From 80ba1d530cd7910f26448e0bb53ad8980ee409a8 Mon Sep 17 00:00:00 2001 From: Caden Myers <cjm2304@columbia.edu> Date: Mon, 11 Nov 2024 12:38:45 -0500 Subject: [PATCH 1/3] fix long description formatting --- README.rst | 15 +++++++++------ 1 file changed, 9 insertions(+), 6 deletions(-) diff --git a/README.rst b/README.rst index cfd2382..18f4abe 100644 --- a/README.rst +++ b/README.rst @@ -38,12 +38,15 @@ Tool for visualizing 3D diffraction and PDF Images. * Diffpy.fourigui is a tool to visualize and process 3D data sets written with the Python programming language. -Diffpy.fourigui always displays one slice perpendicular to one axis and allows scrolling through the 3D data set along -the given axis with a slider. It shows feedback values such as global and local maxima, minima or NAN ratios. -The matplotlib panel e.g. for zooming and saving figures is featured. Diffpy.fourigui is designed for the processing of 3D -atomic pair distribution functions (PDFs). One can load a 3D reciprocal space scattering volume which can be Fourier -transformed to the 3D PDF. Thereby, one can apply cut off frequencies beyond and below given Q values, compare the -results and switch between the scattering volume in reciprocal space and 3D PDF in real space. + + Diffpy.fourigui always displays one slice perpendicular to one axis and allows scrolling through the 3D data set along + the given axis with a slider. It shows feedback values such as global and local maxima, minima, or NAN ratios. The + matplotlib panel, e.g., for zooming and saving figures, is featured. + + Diffpy.fourigui is designed for the processing of 3D atomic pair distribution functions (PDFs). One can load a 3D + reciprocal space scattering volume which can be Fourier transformed to the 3D PDF. Thereby, one can apply cut-off + frequencies beyond and below given Q values, compare the results, and switch between the scattering volume in reciprocal + space and the 3D PDF in real space. For more information about the diffpy.fourigui library, please consult our `online documentation <https://diffpy.github.io/diffpy.fourigui>`_. From 0347dcff185b9bd18e73032c0116596e2d3bb3b7 Mon Sep 17 00:00:00 2001 From: Caden Myers <cjm2304@columbia.edu> Date: Mon, 11 Nov 2024 12:42:13 -0500 Subject: [PATCH 2/3] remove bullet --- README.rst | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/README.rst b/README.rst index 18f4abe..0abe11a 100644 --- a/README.rst +++ b/README.rst @@ -37,16 +37,16 @@ Tool for visualizing 3D diffraction and PDF Images. -* Diffpy.fourigui is a tool to visualize and process 3D data sets written with the Python programming language. +Diffpy.fourigui is a tool to visualize and process 3D data sets written with the Python programming language. - Diffpy.fourigui always displays one slice perpendicular to one axis and allows scrolling through the 3D data set along - the given axis with a slider. It shows feedback values such as global and local maxima, minima, or NAN ratios. The - matplotlib panel, e.g., for zooming and saving figures, is featured. +Diffpy.fourigui always displays one slice perpendicular to one axis and allows scrolling through the 3D data set along +the given axis with a slider. It shows feedback values such as global and local maxima, minima, or NAN ratios. The +matplotlib panel, e.g., for zooming and saving figures, is featured. - Diffpy.fourigui is designed for the processing of 3D atomic pair distribution functions (PDFs). One can load a 3D - reciprocal space scattering volume which can be Fourier transformed to the 3D PDF. Thereby, one can apply cut-off - frequencies beyond and below given Q values, compare the results, and switch between the scattering volume in reciprocal - space and the 3D PDF in real space. +Diffpy.fourigui is designed for the processing of 3D atomic pair distribution functions (PDFs). One can load a 3D +reciprocal space scattering volume which can be Fourier transformed to the 3D PDF. Thereby, one can apply cut-off +frequencies beyond and below given Q values, compare the results, and switch between the scattering volume in reciprocal +space and the 3D PDF in real space. For more information about the diffpy.fourigui library, please consult our `online documentation <https://diffpy.github.io/diffpy.fourigui>`_. From e3da6daf191b5e43ece6d28c27819882c472691a Mon Sep 17 00:00:00 2001 From: Caden Myers <cjm2304@columbia.edu> Date: Mon, 11 Nov 2024 12:44:21 -0500 Subject: [PATCH 3/3] minor fix --- README.rst | 13 +++++-------- 1 file changed, 5 insertions(+), 8 deletions(-) diff --git a/README.rst b/README.rst index 0abe11a..9d87dee 100644 --- a/README.rst +++ b/README.rst @@ -38,15 +38,12 @@ Tool for visualizing 3D diffraction and PDF Images. Diffpy.fourigui is a tool to visualize and process 3D data sets written with the Python programming language. - Diffpy.fourigui always displays one slice perpendicular to one axis and allows scrolling through the 3D data set along -the given axis with a slider. It shows feedback values such as global and local maxima, minima, or NAN ratios. The -matplotlib panel, e.g., for zooming and saving figures, is featured. - -Diffpy.fourigui is designed for the processing of 3D atomic pair distribution functions (PDFs). One can load a 3D -reciprocal space scattering volume which can be Fourier transformed to the 3D PDF. Thereby, one can apply cut-off -frequencies beyond and below given Q values, compare the results, and switch between the scattering volume in reciprocal -space and the 3D PDF in real space. +the given axis with a slider. It shows feedback values such as global and local maxima, minima or NAN ratios. +The matplotlib panel e.g. for zooming and saving figures is featured. Diffpy.fourigui is designed for the processing of 3D +atomic pair distribution functions (PDFs). One can load a 3D reciprocal space scattering volume which can be Fourier +transformed to the 3D PDF. Thereby, one can apply cut off frequencies beyond and below given Q values, compare the +results and switch between the scattering volume in reciprocal space and 3D PDF in real space. For more information about the diffpy.fourigui library, please consult our `online documentation <https://diffpy.github.io/diffpy.fourigui>`_.