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

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

See the Appendix for a fail-safe installation method.

# Get Dst index from CDAWeb HAPI server
from hapiclient import hapi

# See http://hapi-server.org/servers/ for a list of
# other HAPI servers and datasets.
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)
print(meta)
print(data)

# Plot all parameters
from hapiplot import hapi
hapiplot(data, meta)

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

See http://hapi-server.org/servers/ for a list of HAPI servers and datasets.

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

A request for data of the form ` data, meta = hapi(server, dataset, parameters, start, stop) `

returns the [Numpy N-D array](https://docs.scipy.org/doc/numpy-1.15.1/user/quickstart.html) data and a Python dictionary meta from a HAPI-compliant data server server. The structure of data and meta mirrors the structure of a response from a HAPI server.

The HAPI client data model is intentionally basic. There is an ongoing discussion of a data model for Heliophysics data among the PyHC community. When this data model is complete, a function that converts data and meta to that data model will be included in the hapiclient package.

Examples of transforming and manipulating data is given in a Jupyter Notebook. The examples include

# Fast and well-tested conversion from ISO 8601 timestamp strings to Python datetime objects # Putting the content of data in a Pandas DataFrame object # Creating an Astropy NDArray

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()

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

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()).