Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

[DOC] Installation instruction update #1516

Merged
merged 1 commit into from May 11, 2018
Merged

[DOC] Installation instruction update #1516

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
18 changes: 7 additions & 11 deletions doc/installation.rst
View file
Open in desktop
Expand Up @@ -27,15 +27,11 @@ Using Anaconda:

On all platforms, you can use Anaconda_ to install DIPY. To do so issue the following command in a terminal::

conda install dipy -c conda-forge
conda install -c conda-forge dipy

Some of the visualization methods require the VTK_ library and this can be installed separately (for the time being only on Python 2.7 and Python 3.6)::

conda install -c conda-forge vtk

For OSX users, VTK_ is not available on conda-forge channel, so we recommend to use the following one::

conda install -c clinicalgraphics vtk
conda install vtk

Using packages:
===============
Expand Down Expand Up @@ -63,9 +59,9 @@ Windows

This should work with no error.

#. Some of the visualization methods require the VTK_ library and this can be installed using Anaconda_::
#. Some of the visualization methods require the VTK_ library and this can be installed by doing ::

conda install -c conda-forge vtk
pip install vtk


OSX
Expand All @@ -89,9 +85,9 @@ OSX

This should work with no error.

#. Some of the visualization methods require the VTK_ library and this can be installed using Anaconda_::
#. Some of the visualization methods require the VTK_ library and this can be installed by doing::

conda install -c clinicalgraphics vtk
pip install vtk

Linux
-----
Expand Down Expand Up @@ -166,7 +162,7 @@ DIPY can process large diffusion datasets. For this reason we recommend using a
Note on python versions
-----------------------

Most of the functionality in DIPY supports versions of Python from 2.6 to 3.5.
Most of the functionality in DIPY supports versions of Python from 2.6 to 3.6.
However, some visualization functionality depends on VTK_, which currently does not work with Python 3 versions.
Therefore, if you want to use the visualization functions in DIPY, please use it with Python 2.

Expand Down