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diff --git a/python-hypatie.spec b/python-hypatie.spec new file mode 100644 index 0000000..f4d1f2a --- /dev/null +++ b/python-hypatie.spec @@ -0,0 +1,641 @@ +%global _empty_manifest_terminate_build 0 +Name: python-hypatie +Version: 2.20.1 +Release: 1 +Summary: A python package for astronomical calculations +License: MIT +URL: https://github.com/behrouzz/hypatie +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/99/80/bf6508a9d4c23a80578db5dc68822a8f4ec63175bd2f0d214af0e98abe82/hypatie-2.20.1.tar.gz +BuildArch: noarch + +Requires: python3-numpy +Requires: python3-scipy +Requires: python3-matplotlib +Requires: python3-pandas +Requires: python3-requests + +%description +**Author:** [Behrouz Safari](https://behrouzz.github.io/)<br/>
+**License:** [MIT](https://opensource.org/licenses/MIT)<br/>
+
+# hypatie
+*A python package for astronomical calculations*
+
+
+## Installation
+
+Install the latest version of *hypatie* from [PyPI](https://pypi.org/project/hypatie/):
+
+ pip install hypatie
+
+Requirements are *numpy*, *pandas* and *matplotlib*.
+
+
+## NASA JPL's Horizons
+
+Let's get the positions of the sun between two times:
+
+```python
+import hypatie as hp
+
+t1 = '2021-03-20 08:00:00'
+t2 = '2021-03-20 10:00:00'
+```
+
+If you want the apparent RA and DEC of the Sun with respect to Earth's center (geocentric):
+
+```python
+obs = hp.Observer('sun', t1, t2, step=5)
+```
+
+Now you can access the time intervals with *.time* attribute:
+
+```python
+print(obs.time)
+
+[datetime.datetime(2021, 3, 20, 8, 0)
+ datetime.datetime(2021, 3, 20, 8, 24)
+ datetime.datetime(2021, 3, 20, 8, 48)
+ datetime.datetime(2021, 3, 20, 9, 12)
+ datetime.datetime(2021, 3, 20, 9, 36)
+ datetime.datetime(2021, 3, 20, 10, 0)]
+```
+
+To acces the position you can use *obs.pos*, *obs.ra*, or *obs.dec*:
+
+```python
+print(obs.pos)
+
+[[ 3.59938235e+02 -2.66803120e-02]
+ [ 3.59953431e+02 -2.00920520e-02]
+ [ 3.59968627e+02 -1.35038600e-02]
+ [ 3.59983823e+02 -6.91573600e-03]
+ [ 3.59999018e+02 -3.27680000e-04]
+ [ 1.42132560e-02 6.26030600e-03]]
+```
+
+The first column in the above array is RA and the second column is DEC.
+
+It is possible to get the apparent RA & DEC of a targer with respect to a specified location on the surface of a body.
+For example, if you want to get the apparent RA & DEC of the Sun for the Eiffel Tower :
+
+```python
+obs = hp.Observer('sun', t1, t2, step=5, center='2.2945,48.8584,300@399')
+```
+
+Note that 2.2945 is the longtitude, 48.8584 is the latitude and 300 (meters) is the elevation of the Eiffel Tower.
+We have specified '@399' at the end which means that this coordinates is situated on the Earth (399 is the Earth's code).
+
+You can request the cartesian positions (x,y,z) of a target with *Vector* class.
+
+```python
+vec = hp.Vector('sun', t1, t2, step=5)
+```
+
+As with the *Observer* class, there are two attributes *.time* and *.pos* for *Vector* class.
+Note that when creating a Vector class, you have *.x*, *.y* and *.z* attributes instead of *.ra* and *.dec*.
+
+For both *Vector* and *Observer* classes you can pass a single time to get position/state of a body at a single time:
+```python
+vec = hp.Vector('sun', t1)
+```
+
+Both *Vector* and *Observer* classes have *.plot()* method.
+```python
+# plot polar coordinates
+obs.plot()
+# plot cartesian coordinates
+vec.plot()
+```
+
+## Example: animating James Webb Space Telescope
+
+In addition to *.plot()* method of *Vector* and *Observer* classes, there's a *play()* function that you can pass it a list of Vector objects as well as some other lists as shown in the example below:
+
+```python
+import hypatie as hp
+import matplotlib.pyplot as plt
+
+t1 = '2018-10-01 14:18:00'
+t2 = '2024-12-31 12:18:00'
+
+# get positions with respect to the barycenter of earth-moon
+earth = hp.Vector('399', t1, t2, center='500@3', step=1000)
+moon = hp.Vector('301', t1, t2, center='500@3', step=1000)
+jwst = hp.Vector('-170', t1, t2, center='500@3', step=1000)
+
+bodies = [earth, moon, jwst]
+names = ['Earth', 'Moon', 'James Webb']
+colors = ['b','g','r']
+sizes = [20, 8, 3]
+
+# play the animation
+anim = hp.play(bodies, names, colors, sizes)
+plt.show()
+```
+
+## Transformations
+
+There are several functions in *hypatie.transform* module. As an example, let's use the *to_tete* function which transforms the GCRS coordinates to True Equator True Equinox (of date):
+
+```python
+from hypatie.transform import to_tete
+import numpy as np
+from datetime import datetime
+
+t = datetime(2022, 3, 18)
+
+# GCRS coordinates
+pos = np.array([0.73859258, 0.13935437, 0.65959182])
+
+# True Equator and True equinox of t
+pos_tete = to_tete(pos, t)
+
+print(pos_tete)
+#[0.73649269 0.14295327 0.66116782]
+```
+
+## Deep sky
+
+You can download data from astronomical catalogues:
+```python
+from hypatie.catalogues import Catalogue
+
+cat = Catalogue('gaia3')
+data, meta = cat.download()
+```
+
+or, plot the star chart for your location:
+```python
+from hypatie.plots import star_chart
+
+fig, ax = star_chart(lon=2.2945, lat=48.8584)
+plt.show()
+```
+
+or, use a virtual telescope:
+```python
+from hypatie.plots import Telescope
+
+target = (10.6847,41.2687) # az,alt of a point in the sky
+paris = (2.2945, 48.8584) # location of observer
+
+# get image with 3 degrees field of view
+tel = Telescope(target_loc=target, obs_loc=paris, fov=3)
+tel.show()
+```
+
+## Explore proper motion
+
+Let's create a chart showing the proper motion of stars near the Sgr A* (Milky Way's central supermassive black hole). The coordinates of the black hole are given and shown with the red '+' in the chart.
+
+```python
+from hypatie.plots import explore_pm
+import matplotlib.pyplot as plt
+
+ra = 266.41681662499997
+dec = -29.00782497222222
+
+df, fig, ax = explore_pm(ra, dec, r=0.001, otype='star')
+plt.show()
+```
+
+
+
+See more examples at [astrodatascience.net](https://astrodatascience.net/)
+ + +%package -n python3-hypatie +Summary: A python package for astronomical calculations +Provides: python-hypatie +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-hypatie +**Author:** [Behrouz Safari](https://behrouzz.github.io/)<br/>
+**License:** [MIT](https://opensource.org/licenses/MIT)<br/>
+
+# hypatie
+*A python package for astronomical calculations*
+
+
+## Installation
+
+Install the latest version of *hypatie* from [PyPI](https://pypi.org/project/hypatie/):
+
+ pip install hypatie
+
+Requirements are *numpy*, *pandas* and *matplotlib*.
+
+
+## NASA JPL's Horizons
+
+Let's get the positions of the sun between two times:
+
+```python
+import hypatie as hp
+
+t1 = '2021-03-20 08:00:00'
+t2 = '2021-03-20 10:00:00'
+```
+
+If you want the apparent RA and DEC of the Sun with respect to Earth's center (geocentric):
+
+```python
+obs = hp.Observer('sun', t1, t2, step=5)
+```
+
+Now you can access the time intervals with *.time* attribute:
+
+```python
+print(obs.time)
+
+[datetime.datetime(2021, 3, 20, 8, 0)
+ datetime.datetime(2021, 3, 20, 8, 24)
+ datetime.datetime(2021, 3, 20, 8, 48)
+ datetime.datetime(2021, 3, 20, 9, 12)
+ datetime.datetime(2021, 3, 20, 9, 36)
+ datetime.datetime(2021, 3, 20, 10, 0)]
+```
+
+To acces the position you can use *obs.pos*, *obs.ra*, or *obs.dec*:
+
+```python
+print(obs.pos)
+
+[[ 3.59938235e+02 -2.66803120e-02]
+ [ 3.59953431e+02 -2.00920520e-02]
+ [ 3.59968627e+02 -1.35038600e-02]
+ [ 3.59983823e+02 -6.91573600e-03]
+ [ 3.59999018e+02 -3.27680000e-04]
+ [ 1.42132560e-02 6.26030600e-03]]
+```
+
+The first column in the above array is RA and the second column is DEC.
+
+It is possible to get the apparent RA & DEC of a targer with respect to a specified location on the surface of a body.
+For example, if you want to get the apparent RA & DEC of the Sun for the Eiffel Tower :
+
+```python
+obs = hp.Observer('sun', t1, t2, step=5, center='2.2945,48.8584,300@399')
+```
+
+Note that 2.2945 is the longtitude, 48.8584 is the latitude and 300 (meters) is the elevation of the Eiffel Tower.
+We have specified '@399' at the end which means that this coordinates is situated on the Earth (399 is the Earth's code).
+
+You can request the cartesian positions (x,y,z) of a target with *Vector* class.
+
+```python
+vec = hp.Vector('sun', t1, t2, step=5)
+```
+
+As with the *Observer* class, there are two attributes *.time* and *.pos* for *Vector* class.
+Note that when creating a Vector class, you have *.x*, *.y* and *.z* attributes instead of *.ra* and *.dec*.
+
+For both *Vector* and *Observer* classes you can pass a single time to get position/state of a body at a single time:
+```python
+vec = hp.Vector('sun', t1)
+```
+
+Both *Vector* and *Observer* classes have *.plot()* method.
+```python
+# plot polar coordinates
+obs.plot()
+# plot cartesian coordinates
+vec.plot()
+```
+
+## Example: animating James Webb Space Telescope
+
+In addition to *.plot()* method of *Vector* and *Observer* classes, there's a *play()* function that you can pass it a list of Vector objects as well as some other lists as shown in the example below:
+
+```python
+import hypatie as hp
+import matplotlib.pyplot as plt
+
+t1 = '2018-10-01 14:18:00'
+t2 = '2024-12-31 12:18:00'
+
+# get positions with respect to the barycenter of earth-moon
+earth = hp.Vector('399', t1, t2, center='500@3', step=1000)
+moon = hp.Vector('301', t1, t2, center='500@3', step=1000)
+jwst = hp.Vector('-170', t1, t2, center='500@3', step=1000)
+
+bodies = [earth, moon, jwst]
+names = ['Earth', 'Moon', 'James Webb']
+colors = ['b','g','r']
+sizes = [20, 8, 3]
+
+# play the animation
+anim = hp.play(bodies, names, colors, sizes)
+plt.show()
+```
+
+## Transformations
+
+There are several functions in *hypatie.transform* module. As an example, let's use the *to_tete* function which transforms the GCRS coordinates to True Equator True Equinox (of date):
+
+```python
+from hypatie.transform import to_tete
+import numpy as np
+from datetime import datetime
+
+t = datetime(2022, 3, 18)
+
+# GCRS coordinates
+pos = np.array([0.73859258, 0.13935437, 0.65959182])
+
+# True Equator and True equinox of t
+pos_tete = to_tete(pos, t)
+
+print(pos_tete)
+#[0.73649269 0.14295327 0.66116782]
+```
+
+## Deep sky
+
+You can download data from astronomical catalogues:
+```python
+from hypatie.catalogues import Catalogue
+
+cat = Catalogue('gaia3')
+data, meta = cat.download()
+```
+
+or, plot the star chart for your location:
+```python
+from hypatie.plots import star_chart
+
+fig, ax = star_chart(lon=2.2945, lat=48.8584)
+plt.show()
+```
+
+or, use a virtual telescope:
+```python
+from hypatie.plots import Telescope
+
+target = (10.6847,41.2687) # az,alt of a point in the sky
+paris = (2.2945, 48.8584) # location of observer
+
+# get image with 3 degrees field of view
+tel = Telescope(target_loc=target, obs_loc=paris, fov=3)
+tel.show()
+```
+
+## Explore proper motion
+
+Let's create a chart showing the proper motion of stars near the Sgr A* (Milky Way's central supermassive black hole). The coordinates of the black hole are given and shown with the red '+' in the chart.
+
+```python
+from hypatie.plots import explore_pm
+import matplotlib.pyplot as plt
+
+ra = 266.41681662499997
+dec = -29.00782497222222
+
+df, fig, ax = explore_pm(ra, dec, r=0.001, otype='star')
+plt.show()
+```
+
+
+
+See more examples at [astrodatascience.net](https://astrodatascience.net/)
+ + +%package help +Summary: Development documents and examples for hypatie +Provides: python3-hypatie-doc +%description help +**Author:** [Behrouz Safari](https://behrouzz.github.io/)<br/>
+**License:** [MIT](https://opensource.org/licenses/MIT)<br/>
+
+# hypatie
+*A python package for astronomical calculations*
+
+
+## Installation
+
+Install the latest version of *hypatie* from [PyPI](https://pypi.org/project/hypatie/):
+
+ pip install hypatie
+
+Requirements are *numpy*, *pandas* and *matplotlib*.
+
+
+## NASA JPL's Horizons
+
+Let's get the positions of the sun between two times:
+
+```python
+import hypatie as hp
+
+t1 = '2021-03-20 08:00:00'
+t2 = '2021-03-20 10:00:00'
+```
+
+If you want the apparent RA and DEC of the Sun with respect to Earth's center (geocentric):
+
+```python
+obs = hp.Observer('sun', t1, t2, step=5)
+```
+
+Now you can access the time intervals with *.time* attribute:
+
+```python
+print(obs.time)
+
+[datetime.datetime(2021, 3, 20, 8, 0)
+ datetime.datetime(2021, 3, 20, 8, 24)
+ datetime.datetime(2021, 3, 20, 8, 48)
+ datetime.datetime(2021, 3, 20, 9, 12)
+ datetime.datetime(2021, 3, 20, 9, 36)
+ datetime.datetime(2021, 3, 20, 10, 0)]
+```
+
+To acces the position you can use *obs.pos*, *obs.ra*, or *obs.dec*:
+
+```python
+print(obs.pos)
+
+[[ 3.59938235e+02 -2.66803120e-02]
+ [ 3.59953431e+02 -2.00920520e-02]
+ [ 3.59968627e+02 -1.35038600e-02]
+ [ 3.59983823e+02 -6.91573600e-03]
+ [ 3.59999018e+02 -3.27680000e-04]
+ [ 1.42132560e-02 6.26030600e-03]]
+```
+
+The first column in the above array is RA and the second column is DEC.
+
+It is possible to get the apparent RA & DEC of a targer with respect to a specified location on the surface of a body.
+For example, if you want to get the apparent RA & DEC of the Sun for the Eiffel Tower :
+
+```python
+obs = hp.Observer('sun', t1, t2, step=5, center='2.2945,48.8584,300@399')
+```
+
+Note that 2.2945 is the longtitude, 48.8584 is the latitude and 300 (meters) is the elevation of the Eiffel Tower.
+We have specified '@399' at the end which means that this coordinates is situated on the Earth (399 is the Earth's code).
+
+You can request the cartesian positions (x,y,z) of a target with *Vector* class.
+
+```python
+vec = hp.Vector('sun', t1, t2, step=5)
+```
+
+As with the *Observer* class, there are two attributes *.time* and *.pos* for *Vector* class.
+Note that when creating a Vector class, you have *.x*, *.y* and *.z* attributes instead of *.ra* and *.dec*.
+
+For both *Vector* and *Observer* classes you can pass a single time to get position/state of a body at a single time:
+```python
+vec = hp.Vector('sun', t1)
+```
+
+Both *Vector* and *Observer* classes have *.plot()* method.
+```python
+# plot polar coordinates
+obs.plot()
+# plot cartesian coordinates
+vec.plot()
+```
+
+## Example: animating James Webb Space Telescope
+
+In addition to *.plot()* method of *Vector* and *Observer* classes, there's a *play()* function that you can pass it a list of Vector objects as well as some other lists as shown in the example below:
+
+```python
+import hypatie as hp
+import matplotlib.pyplot as plt
+
+t1 = '2018-10-01 14:18:00'
+t2 = '2024-12-31 12:18:00'
+
+# get positions with respect to the barycenter of earth-moon
+earth = hp.Vector('399', t1, t2, center='500@3', step=1000)
+moon = hp.Vector('301', t1, t2, center='500@3', step=1000)
+jwst = hp.Vector('-170', t1, t2, center='500@3', step=1000)
+
+bodies = [earth, moon, jwst]
+names = ['Earth', 'Moon', 'James Webb']
+colors = ['b','g','r']
+sizes = [20, 8, 3]
+
+# play the animation
+anim = hp.play(bodies, names, colors, sizes)
+plt.show()
+```
+
+## Transformations
+
+There are several functions in *hypatie.transform* module. As an example, let's use the *to_tete* function which transforms the GCRS coordinates to True Equator True Equinox (of date):
+
+```python
+from hypatie.transform import to_tete
+import numpy as np
+from datetime import datetime
+
+t = datetime(2022, 3, 18)
+
+# GCRS coordinates
+pos = np.array([0.73859258, 0.13935437, 0.65959182])
+
+# True Equator and True equinox of t
+pos_tete = to_tete(pos, t)
+
+print(pos_tete)
+#[0.73649269 0.14295327 0.66116782]
+```
+
+## Deep sky
+
+You can download data from astronomical catalogues:
+```python
+from hypatie.catalogues import Catalogue
+
+cat = Catalogue('gaia3')
+data, meta = cat.download()
+```
+
+or, plot the star chart for your location:
+```python
+from hypatie.plots import star_chart
+
+fig, ax = star_chart(lon=2.2945, lat=48.8584)
+plt.show()
+```
+
+or, use a virtual telescope:
+```python
+from hypatie.plots import Telescope
+
+target = (10.6847,41.2687) # az,alt of a point in the sky
+paris = (2.2945, 48.8584) # location of observer
+
+# get image with 3 degrees field of view
+tel = Telescope(target_loc=target, obs_loc=paris, fov=3)
+tel.show()
+```
+
+## Explore proper motion
+
+Let's create a chart showing the proper motion of stars near the Sgr A* (Milky Way's central supermassive black hole). The coordinates of the black hole are given and shown with the red '+' in the chart.
+
+```python
+from hypatie.plots import explore_pm
+import matplotlib.pyplot as plt
+
+ra = 266.41681662499997
+dec = -29.00782497222222
+
+df, fig, ax = explore_pm(ra, dec, r=0.001, otype='star')
+plt.show()
+```
+
+
+
+See more examples at [astrodatascience.net](https://astrodatascience.net/)
+ + +%prep +%autosetup -n hypatie-2.20.1 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-hypatie -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon May 29 2023 Python_Bot <Python_Bot@openeuler.org> - 2.20.1-1 +- Package Spec generated |