First: download and install 64 bit Anaconda
We recommend that you install a complete scientific Python distribution like 64 bit Anaconda . Since it meets all the requirements of nilearn, it will save you time and trouble. You could also check PythonXY as an alternative.
Nilearn requires a Python installation and the following dependencies: ipython, scikit-learn, matplotlib and nibabel.
Second: open a Command Prompt
(Press "Win-R", type "cmd" and press "Enter". This will open
the program cmd.exe, which is the command prompt)
Then type the following line and press "Enter"
pip install -U --user nilearn
Third: open IPython
(You can open it by writing "ipython" in the command prompt
and pressing "Enter")
Then type in the following line and press "Enter":
In [1]: import nilearn
If no error occurs, you have installed nilearn correctly.
First: download and install 64 bit Anaconda
We recommend that you install a complete scientific Python distribution like 64 bit Anaconda. Since it meets all the requirements of nilearn, it will save you time and trouble.
Nilearn requires a Python installation and the following dependencies: ipython, scikit-learn, matplotlib and nibabel.
Second: open a Terminal
(Navigate to /Applications/Utilities and double-click on
Terminal)
Then type the following line and press "Enter"
pip install -U --user nilearn
Third: open IPython
(You can open it by writing "ipython" in the terminal and
pressing "Enter")
Then type in the following line and press "Enter":
In [1]: import nilearn
If no error occurs, you have installed nilearn correctly.
If you are using Ubuntu or Debian and you have access to Neurodebian, then simply install the python-nilearn package through Neurodebian.
First: Install dependencies
Install or ask your system administrator to install the following packages using the distribution package manager: ipython , scikit-learn (sometimes called sklearn, or python-sklearn), matplotlib (sometimes called python-matplotlib) and nibabel (sometimes called python-nibabel).
If you do not have access to the package manager we recommend that you install a complete scientific Python distribution like 64 bit Anaconda. Since it meets all the requirements of nilearn, it will save you time and trouble.
Second: open a Terminal
(Press ctrl+alt+t and a Terminal console will pop up)
Then type the following line and press "Enter"
pip install -U --user nilearn
Third: open IPython
(You can open it by writing "ipython" in the terminal and
pressing "Enter")
Then type in the following line and press "Enter":
In [1]: import nilearn
If no error occurs, you have installed nilearn correctly.
To Install the development version:
Use git as an alternative to using pip, to get the latest nilearn version
Simply run the following command (as a shell command, not a Python command):
git clone https://github.com/nilearn/nilearn.git
In the future, you can readily update your copy of nilearn by executing “git pull” in the nilearn root directory (as a shell command).
If you really do not want to use git, you may still download the latest development snapshot from the following link (unziping required): https://github.com/nilearn/nilearn/archive/master.zip
Install in the nilearn directory created by the previous steps, run (again, as a shell command):
python setup.py develop --user
Now to test everything is set up correctly, open IPython and type in the following line:
In [1]: import nilearn
If no error occurs, you have installed nilearn correctly.