def test_2_1():
# All TestData2.1 parameters
server = 'http://hapi-server.org/servers-dev/TestData2.1/hapi'
dataset = 'dataset1'
start = '1970-01-01Z'
stop = '1970-01-01T00:00:11Z'
opts = {'logging': logging, 'usecache': False}
meta = hapi(server, dataset, **opts)
for i in range(0, len(meta['parameters'])):
parameter = meta['parameters'][i]['name']
data, metax = hapi(server, dataset, parameter, start, stop, **opts)
if False and i > 0: # Time parameter alone when i = 0. No fill allowed for time parameter.
# Change fill value to be same as second element of parameter array.
metax["parameters"][1]['fill'] = data[parameter].take(1).astype(
'U')
popts = {
'useimagecache': False,
'logging': logging,
'returnimage': returnimage
}
if parameter == 'matrix':
# The string
# '$\Delta T_{xy}=1$'
# causes the error
# Unknown symbol: \Delta, found '\' (at char 0), (line:1, col:1)
# only when FigCanvasAgg is the back-end an using Matplotlib 3.2.2 and 3.4.2
# The string
# '$\Delta$ $T_{xy}=1$'
# does not cause an error. Seems to be a bug in Matplotlib.
metax['parameters'][1]['label'][0][1] = r'$\Delta$ $T_{xy}=1$'
metap = hapiplot(data, metax, **popts)
if returnimage == False:
continue
idx = 1
if i == 0: # Time parameter
idx = 0
img2 = metap['parameters'][idx]['hapiplot']['image']
dir_path = os.path.dirname(os.path.realpath(__file__))
ref_file = os.path.join(dir_path, "imgs", "2.1",
parameter + ".ref.png")
imgcheck(ref_file, img2, show_diff=False, generate_ref_files=False)
def test_saveimage():
# Returned image should be same when saveimage is True or False
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': True}
data, meta = hapi(server, dataset, parameters, start, stop, **opts)
popts = {
'usecache': True,
'useimagecache': False,
'logging': True,
'saveimage': False,
'returnimage': True
}
meta = hapiplot(data, meta, **popts)
img1 = meta['parameters'][1]['hapiplot']['image']
#Image.open(io.BytesIO(img1)).show()
popts['saveimage'] = True
meta = hapiplot(data, meta, **popts)
img2 = meta['parameters'][1]['hapiplot']['image']
#Image.open(io.BytesIO(img1)).show()
if img1 != img2:
print('Images do not match')
return False
return True
def test_2_0():
# All TestData2.0 parameters
server = 'http://hapi-server.org/servers/TestData2.0/hapi'
dataset = 'dataset1'
start = '1970-01-01Z'
stop = '1970-01-01T00:00:11Z'
opts = {'logging': logging, 'usecache': False}
meta = hapi(server, dataset, **opts)
for i in range(0, len(meta['parameters'])):
parameter = meta['parameters'][i]['name']
data, metax = hapi(server, dataset, parameter, start, stop, **opts)
if False and i > 0: # Time parameter alone when i = 0. No fill allowed for time parameter.
# Change fill value to be same as second element of parameter array.
metax["parameters"][1]['fill'] = data[parameter].take(1).astype(
'U')
popts = {
'useimagecache': False,
'logging': logging,
'returnimage': True
}
metap = hapiplot(data, metax, **popts)
idx = 1
if i == 0: # Time parameter
idx = 0
img2 = metap['parameters'][idx]['hapiplot']['image']
dir_path = os.path.dirname(os.path.realpath(__file__))
ref_file = os.path.join(dir_path, "imgs", "2.0",
parameter + ".ref.png")
imgcheck(ref_file, img2, show_diff=False, generate_ref_files=False)
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 lisird():
from hapiclient import hapi
from hapiplot import hapiplot
server = 'http://lasp.colorado.edu/lisird/hapi'
dataset = 'sme_ssi'
parameters = 'irradiance'
start = '1981-10-09T00:00:00.000Z'
stop = '1981-10-14T00:00:00.000Z'
opts = {'usecache': True, 'logging': True}
data, meta = hapi(server, dataset, parameters, start, stop, **opts)
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('')
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)
from hapiclient import hapi
from hapiplot import hapiplot
if True:
server = 'http://hapi-server.org/servers-dev/TestData2.1/hapi'
dataset = 'dataset1'
parameter = 'matrix'
start = '1970-01-01Z'
stop = '1970-01-01T00:00:11Z'
opts = {'logging': True, 'usecache': False}
data, meta = hapi(server, dataset, parameter, start, stop, **opts)
popts = {'logging': True, 'returnimage': True, 'usecache': False}
hapiplot(data, meta, **popts)
if False:
server = 'http://hapi-server.org/servers/SSCWeb/hapi'
dataset = 'rbspa'
start = '2012-08-31T00:00:00.000Z'
stop = '2012-08-31T23:59:59.999Z'
parameters = 'Time'
opts = {'logging': True, 'usecache': True}
data, meta = hapi(server, dataset, parameters, start, stop, **opts)
hapiplot(data, meta, **opts)
if False:
# 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'
# 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.