got the following two plots
The information in the plots is obviously the same, but is there a special command to let matplotlib know that I'd, for example, would like all my plots to be produced in the "Ubuntu style" (lower of the two) version?
python python-3.x matplotlib plot
asked Nov 16 '18 at 13:02
SitoSito
192313
It's to do with the backend that is used - it's different by default for Windows and Unix. matplotlib.org/faq/usage_faq.html#what-is-a-backend You can set it like this:backend : WXAgg
– Ben Jones
Nov 16 '18 at 13:05
1
You have two different versions of matplotlib installed on both systems. Check the version viaprint(matplotlib.__version__). Obviously you can install the same version on all your computers and get the same output. I don't know which of the two plots you call "Ubuntu style", which would be important to know for alternative solutions.
– ImportanceOfBeingErnest
Nov 16 '18 at 13:08
It has nothing to do with the backend though, as claimed by the other comment.
– ImportanceOfBeingErnest
Nov 16 '18 at 13:09
@ImportanceOfBeingErnest Thanks for the info, I edited the question. Would still be nice to know how I could change it to the other version withou having to install different versions.
– Sito
Nov 16 '18 at 13:11
Ah yes you're right @ImportanceOfBeingErnest
– Ben Jones
Nov 16 '18 at 13:27
add a comment |
I'd like to know why matplotlib outputs plots in different styles depending on which system I run the file. For example, I let the same code run twice, once on a Windows machine and once on Ubuntu system, and got the following two plots
The information in the plots is obviously the same, but is there a special command to let matplotlib know that I'd, for example, would like all my plots to be produced in the "Ubuntu style" (lower of the two) version?
python python-3.x matplotlib plot
asked Nov 16 '18 at 13:02
SitoSito
192313
I'd like to know why matplotlib outputs plots in different styles depending on which system I run the file. For example, I let the same code run twice, once on a Windows machine and once on Ubuntu system, and got the following two plots
The information in the plots is obviously the same, but is there a special command to let matplotlib know that I'd, for example, would like all my plots to be produced in the "Ubuntu style" (lower of the two) version?
python python-3.x matplotlib plot
python python-3.x matplotlib plot
asked Nov 16 '18 at 13:02
SitoSito
192313
asked Nov 16 '18 at 13:02
SitoSito
192313
edited Nov 16 '18 at 13:09
Sito
asked Nov 16 '18 at 13:02
SitoSito
192313
asked Nov 16 '18 at 13:02
SitoSito
192313
asked Nov 16 '18 at 13:02
SitoSito
192313
192313
It's to do with the backend that is used - it's different by default for Windows and Unix. matplotlib.org/faq/usage_faq.html#what-is-a-backend You can set it like this:backend : WXAgg
– Ben Jones
Nov 16 '18 at 13:05
1
You have two different versions of matplotlib installed on both systems. Check the version viaprint(matplotlib.__version__). Obviously you can install the same version on all your computers and get the same output. I don't know which of the two plots you call "Ubuntu style", which would be important to know for alternative solutions.
– ImportanceOfBeingErnest
Nov 16 '18 at 13:08
It has nothing to do with the backend though, as claimed by the other comment.
– ImportanceOfBeingErnest
Nov 16 '18 at 13:09
@ImportanceOfBeingErnest Thanks for the info, I edited the question. Would still be nice to know how I could change it to the other version withou having to install different versions.
– Sito
Nov 16 '18 at 13:11
Ah yes you're right @ImportanceOfBeingErnest
– Ben Jones
Nov 16 '18 at 13:27
add a comment |
It's to do with the backend that is used - it's different by default for Windows and Unix. matplotlib.org/faq/usage_faq.html#what-is-a-backend You can set it like this:backend : WXAgg
– Ben Jones
Nov 16 '18 at 13:05
1
You have two different versions of matplotlib installed on both systems. Check the version viaprint(matplotlib.__version__). Obviously you can install the same version on all your computers and get the same output. I don't know which of the two plots you call "Ubuntu style", which would be important to know for alternative solutions.
– ImportanceOfBeingErnest
Nov 16 '18 at 13:08
It has nothing to do with the backend though, as claimed by the other comment.
– ImportanceOfBeingErnest
Nov 16 '18 at 13:09
@ImportanceOfBeingErnest Thanks for the info, I edited the question. Would still be nice to know how I could change it to the other version withou having to install different versions.
– Sito
Nov 16 '18 at 13:11
Ah yes you're right @ImportanceOfBeingErnest
– Ben Jones
Nov 16 '18 at 13:27
It's to do with the backend that is used - it's different by default for Windows and Unix. matplotlib.org/faq/usage_faq.html#what-is-a-backend You can set it like this:
backend : WXAgg– Ben Jones
Nov 16 '18 at 13:05
It's to do with the backend that is used - it's different by default for Windows and Unix. matplotlib.org/faq/usage_faq.html#what-is-a-backend You can set it like this:
backend : WXAgg– Ben Jones
Nov 16 '18 at 13:05
1
1
You have two different versions of matplotlib installed on both systems. Check the version via
print(matplotlib.__version__). Obviously you can install the same version on all your computers and get the same output. I don't know which of the two plots you call "Ubuntu style", which would be important to know for alternative solutions.– ImportanceOfBeingErnest
Nov 16 '18 at 13:08
You have two different versions of matplotlib installed on both systems. Check the version via
print(matplotlib.__version__). Obviously you can install the same version on all your computers and get the same output. I don't know which of the two plots you call "Ubuntu style", which would be important to know for alternative solutions.– ImportanceOfBeingErnest
Nov 16 '18 at 13:08
It has nothing to do with the backend though, as claimed by the other comment.
– ImportanceOfBeingErnest
Nov 16 '18 at 13:09
It has nothing to do with the backend though, as claimed by the other comment.
– ImportanceOfBeingErnest
Nov 16 '18 at 13:09
@ImportanceOfBeingErnest Thanks for the info, I edited the question. Would still be nice to know how I could change it to the other version withou having to install different versions.
– Sito
Nov 16 '18 at 13:11
@ImportanceOfBeingErnest Thanks for the info, I edited the question. Would still be nice to know how I could change it to the other version withou having to install different versions.
– Sito
Nov 16 '18 at 13:11
Ah yes you're right @ImportanceOfBeingErnest
– Ben Jones
Nov 16 '18 at 13:27
Ah yes you're right @ImportanceOfBeingErnest
– Ben Jones
Nov 16 '18 at 13:27
add a comment |
1 Answer
1
active
oldest
votes
The upper plot is produced with a version of matplotlib >= 2.0. The lower plot is produced with a version < 2.0. The style changes are documented in the Changes to the default style.
It's hardly possible to make a matplotlib version < 2.0 produce the exact output you'd get with matplotlib >= 2.0, although you might copy the style sheet from a newer version to the old one and set the parameters accordingly.
The inverse is however possible. To get the old (classic) style in a new version of matplotlib should be possible via
import matplotlib.pyplot as plt
plt.style.use("classic")
answered Nov 16 '18 at 13:19
ImportanceOfBeingErnestImportanceOfBeingErnest
141k13166243
Works perfectly, thanks!
– Sito
Nov 16 '18 at 13:28
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
The upper plot is produced with a version of matplotlib >= 2.0. The lower plot is produced with a version < 2.0. The style changes are documented in the Changes to the default style.
It's hardly possible to make a matplotlib version < 2.0 produce the exact output you'd get with matplotlib >= 2.0, although you might copy the style sheet from a newer version to the old one and set the parameters accordingly.
The inverse is however possible. To get the old (classic) style in a new version of matplotlib should be possible via
import matplotlib.pyplot as plt
plt.style.use("classic")
answered Nov 16 '18 at 13:19
ImportanceOfBeingErnestImportanceOfBeingErnest
141k13166243
Works perfectly, thanks!
– Sito
Nov 16 '18 at 13:28
add a comment |
The upper plot is produced with a version of matplotlib >= 2.0. The lower plot is produced with a version < 2.0. The style changes are documented in the Changes to the default style.
It's hardly possible to make a matplotlib version < 2.0 produce the exact output you'd get with matplotlib >= 2.0, although you might copy the style sheet from a newer version to the old one and set the parameters accordingly.
The inverse is however possible. To get the old (classic) style in a new version of matplotlib should be possible via
import matplotlib.pyplot as plt
plt.style.use("classic")
answered Nov 16 '18 at 13:19
ImportanceOfBeingErnestImportanceOfBeingErnest
141k13166243
Works perfectly, thanks!
– Sito
Nov 16 '18 at 13:28
add a comment |
The upper plot is produced with a version of matplotlib >= 2.0. The lower plot is produced with a version < 2.0. The style changes are documented in the Changes to the default style.
It's hardly possible to make a matplotlib version < 2.0 produce the exact output you'd get with matplotlib >= 2.0, although you might copy the style sheet from a newer version to the old one and set the parameters accordingly.
The inverse is however possible. To get the old (classic) style in a new version of matplotlib should be possible via
import matplotlib.pyplot as plt
plt.style.use("classic")
answered Nov 16 '18 at 13:19
ImportanceOfBeingErnestImportanceOfBeingErnest
141k13166243
The upper plot is produced with a version of matplotlib >= 2.0. The lower plot is produced with a version < 2.0. The style changes are documented in the Changes to the default style.
It's hardly possible to make a matplotlib version < 2.0 produce the exact output you'd get with matplotlib >= 2.0, although you might copy the style sheet from a newer version to the old one and set the parameters accordingly.
The inverse is however possible. To get the old (classic) style in a new version of matplotlib should be possible via
import matplotlib.pyplot as plt
plt.style.use("classic")
answered Nov 16 '18 at 13:19
ImportanceOfBeingErnestImportanceOfBeingErnest
141k13166243
answered Nov 16 '18 at 13:19
ImportanceOfBeingErnestImportanceOfBeingErnest
141k13166243
answered Nov 16 '18 at 13:19
ImportanceOfBeingErnestImportanceOfBeingErnest
141k13166243
answered Nov 16 '18 at 13:19
ImportanceOfBeingErnestImportanceOfBeingErnest
141k13166243
141k13166243
Works perfectly, thanks!
– Sito
Nov 16 '18 at 13:28
add a comment |
Works perfectly, thanks!
– Sito
Nov 16 '18 at 13:28
Works perfectly, thanks!
– Sito
Nov 16 '18 at 13:28
Works perfectly, thanks!
– Sito
Nov 16 '18 at 13:28
add a comment |
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It's to do with the backend that is used - it's different by default for Windows and Unix. matplotlib.org/faq/usage_faq.html#what-is-a-backend You can set it like this:
backend : WXAgg– Ben Jones
Nov 16 '18 at 13:05
1
You have two different versions of matplotlib installed on both systems. Check the version via
print(matplotlib.__version__). Obviously you can install the same version on all your computers and get the same output. I don't know which of the two plots you call "Ubuntu style", which would be important to know for alternative solutions.– ImportanceOfBeingErnest
Nov 16 '18 at 13:08
It has nothing to do with the backend though, as claimed by the other comment.
– ImportanceOfBeingErnest
Nov 16 '18 at 13:09
@ImportanceOfBeingErnest Thanks for the info, I edited the question. Would still be nice to know how I could change it to the other version withou having to install different versions.
– Sito
Nov 16 '18 at 13:11
Ah yes you're right @ImportanceOfBeingErnest
– Ben Jones
Nov 16 '18 at 13:27