11
22| Version | Docs | Status |
33| :--- | :--- | :--- |
4- | [ ![ PyPi Version] ( https://img.shields.io/pypi/v/pynastran.svg )] ( https://pypi.python.org/pypi/pyNastran ) | [ docs] ( http ://pynastran.m4-engineering.com/1.1.0 /) | [ ![ Build Status] ( https://img.shields.io/travis/SteveDoyle2/pyNastran/v1.1. svg )] ( https://travis-ci.org/SteveDoyle2/pyNastran ) [ ![ Coverage Status] ( https://img.shields.io/coveralls/SteveDoyle2/pyNastran/v1.1. svg )] ( https://coveralls.io/github/SteveDoyle2/pyNastran?branch=v1.1 ) |
4+ | [ ![ PyPi Version] ( https://img.shields.io/pypi/v/pynastran.svg )] ( https://pypi.python.org/pypi/pyNastran ) | [ docs] ( https ://pynastran-git.readthedocs.io/en/1.2 /) | [ ![ Build Status] ( https://img.shields.io/travis/SteveDoyle2/pyNastran/1.2. svg )] ( https://travis-ci.org/SteveDoyle2/pyNastran ) [ ![ Coverage Status] ( https://img.shields.io/coveralls/SteveDoyle2/pyNastran/1.2. svg )] ( https://coveralls.io/github/SteveDoyle2/pyNastran?branch=1.2 ) |
55| Master | [ ![ Documentation Status] ( https://readthedocs.org/projects/pynastran-git/badge/?version=latest )] ( http://pynastran-git.readthedocs.io/en/latest/?badge=latest ) | [ ![ Linux Status] ( https://img.shields.io/travis/SteveDoyle2/pyNastran/master.svg )] ( https://travis-ci.org/SteveDoyle2/pyNastran ) ![ Coverage Status] ( https://coveralls.io/repos/github/SteveDoyle2/pyNastran/badge.svg?branch=master ) |
66
77
88
99<!-- -
1010[](https://ci.appveyor.com/project/SteveDoyle2/pynastran)
11-
1211[](https://codecov.io/gh/SteveDoyle2/pyNastran)
13-
1412[](https://coveralls.io/github/SteveDoyle2/pyNastran?branch=master)
1513--->
1614
1715<!-- -
18-
1916[](https://ci.appveyor.com/project/SteveDoyle2/pynastran/branch/master)
20-
2117[](https://ci.appveyor.com/project/SteveDoyle2/pynastran)
22-
2318[](https://travis-ci.org/SteveDoyle2/pyNastran)
2419[](https://coveralls.io/github/SteveDoyle2/pyNastran?branch=master)
2520[](https://requires.io/github/SteveDoyle2/pyNastran/requirements/?branch=master) |
2621--->
2722
28- ### v1.1 .0
23+ ### v1.2 .0
2924
30- [ Download GUI] ( https://sourceforge.net/projects/pynastran/files/?source=navbar ) (latest is from 2018/6/26)
31-
32- <!-- -
33- [Doumentation](http://pynastran-git.readthedocs.org/en/latest/index.html)
34- --->
25+ [ Download GUI] ( https://sourceforge.net/projects/pynastran/files/?source=navbar ) (latest is from 2019/5/21)
3526
3627Also, check out the:
3728 * [ Discussion forum] ( http://groups.google.com/group/pynastran-discuss ) (intended for questions about the latest release)
3829 * [ Developer forum] ( http://groups.google.com/group/pynastran-dev ) (intended for questions about the master branch)
39- * [ Docs] ( http ://pynastran.m4-engineering.com/1.1.0 /)
30+ * [ Docs] ( https ://pynastran-git.readthedocs.io/en/1.2 /)
4031
4132for more detailed information.
4233
43- <!-- - this isn't setup... -->
44- <!-- - http://stevedoyle2.github.io/pyNastran/ --->
45-
4634# Overview
4735
48- pyNastran is an interface library to the various Nastran file formats (BDF, OP2, OP4). Using the BDF interface, you can read/edit/write Nastran geometry without worrying about field formatting. Many checks are also performed to verify that your model is correct. Using the OP2 interface, you can read very large result files very quckly and very efficiently. Additionally, you can also extract a subset of the result data and write OP2/F06 result files.
36+ pyNastran is an interface library to the various Nastran file formats (BDF, OP2, OP4).
37+ Using the BDF interface, you can read/edit/write Nastran geometry without worrying about
38+ field formatting. Many checks are also performed to verify that your model is correct.
39+ Using the OP2 interface, you can read large result files quckly and efficiently.
40+ Additionally, you can also extract a subset of the result data and write OP2/F06 result
41+ files. For a more detailed list of features, see:
42+ * [ Features] ( https://pynastran-git.readthedocs.io/en/1.2/quick_start/features.html#overview )
4943
50- Using the pyNastran GUI, you can read in Nastran models and quickly view results for a model. While it's no FEMAP/Patran, it can replace many tasks that would otherwise require a commercial program.
44+ Using the pyNastran GUI, you can read in Nastran models and quickly view results for a model.
45+ While it's no FEMAP/Patran, it can replace many tasks that would otherwise require a
46+ commercial program.
5147
5248![ GUI] ( https://github.com/SteveDoyle2/pynastran/blob/master/pyNastran/gui/images/caero.png )
5349
5450
55- <!-- - Ripped off meshio --->
56- <!-- - [](https://travis-ci.org/SteveDoyle2/pyNastran) --->
57- <!-- - [](https://codecov.io/github/SteveDoyle2/pyNastran?branch=master) --->
58-
59- <!-- - ## pyNastran v0.8.0 has NOT been released (8/21/2016) --->
60- <!-- - [Download pyNastran v0.8] (https://github.com/SteveDoyle2/pyNastran/releases) --->
61-
62-
6351# News
6452
6553### pyNastran v1.2.0 has been released (2019/5/21)
@@ -157,16 +145,15 @@ GUI:
157145
158146
159147Known issues:
160- - Transient Pandas Dataframes will fail for newer versions of numpy/ pandas. If anyone knows how to use a MultiIndex,
161- this is probably pretty easy to fix.
148+ - Transient Pandas Dataframes will fail for newer versions of numpy/ pandas.
149+ If anyone knows how to use a MultiIndex, this is probably pretty easy to fix.
162150
163151
164152# ## pyNastran v1.1.0 has been released (2018/6/26)
165153
166154| Version | Docs | Status |
167155| :-- - | :-- - | :-- - |
168156| [](https:// pypi.python.org/ pypi/ pyNastran) | [docs](http:// pynastran.m4- engineering.com/ 1.1 .0/ ) | [](https:// travis- ci.org/ SteveDoyle2/ pyNastran) [](https:// coveralls.io/ github/ SteveDoyle2/ pyNastran? branch = v1.1) |
169- | Master | [](http:// pynastran- git.readthedocs.io/ en/ latest/ ? badge = latest) | [](https:// travis- ci.org/ SteveDoyle2/ pyNastran)  |
170157
171158It' s been roughly a year and ~100 tickets closed since the last version, so it' s probably
172159time for another release! I want to thank everybody who helped with this release, especially
229216 - better PSHELL / PCOMP distinction
230217
231218Known issues:
232- - Transient Pandas Dataframes will fail for newer versions of numpy/ pandas. If anyone knows how to use a MultiIndex,
233- this is probably pretty easy to fix.
219+ - Transient Pandas Dataframes will fail for newer versions of numpy/ pandas.
220+ If anyone knows how to use a MultiIndex, this is probably pretty easy to fix.
234221
235222# ## pyNastran v1.0.0 has been released (2017/5/25)
236223
@@ -244,13 +231,8 @@ See [v1.0.0](https://github.com/SteveDoyle2/pyNastran/releases/tag/v1.0.0) for i
244231| [v0.8.0](https:// github.com/ SteveDoyle2/ pyNastran/ releases/ tag/ v0.8.0) | [](http:// pynastran- git.readthedocs.io/ en/ v0.8.0/ ? badge = v0.8.0) |
245232
246233< !-- -
247-
248234[](https:// ci.appveyor.com/ project/ SteveDoyle2/ pynastran/ branch/ master)
249-
250235[](https:// ci.appveyor.com/ project/ SteveDoyle2/ pynastran)
251-
252- [](https:// travis- ci.org/ SteveDoyle2/ pyNastran)
253- [](https:// requires.io/ github/ SteveDoyle2/ pyNastran/ requirements/ ? branch = master) |
254236-- ->
255237
256238See [v0.8.0](https:// github.com/ SteveDoyle2/ pyNastran/ releases/ tag/ v0.8.0) for information regarding enhancements.
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