Installation
PODPAC is available for Windows, Mac, and Linux.
Select the installation method the best suits your development environment:
pip: Recommended for most users
Docker: For use in containers
Install from source: For development
Windows Standalone distribution: Includes Python and all dependencies
Install with pip
Requirements
Confirm you have the required dependencies installed on your computer:
Python (3.6 or later) — Anaconda Python Distribution recommended
Environment
If using Anaconda Python (recommended for Windows), create a PODPAC dedicated Anconda environment:
# create environment
$ conda create -n podpac python=3
# activate environment
$ conda activate podpac
If using a non-Anaconda Python distribution, create a PODPAC dedicated virtual environment:
# create environment in <DIR> using virtualenv
$ python3 -m venv <DIR>
# activate environment
$ source <DIR>/bin/activate
# Create environment named `podpac` using pyenv
$ pyenv virtualenv 3.8.6 podpac
$ pyenv activate podpac
Install
Windows Pre-Installation Instructions with Anaconda
Some packages are simpler to install through conda
compared to pip
on Windows. NOTE: These
instructions tend to change based on the specific version of conda
. Substituting which packages
are installed from conda-forge
vs the default
conda
channel can usually result in a
functional installation.
For a full PODPAC installation pre-install the
following packages in a clean conda
environment:
# Install core dependencies
> conda install matplotlib>=2.1 numpy>=1.14 scipy>=1.0 traitlets>=4.3 xarray>=0.10 ipython psutil requests>=2.18 owslib beautifulsoup4>=4.6 h5py>=2.9 lxml>=4.2 zarr>=2.3 intake>=0.5 boto3>=1.4 s3fs>=0.2 numexpr>=2.6 jupyterlab ipywidgets nodejs
> conda install pyproj>=2.2 rasterio>=1.0 ipympl ipyleaflet -c conda-forge
# Set up jupyter lab extensions
> jupyter labextension install @jupyter-widgets/jupyterlab-manager
> jupyter labextension install jupyter-leaflet
> jupyter labextension install jupyter-matplotlib
> jupyter nbextension enable --py widgetsnbextension
> jupyter lab build
# clean conda environment (optional)
> conda clean -a -y
All Operating systems
After activating the environment, install using pip
with one of the following commands:
$ pip install podpac # base installation
$ pip install podpac[datatype] # install podpac and optional data handling dependencies
$ pip install podpac[notebook] # install podpac and optional notebook dependencies
$ pip install podpac[aws] # install podpac and optional aws dependencies
$ pip install podpac[algorithm] # install podpac and optional algorithm dependencies
$ pip install podpac[all] # install podpac and all optional dependencies
See Optional Dependencies more information on optional PODPAC dependencies.
Docker
This guide assumes you have a working installation of Docker on your computer or server.
Once you have Docker installed, the following steps will allow you to run PODPAC within an interactive Docker shell:
Download the PODPAC Dockerfile from the repository
From the directory where you downloaded the
Dockerfile
, run:
# build the docker image with the tag `podpac`
$ docker build -t podpac .
Run the built image
# run the docker image in an interactive shell
$ docker run -i -t podpac
Standalone Windows Distribution
Windows 10
The Window 10 standalone distribution requires no pre-installed operating system or external dependencies.
Download the latest Window 10 standalone distribution
https://s3.amazonaws.com/podpac-s3/releases/PODPAC_latest_install_windows10.zip
For older versions, substitute
latest
in the url with the version number, i.e.PODPAC_1.2.0_install_windows10.zip
Once downloaded, extract the zip file into a folder on your machine.
We recommend expanding it near the root of your drive (e.g.
C:\PODPAC
) due to long file paths that are part of the installation.
Once the folder is unzipped:
To run an IPython session:
Open a Windows command prompt in this directory
Run the
run_ipython.bat
script
To open the example Jupyter notebooks:
Double click the file
run_podpac_jupyterlab.bat
This will open up a Windows command prompt, and launch a JupyterLab notebook in your default web browser
To close the notebook, close the browser tab, and close the Windows console
To make this standalone distribution, see the deploy notes.
Install from Source
Requirements
Confirm you have the required dependencies installed on your computer:
Python (3.6 or later)
We recommend the Anaconda Python Distribution
Environment
If using Anaconda Python, create a PODPAC dedicated Anconda environment:
# create environment with all `anaconda` packages
$ conda create -n podpac python=3 anaconda
# activate environment
$ conda activate podpac
If using a non-Anaconda Python distribution, create a PODPAC dedicated virtual environment:
# create environment in <DIR>
$ python3 -m venv <DIR>
# activate environment
$ source <DIR>/bin/activate
Install
After activating the virtual environment, clone the podpac repository onto your machine:
$ cd <install-path>
$ git clone https://github.com/creare-com/podpac.git
$ cd podpac
By default, PODPAC clones to the master
branch, which is the latest stable release.
To use a previous release, checkout the tags/<version>
reference.
For bleeding edge, checkout the develop
branch.
$ git fetch origin # fetch all remote branches
$ git checkout -b release/<version> tags/<version> # checkout specific release
$ git checkout -b develop origin/develop # latest stable version
From the root of the git repository, install using pip
with one of the following commands:
$ pip install -e . # base installation
$ pip install -e .[datatype] # install podpac and optional data handling dependencies
$ pip install -e .[notebook] # install podpac and optional notebook dependencies
$ pip install -e .[aws] # install podpac and optional aws dependencies
$ pip install -e .[algorithm] # install podpac and optional algorithm dependencies
$ pip install -e .[all] # install podpac and all optional dependencies
See Optional Dependencies more information on optional PODPAC dependencies.
To install PODPAC and keep installation up to date with local changes, use the option -e
when installing:
$ pip install -e . # install podpac with only core dependencies
$ pip install -e .[devall] # install podpac and all optional dependencies
Common Issues
Rasterio
Some users may experience issues installing rasterio (included in the datatype
and all
installations).
If you encounter issues, we recommend trying to install rasterio into your active Python environment, then re-installing podpac
.
UnicodeDecodeError
UnicodeDecodeError: 'ascii' codec can't decode byte 0xe2 in position 13: ordinal not in range(128)*
Some linux users may encounter this when using Ubuntu and Python 3.6. See this stack overflow answer for a solution.
Python.h
psutil/_psutil_common.c:9:10: fatal error: Python.h: No such file or directory
#include <Python.h>
^~~~~~~~~~
compilation terminated.
error: command 'x86_64-linux-gnu-gcc' failed with exit status 1
You are missing the python-dev
header and static files.
See this stack overflow answer for the appropriate solution.