def sscweb():
from hapiclient.hapi import hapi
from hapiclient.hapiplot import hapiplot
# SSCWeb data
server = 'http://hapi-server.org/servers/SSCWeb/hapi'
dataset = 'ace'
start = '2001-01-01T05:00:00'
stop = '2001-01-01T10:00:00'
parameters = 'X_GSE,Y_GSE,Z_GSE'
opts = {'logging': True, 'usecache': True}
data, meta = hapi(server, dataset, parameters, start, stop, **opts)
hapiplot(data, meta, **opts)
def cassini():
from hapiclient import hapi
from hapiclient import hapiplot
server = 'http://datashop.elasticbeanstalk.com/hapi'
dataset = 'CHEMS_PHA_BOX_FLUXES_FULL_TIME_RES'
parameters = 'HPlus_BEST_T1'
start = '2004-07-01T04:00:00Z'
stop = '2004-07-01T06:00:00Z'
opts = {'usecache': True}
data, meta = hapi(server, dataset, parameters, start, stop, **opts)
popts = {'logging': False, 'logy': True, 'logz': True}
hapiplot(data, meta, **popts)
def omniweb():
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, 'usecache': False}
# Get data
data, meta = hapi(server, dataset, parameters, start, stop, **opts)
# Plot all parameters
hapiplot(data, meta)
def cdaweb():
from hapiclient.hapi import hapi
from hapiclient.hapiplot import hapiplot
# CDAWeb data - Magnitude and BGSEc from dataset AC_H0_MFI
server = 'https://cdaweb.gsfc.nasa.gov/hapi'
dataset = 'AC_H0_MFI'
start = '2001-01-01T05:00:00'
stop = '2001-01-01T10:00:00'
parameters = 'Magnitude,BGSEc'
opts = {'logging': True, 'usecache': True}
data, meta = hapi(server, dataset, parameters, start, stop, **opts)
hapiplot(data, meta, **opts)
# CDAWeb metadata for AC_H0_MFI
server = 'https://cdaweb.gsfc.nasa.gov/hapi'
dataset = 'AC_H0_MFI'
meta = hapi(server, dataset, **opts)
print('Parameters in %s' % dataset)
for i in range(0, len(meta['parameters'])):
print(' %s' % meta['parameters'][i]['name'])
print('')
# CDAWeb metadata for all datasets
server = 'https://cdaweb.gsfc.nasa.gov/hapi'
meta = hapi(server, **opts)
print('%d CDAWeb datasets' % len(meta['catalog']))
for i in range(0, 3):
print(' %d. %s' % (i, meta['catalog'][i]['id']))
print(' ...')
print(' %d. %s' % (len(meta['catalog']), meta['catalog'][-1]['id']))
print('')
# List all servers
servers = hapi(logging=True) # servers is an array of URLs
print('')
# Install latest hapiclient package from https://pypi.org/project/hapiclient/
# Only needs to be executed once.
import os; print(os.popen('pip install hapiclient --upgrade').read())
from hapiclient import hapi, hapiplot
server = 'SERVER';
dataset = 'DATASET';
# Notes:
# 1. Use parameters='' to request all parameters from DATASET.
# 2. Multiple parameters can be requested using a comma-separated
# listCSV_EXAMPLE
parameters = 'PARAMETERS';
start = 'START';
stop = 'STOP';
data, meta = hapi(server, dataset, parameters, start, stop)
hapiplot(data, meta)
# Notes:
# 1. To convert the ISO 8601 strings in data['TIMENAME'] to Python
# datetimes, use
# from hapiclient import hapitime2datetime
# Time = hapitime2datetime(data['TIMENAME'])
# 2. Details about the data and metadata structures `data`
# and `meta` are given at
# https://github.com/hapi-server/client-python-notebooks/blob/master/hapi_demo.ipynb
# 3. Many examples for using `data` and `meta` with other
# Python libraries (e.g., Pandas, Numpy, Astropy) are given
# in above-referenced notebook.
for tn in tests:
if tn == 0:
# GUI plot of timeseries and spectra
from hapiclient import hapi
from hapiclient import hapiplot
server = 'http://hapi-server.org/servers/TestData2.0/hapi'
dataset = 'dataset1'
parameters = 'scalar,spectra'
start = '1970-01-01Z'
stop = '1970-01-01T00:00:11Z'
opts = {'logging': True, 'usecache': False}
data, meta = hapi(server, dataset, parameters, start, stop, **opts)
meta = hapiplot(data, meta, **opts)
if tn == 1 or tn == 2:
# Compare png with GUI plot
import io
from PIL import Image
from hapiclient import hapi
from hapiclient import hapiplot
server = 'http://hapi-server.org/servers/TestData2.0/hapi'
dataset = 'dataset1'
start = '1970-01-01Z'
stop = '1970-01-01T00:00:11Z'
parameters = 'scalar'
opts = {'logging': False, 'usecache': False}
from hapiclient import hapi
from hapiclient import hapiplot
# CDAWeb data - Magnitude and BGSEc from dataset AC_H0_MFI
server = 'https://cdaweb.gsfc.nasa.gov/hapi'
dataset = 'AC_H0_MFI'
start = '1997-12-10T00:00:00'
stop = '1997-12-11T10:00:00'
parameters = 'Magnitude,BGSEc'
opts = {'logging': True, 'usecache': True}
data, meta = hapi(server, dataset, parameters, start, stop, **opts)
hapiplot(data, meta, **opts)
opts['returnimage'] = True
meta = hapiplot(data, meta, **opts)
fig = meta['parameters'][1]['hapiplot']['figure']