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Lydia's notes

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Jupyter Notebook Example Data User Module (source / doc) 

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from __future__ import division, print_function

# Reload user modules automatically
# %load_ext autoreload
# %autoreload 2

# notebook, inline, ...
%matplotlib notebook

from astropy.coordinates import SkyCoord
import astropy.units as u
import matplotlib.pyplot as plt
import numpy as np
import sunpy.map
from copy import deepcopy

# To use user modules
import sys
sys.path.append('../modules')

# print('Python version: %s' % sys.version.split('(')[0])  # Python version: 3.6.6 |Anaconda, Inc.|
# print('SunPy version: %s' % sunpy.__version__)  # SunPy version: 0.9.3
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Jupyter Notebook Example Data User Module (source / doc) 

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from __future__ import division, print_function

# Reload user modules automatically
# %load_ext autoreload
# %autoreload 2

# notebook, inline, ...
%matplotlib notebook

from astropy.coordinates import SkyCoord
import astropy.units as u
import matplotlib.pyplot as plt
import numpy as np
import sunpy.map
from copy import deepcopy

# To use user modules
import sys
sys.path.append('../modules')

# print('Python version: %s' % sys.version.split('(')[0])  # Python version: 3.6.6 |Anaconda, Inc.| 
# print('SunPy version: %s' % sunpy.__version__)  # SunPy version: 0.9.3
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Update:

Jupyter Notebook Example Data User Module (source / doc)

[ Tested ]

Ubuntu 16.04 LTS

Date Python Sunpy NumPy SciPy Matplotlib Astropy Pandas
2018-10-13 3.6.6 0.9.3 1.15.2 1.1.0 3.0.0 3.0.4 0.23.4
  • Add aiaprep_usr().
  • Change parameter list of plot_map(), plot_vmap(), proj_matrix().
  • Change return value of _get_image_params() from a tuple to a dict.
  • Adjust positions of colorbar & title.
  • Fix docs.

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Jupyter Notebook 

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import astropy.units as u
from sunpy.net import attrs, jsoc

# Suppress some warnings
import warnings
from astropy.utils.exceptions import AstropyDeprecationWarning
warnings.simplefilter("ignore", category=FutureWarning)
warnings.simplefilter("ignore", category=AstropyDeprecationWarning)
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# JSOC string: "aia.lev1_euv_12s[2014-10-26T10:00:00Z-2014-10-26T11:00:00Z@1m][193,304]{image}"
client = jsoc.JSOCClient()
response = client.search(
    attrs.jsoc.Time('2014-10-26T10:00:00', '2014-10-26T10:30:00'),
    attrs.jsoc.Notify('xxx@xxx'),  # email
    attrs.jsoc.Series('aia.lev1_euv_12s'),
    attrs.jsoc.Segment('image'),
    attrs.Sample(10. * u.min),  # interval
    attrs.jsoc.Wavelength(193 * u.AA) | attrs.jsoc.Wavelength(304 * u.AA)
)

response
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