Python 3.11.0 : The sunpy python package - part 002.

In the last article tutorial, I show some simple examples with the sunpy python package.

Today I installed it again with all of these python packages using the pip tool.

You don't need all of these if you just start, but in time you will need to install them:

pip install sunpy --user
Collecting sunpy
  Downloading sunpy-4.1.3.tar.gz (3.6 MB)
     ---------------------------------------- 3.6/3.6 MB 3.6 MB/s eta 0:00:00
     ...
     Successfully installed PyYAML-6.0 aioftp-0.21.4 astropy-5.2.1 pyerfa-2.0.0.1 sunpy-4.1.3
...
pip install zeep --user
Collecting zeep
  Using cached zeep-4.2.1-py3-none-any.whl (101 kB)  
  ...
  Successfully installed isodate-0.6.1 pytz-2022.7.1 requests-file-1.5.1 requests-toolbelt-0.10.1 zeep-4.2.1
  ...
pip install drms --user
Collecting drms
  Downloading drms-0.6.3-py3-none-any.whl (35 kB)
  ...
  Successfully installed drms-0.6.3 pandas-1.5.3
pip install hvpy --user
Collecting hvpy
  Downloading hvpy-1.0.1-py3-none-any.whl (44 kB)
     ---------------------------------------- 44.0/44.0 kB 359.5 kB/s eta 0:00:00
     ...
     Successfully installed hvpy-1.0.1
pip install scipy --user
Collecting scipy
  Downloading scipy-1.10.1-cp311-cp311-win_amd64.whl (42.2 MB)
     ---------------------------------------- 42.2/42.2 MB 7.4 MB/s eta 0:00:00
     ...
     Successfully installed scipy-1.10.1 
pip install glymur --user
Collecting glymur
  Downloading Glymur-0.12.2-py3-none-any.whl (2.7 MB)
     ---------------------------------------- 2.7/2.7 MB 4.2 MB/s eta 0:00:00
     ...
     Successfully installed glymur-0.12.2
     

Let's use the 1600 Angstrom from these all data of spectral range: 335 Angstrom, 131 Angstrom, 191-195 Angstrom, 211 Angstrom, 1600 Angstrom, 1700 Angstrom, 4500 Angstrom, 171-175 Angstrom, 304 Angstrom, 94 Angstrom

from datetime import datetime
from hvpy import createMovie, DataSource, create_events, create_layers
createMovie(
     startTime=datetime(2023, 2, 27),                    # start from 1st September 2022
     endTime=datetime(2023, 2, 28),                      # end at 5th September 2022
     layers=create_layers([(DataSource.AIA_1600, 100)]), # use AIA_193 Lens with 100% Opacity
     events=create_events(["CH"]),                      # show the Active regions
     eventsLabels=True,                                 # event labels should be included
     imageScale=1,                                      # Image scale in arcseconds per pixel
     hq=True,                                           # Download a higher-quality movie file
     timeout=10,                                        # Wait 10 minutes to get a response
     overwrite=True
)

The result is a video that looks like this :

There are easier ways to get information about the sun…

You can take one screenshot using the api.helioviewer.org feature in your browser.

https://api.helioviewer.org/v2/takeScreenshot/?imageScale=1&layers=[SDO,AIA,AIA,304,1,100]&events=&eventLabels=true&scale=true&scaleType=earth&scaleX=0&scaleY=0&date=2023-02-28T15:00:00.000Z&x1=-1100.0&x2=1100.0&y1=-1100.0&y2=1100.0&display=true&watermark=true&events=[CH,all,1]

You can find movies of the last two days of HMI magnetograms and intensitygrams on this webpage.

Python 3.7.9 : The sunpy python package - part 001.

In the past, I have written several small tutorials related to this Python package. Now I have some news related to the sunpy python package:

• HelioviewerClient is deprecated;
• The Helioviewer Project now maintains a Python Wrapper called hvpy.
• sunpy users are encouraged to upgrade parfive python package;
• the sunpy.database deprecation;
the sample data files provided through sunpy.data.sample are now downloaded individually on demand;
• SunPy is tested against Python 2.7, 3.5, and 3.6.;
• SunPy no longer supports Python 3.4.;
• easy to extract data values from a GenericMap along a curve specified by a set of coordinates using the new sunpy.map.extract_along_coord function;
• has a new make_heliographic_header() function that simplifies creating map headers that span the whole solar surface in Carrington or Stonyhurst coordinates;
• aiaprep is now deprecated;
• ... and more on the official website.

I install this python package on the Windows OS with the pip tool:

pip install "sunpy[all] -U"

You can install extra available options: [asdf], [dask], [database], [image], [jpeg2000], [map], [net], [timeseries], [visualization].

You can see the version of this python package with this source code:

 import sunpy
print(sunpy.__version__)
3.1.8

I tested this package with this simple source code:

from matplotlib import pyplot as plt
import sunpy.map
import sunpy.data.sample  
sunpyAIA = sunpy.map.Map(sunpy.data.sample.AIA_171_IMAGE) 
sunpyAIA.plot()
plt.colorbar()
plt.show()

The instrument is AIA and the measurement is 171, see more on this online tool named helioviewer.

After I run I got this image:

How I saw the Comet C/2012 S1 ISON with python .

I use sunpy python module to see the Comet C/2012 S1 ISON and SOHO LASCO C3 instrument.
This is the result:

The script is simple.

$ python
Python 2.7.3 (default, Jan  2 2013, 16:53:07) 
[GCC 4.7.2] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import sunpy
>>> from sunpy.net.helioviewer import HelioviewerClient
>>> 
>>> hv = HelioviewerClient()
>>> datasources = hv.get_data_sources()
>>> 
>>> # print a list of datasources and their associated ids
... for observatory, instruments in datasources.items():
...     for inst, detectors in instruments.items():
...         for det, measurements in detectors.items():
...             for meas, params in measurements.items():
...                 print("%s %s: %d" % (observatory, params['nickname'], params['sourceId']))
... 
Yohkoh SXT AlMgMn: 33
Yohkoh SXT thin-Al: 34
Yohkoh SXT white-light: 35
PROBA2 SWAP 174: 32
STEREO_A EUVI-A 195: 21
STEREO_A EUVI-A 304: 23
STEREO_A EUVI-A 284: 22
STEREO_A EUVI-A 171: 20
STEREO_A COR2-A: 29
STEREO_A COR1-A: 28
STEREO_B EUVI-B 195: 25
STEREO_B EUVI-B 304: 27
STEREO_B EUVI-B 284: 26
STEREO_B EUVI-B 171: 24
STEREO_B COR2-B: 31
STEREO_B COR1-B: 30
SOHO MDI Mag: 6
SOHO MDI Int: 7
SOHO EIT 195: 1
SOHO EIT 304: 3
SOHO EIT 284: 2
SOHO EIT 171: 0
SOHO LASCO C3: 5
SOHO LASCO C2: 4
SDO AIA 1700: 16
SDO AIA 211: 12
SDO AIA 335: 14
SDO AIA 1600: 15
SDO AIA 304: 13
SDO AIA 193: 11
SDO AIA 131: 9
SDO AIA 4500: 17
SDO AIA 94: 8
SDO AIA 171: 10
SDO HMI Mag: 19
SDO HMI Int: 18

This show me all instruments from sunpy. You see all instruments online here
The next step is to take one png image :

>>> hv.download_png('2013/11/29 00:15:00', 50, "[SOHO,LASCO,C3,white-light,1,100]", x0=0, y0=0, width=768, height=768)

The settings are : date and time , the image resolution (arcseconds per pixel), the SOHO LASCO C3 instrument with the layer visibility , center points and size

Working with SunPy python module - part 001 .

The SunPy python module it's an open-source software library for solar physics using the Python programming language.

The SunPy module is included into nasa projects.

Now, if you want to use this python module then you need to install lapack and blas libraries for development.

I use # pip under super user account to install sunpy and the python modules required by SunPy.

# pip install --upgrade distribute
# pip install --upgrade pyfits
# pip install --upgrade suds
# pip install --upgrade pandas
# pip install --upgrade beautifulsoup4

... also you need to have this python modules: Scipy and Matplotlib.

After that you can install sunpy using:

# pip install sunpy
# pip install --upgrade sunpy

The basic example is one output created by Map() function.

This function can deal with many data sources, like:

SDO/AIA, SDO/HMI

STEREO/EUVI, STEREO/COR

Hinode/XRT

SOHO/EIT, SOHO/LASCO, SOHO/MDI

PROBA2/SWAP

Yohkoh/SXT

Let's try a simple example and will show the result...

>>> import sunpy 
>>> ati_map=sunpy.Map(sunpy.AIA_171_IMAGE).peek()

... and output is:

Let's make more sun maps...

>>> eit_map=sunpy.Map(sunpy.EIT_195_IMAGE).peek()

The the output is:

>>> rhessi_map=sunpy.Map(sunpy.RHESSI_IMAGE).peek()

You can see radio spectrometer image using:

>>> callisto_radio_maps=sunpy.Map(sunpy.CALLISTO_IMAGE).peek()

Also you can combine the maps , like in the next example:

>>> eti_rhessi_maps=sunpy.Map(sunpy.EIT_195_IMAGE, sunpy.RHESSI_IMAGE, composite=True).peek()

You can get more infos about Map using :

>>> help(sunpy.Map)

If you want more data to show then you can request data from here.

Also you can give parameters to the Map, like:

date : datetime
 |          Image observation time
...

This allow you to take more data and info...

Using matplotlib and scipy modules can help to parse and show all infos.