Open gisofer opened 4 years ago
Please fill in the following details as much as possible when submitting your issue as this will help with testing and reproducing the issue
use (print(MTfit.get_details_json())) in a python terminal (or MTfit --details from the command line) { "version": "1.0.5", "c_extensions present": [ "cprobability", "cmoment_tensor_conversion" ], "platform": "win32", "num_threads": 12, "python version": "3.7.3 (default, Mar 27 2019, 17:13:21) [MSC v.1915 64 bit (AMD64)]", "python version info": [ 3, 7, 3, "final", 0 ], "dependency info": { "numpy": "1.16.2", "scipy": "1.2.1", "matplotlib": "3.1.1", "cython": "0.29.6", "sphinx": "1.8.5", "h5py": "2.9.0" }, "windows version": [ 10, 0, 17134, 2, "" ] }
(print(MTfit.get_details_json()))
MTfit --details
two gridlines on hudson plot are off
all gridlines in their correct place
What do we need to do to reproduce the issue? MTfit.plot.MTplot(np.array([[1],[0],[-1],[0],[0],[0]]),'hudson',text=True)
Thanks @gisofer - will have a look - the hufson plot gridlines were correct last time I tested this, but there's been quite a few library bumps since then!
Please fill in the following details as much as possible when submitting your issue as this will help with testing and reproducing the issue
Environment Information
use
(print(MTfit.get_details_json()))
in a python terminal (orMTfit --details
from the command line) { "version": "1.0.5", "c_extensions present": [ "cprobability", "cmoment_tensor_conversion" ], "platform": "win32", "num_threads": 12, "python version": "3.7.3 (default, Mar 27 2019, 17:13:21) [MSC v.1915 64 bit (AMD64)]", "python version info": [ 3, 7, 3, "final", 0 ], "dependency info": { "numpy": "1.16.2", "scipy": "1.2.1", "matplotlib": "3.1.1", "cython": "0.29.6", "sphinx": "1.8.5", "h5py": "2.9.0" }, "windows version": [ 10, 0, 17134, 2, "" ] }What error you are getting
two gridlines on hudson plot are off
What behaviour you would expect
all gridlines in their correct place
Reproduction steps
What do we need to do to reproduce the issue? MTfit.plot.MTplot(np.array([[1],[0],[-1],[0],[0],[0]]),'hudson',text=True)