hapiclient 0.1.5

Heliophysics API

HAPI client for Python 2/3

Installation

pip install hapiclient --upgrade
# or
pip install 'git+https://github.com/hapi-server/client-python' --upgrade

See the Appendix for a fail-safe installation method.

Basic Example

# Get and plot Dst index from CDAWeb HAPI server
from hapiclient import hapi
from hapiclient import hapiplot

server     = 'https://cdaweb.gsfc.nasa.gov/hapi'
dataset    = 'OMNI2_H0_MRG1HR'
start      = '2003-09-01T00:00:00'
stop       = '2003-12-01T00:00:00'
parameters = 'DST1800'
opts       = {'logging': True}

# Get data
data, meta = hapi(server, dataset, parameters, start, stop, **opts)
# Show documentation
#help(hapi)

# Plot all parameters
hapiplot(data, meta)
# Show documentation
#help(hapiplot)

Documentation

Basic usage examples for various HAPI servers are given in hapi_demo.py

All of the features are extensively demonstrated in the hapi_demo.ipynb Jupyter Notebook.

Development

git clone https://github.com/hapi-server/client-python
cd client-python; python setup.py develop

(The command python setup.py develop creates symlinks so that the local package is used instead of an installed package. You may need to execute pip uninstall hapiclient first to ensure the local package is used.)

To run tests before a commit, execute

make repository-test

To run an individual unit test in a Python session, use, e.g.,

from hapiclient.test.test_hapi import test_reader_short
test_reader_short()

Contact

Submit bug reports and feature requests on the repository issue tracker.

Appendix

Fail-safe installation

Python command line:

import os
print(os.popen("pip install hapiclient").read())

The above executes and displays the output of the operating system command pip install hapiclient using the shell environment associated with that installation of Python.

This method addresses a problem that is sometimes encountered when attempting to use pip packages in Anaconda. To use a pip package in Anaconda, one must use the version of pip installed with Anaconda (it is usually under a subdirectory with the name anaconda/) as opposed to the one installed with the operating system. To see the location of pip used in a given Python session, enter print(os.popen("which pip").read()).