PODPAC examples are distributed as example Jupyter notebooks hosted in the creare-com/podpac-examples repository. Github will render most of these notebooks for you, showing the expected outputs.

See Supported Datasets for links to specific dataset examples in the repository.


Download Notebooks

$ git clone https://github.com/creare-com/podpac-examples.git

Run Jupyterlab

If using the provided standalone Window 10 Installation, run the run_podpac_jupyterlab.bat script by double-clicking its icon.

If using a different installation:

  • Make sure the optional notebook or all dependencies are installed

# via pip
$ pip install podpac[notebook]
$ pip install podpac[all]

# from source
$ pip install -e .[notebook]
$ pip install -e .[all]
  • Start a new JupyterLab session

$ cd <podpac-examples>
$ jupyter lab
  • Browse the example notebooks directory <podpac-examples>/notebooks/

  • Open a notebook that you want to run

  • From the JupyterLab menu, select Run --> Run All

    Note: Not all the examples will work due to authentication or private resources (with unpublished URLs) for development.

Simple Examples

Array of Data

import podpac

# mock data
data = np.random.rand(21, 21)
lat = podpac.clinspace(-10, 10, 21)
lon = podpac.clinspace(-10, 10, 21)

# create native coordinates for data
native_coords = podpac.Coordinates([lat, lon], ['lat', 'lon'])

# create node for data source
node = podpac.data.Array(source=data, native_coordinates=native_coords)

# Create coordinates to evaluate this node
c = podpac.Coordinates([5, 5], dims=['lat', 'lon'])

# Retrieve the datapoint from the array
o = node.eval(c)

SMAP Data Source

Note: This example uses our SMAP node, which requires a NASA Earth Data Account with OpenDAP access configured.

# import the library
import podpac

# Create a SMAP Node
n = podpac.datalib.smap.SMAP(username=<your_username>, password=<your_password>)

# Create coordinates to evaluate this node
c = podpac.Coordinates(['2018-01-01 12:00:00', 0, 0], dims=['time', 'lat', 'lon'])

# Retrieve the datapoint from NSIDC's OpenDAP server
o = n.eval(c)