**Skyfield:**
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API Reference

The highest-level routines in Skyfield let you search back and forward through time for the exact moments when the Earth, Sun, and Moon are in special configurations.

They all require you to start by loading up a timescale object and also an ephemeris file that provides positions from the planets:

```
from skyfield import api
ts = api.load.timescale()
eph = api.load('de421.bsp')
```

Then, load the “almanac” module.

```
from skyfield import almanac
```

Note that almanac computation can be slow and expensive. To determine the moment of sunrise, for example, Skyfield has to search back and forth through time asking for the altitude of the Sun over and over until it finally works out the moment at which it crests the horizon.

If you compare almanac results to official sources like the United
States Naval Observatory, the
printed time will often differ because the Naval Observatory results are
rounded to the nearest minute — any time with `:30`

or more seconds at
the end gets named as the next minute.

If you try to display a date that needs to be rounded to the nearest
minute by simply stopping at `%M`

and leaving off the `%S`

seconds,
the output will be one minute too early. For example, the Naval
Observatory would round `14:59`

up to `:15`

in the following date.

```
t = ts.utc(2018, 9, 10, 5, 14, 59)
dt = t.utc_datetime()
print(dt.strftime('%Y-%m-%d %H:%M'))
```

```
2018-09-10 05:14
```

To do the same rounding yourself, simply add 30 seconds to the time before truncating the seconds.

```
from datetime import timedelta
def nearest_minute(dt):
return (dt + timedelta(seconds=30)).replace(second=0, microsecond=0)
dt = nearest_minute(t.utc_datetime())
print(dt.strftime('%Y-%m-%d %H:%M'))
```

```
2018-09-10 05:15
```

The results should then agree with the tables produced by the USNO.

Create a start time and an end time to ask for all of the equinoxes and solstices that fall in between.

```
t0 = ts.utc(2018, 1, 1)
t1 = ts.utc(2018, 12, 31)
t, y = almanac.find_discrete(t0, t1, almanac.seasons(eph))
for yi, ti in zip(y, t):
print(yi, almanac.SEASON_EVENTS[yi], ti.utc_iso(' '))
```

```
0 Vernal Equinox 2018-03-20 16:15:27Z
1 Summer Solstice 2018-06-21 10:07:18Z
2 Autumnal Equinox 2018-09-23 01:54:06Z
3 Winter Solstice 2018-12-21 22:22:44Z
```

The result `t`

will be an array of times, and `y`

will be `0`

through `3`

for the Vernal Equinox through the Winter Solstice.

If you or some of your users live in the Southern Hemisphere,
you can use the `SEASON_EVENTS_NEUTRAL`

array.
Instead of naming specific seasons,
it names the equinoxes and solstices by the month in which they occur —
so the `March Equinox`

, for example, is followed by the `June Solstice`

.

The phases of the Moon are the same for everyone on Earth, so no Topos is necessary but only an ephemeris object.

```
t0 = ts.utc(2018, 9, 1)
t1 = ts.utc(2018, 9, 10)
t, y = almanac.find_discrete(t0, t1, almanac.moon_phases(eph))
print(t.utc_iso())
print(y)
print([almanac.MOON_PHASES[yi] for yi in y])
```

```
['2018-09-03T02:37:24Z', '2018-09-09T18:01:28Z']
[3 0]
['Last Quarter', 'New Moon']
```

The result `t`

will be an array of times, and `y`

will be a
corresponding array of Moon phases with 0 for New Moon and 3 for Last
Quarter. You can use the array `MOON_PHASES`

to retrieve names for
each phase.

The Moon’s ascending node and descending node are the moments each lunar month when the Moon crosses the plane of Earth’s orbit and eclipses are possible.

```
t0 = ts.utc(2020, 4, 22)
t1 = ts.utc(2020, 5, 22)
t, y = almanac.find_discrete(t0, t1, almanac.moon_nodes(eph))
print(t.utc_iso())
print(y)
print([almanac.MOON_NODES[yi] for yi in y])
```

```
['2020-04-27T17:54:17Z', '2020-05-10T09:01:42Z']
[ True False]
['ascending', 'descending']
```

The moment at which a planet is in opposition with the Sun or in conjunction with the Sun is when their ecliptic longitudes are at 0° or 180° difference.

```
t0 = ts.utc(2019, 1, 1)
t1 = ts.utc(2021, 1, 1)
f = almanac.oppositions_conjunctions(eph, eph['mars'])
t, y = almanac.find_discrete(t0, t1, f)
print(t.utc_iso())
print(y)
```

```
['2019-09-02T10:42:14Z', '2020-10-13T23:25:47Z']
[0 1]
```

The result `t`

will be an array of times, and `y`

will be an array
of integers indicating which half of the sky the body has just entered:
0 means the half of the sky west of the Sun along the ecliptic, and 1
means the half of the sky east of the Sun. This means different things
for different bodies:

- For the outer planets Mars, Jupiter, Saturn, Uranus, and all other bodies out beyond our orbit, 0 means the moment of conjunction with the Sun and 1 means the moment of opposition.
- Because the Moon moves eastward across our sky relative to the Sun, not westward, the output is reversed compared to the outer planets: 0 means the moment of opposition or Full Moon, while 1 means the moment of conjunction or New Moon.
- The inner planets Mercury and Venus only ever experience conjunctions with the Sun from our point of view, never oppositions, with 0 indicating an inferior conjunction and 1 a superior conjunction.

Because sunrise and sunset differ depending on your location on the Earth’s surface, you first need to create a Topos object describing your geographic location.

```
bluffton = api.Topos('40.8939 N', '83.8917 W')
```

Then you can create a start time and an end time and ask for all of the sunrises and sunsets in between. Skyfield uses the official definition of sunrise and sunset from the United States Naval Observatory, which defines them as the moment when the center — not the limb — of the sun is 0.8333 degrees below the horizon, to account for both the average radius of the Sun itself and for the average refraction of the atmosphere at the horizon.

```
t0 = ts.utc(2018, 9, 12, 4)
t1 = ts.utc(2018, 9, 13, 4)
t, y = almanac.find_discrete(t0, t1, almanac.sunrise_sunset(eph, bluffton))
print(t.utc_iso())
print(y)
```

```
['2018-09-12T11:13:13Z', '2018-09-12T23:49:38Z']
[ True False]
```

The result `t`

will be an array of times, and `y`

will be `True`

if the sun rises at the corresponding time and `False`

if it sets.

If you need to provide your own custom value for refraction, adjust the
estimate of the Sun’s radius, or account for a vantage point above the
Earth’s surface, see Risings and Settings to learn about the more
versatile `risings_and_settings()`

routine.

Note that a location near one of the poles during polar summer or polar winter will not experience sunrise and sunset. To learn whether the sun is up or down, call the sunrise-sunset function at the time that interests you, and the return value will indicate whether the sun is up.

```
far_north = api.Topos('89 N', '80 W')
f = almanac.sunrise_sunset(eph, far_north)
t, y = almanac.find_discrete(t0, t1, f)
print(t.utc_iso()) # Empty list: no sunrise or sunset
print(f(t0)) # But we can ask if the sun is up
print('polar day' if f(t0) else 'polar night')
```

```
[]
True
polar day
```

An expanded version of the sunrise-sunset routine separately codes each of the phases of twilight using integers:

- Dark of night.
- Astronomical twilight.
- Nautical twilight.
- Civil twilight.
- Daytime.

```
t0 = ts.utc(2019, 11, 8, 5)
t1 = ts.utc(2019, 11, 9, 5)
f = almanac.dark_twilight_day(eph, bluffton)
t, y = almanac.find_discrete(t0, t1, f)
for ti, yi in zip(t, y):
print(yi, ti.utc_iso(), ' Start of', almanac.TWILIGHTS[yi])
```

```
1 2019-11-08T10:40:19Z Start of Astronomical twilight
2 2019-11-08T11:12:31Z Start of Nautical twilight
3 2019-11-08T11:45:18Z Start of Civil twilight
4 2019-11-08T12:14:15Z Start of Day
3 2019-11-08T22:23:52Z Start of Civil twilight
2 2019-11-08T22:52:48Z Start of Nautical twilight
1 2019-11-08T23:25:34Z Start of Astronomical twilight
0 2019-11-08T23:57:44Z Start of Night
```

Skyfield can compute when a given body rises and sets. The routine is designed for bodies at the Moon’s distance or farther, that tend to rise and set about once a day. But it might be caught off guard if you pass it an Earth satellite that rises several times a day; for that case, see Historical satellite element sets.

Rising and setting predictions can be generated
using the `risings_and_settings()`

routine:

```
t0 = ts.utc(2020, 2, 1)
t1 = ts.utc(2020, 2, 2)
f = almanac.risings_and_settings(eph, eph['Mars'], bluffton)
t, y = almanac.find_discrete(t0, t1, f)
for ti, yi in zip(t, y):
print(ti.utc_iso(), 'Rise' if yi else 'Set')
```

```
2020-02-01T09:29:16Z Rise
2020-02-01T18:42:57Z Set
```

As with sunrise and sunset above, `True`

means the moment of rising
and `False`

means the moment of setting.

The routine also offers some optional parameters, whose several uses are covered in the following sections.

Instead of accepting the standard estimate of 34 arcminutes
for the angle by which refraction will raise the image
of a body at the horizon,
you can compute atmospheric refraction yourself
and supply the resulting angle to `horizon_degrees`

.
Note that the value passed should be a small negative angle.
In this example it makes a 3 second difference
in both the rising and setting time:

```
from skyfield.earthlib import refraction
r = refraction(0.0, temperature_C=15.0, pressure_mbar=1030.0)
print('Arcminutes refraction for body seen at horizon: %.2f\n' % (r * 60.0))
f = almanac.risings_and_settings(eph, eph['Mars'], bluffton, horizon_degrees=-r)
t, y = almanac.find_discrete(t0, t1, f)
for ti, yi in zip(t, y):
print(ti.utc_iso(), 'Rise' if yi else 'Set')
```

```
Arcminutes refraction for body seen at horizon: 34.53
2020-02-01T09:29:13Z Rise
2020-02-01T18:43:00Z Set
```

Planets and especially the Sun and Moon have an appreciable radius,
and we usually consider the moment of sunrise
to be the moment when its bright limb crests the horizon —
not the later moment when its center finally rises into view.
Set the parameter `radius_degrees`

to the body’s apparent radius
to generate an earlier rising and later setting;
the value `0.25`

, for example,
would be a rough estimate for the Sun or Moon.

The difference in rising time can be a minute or more:

```
f = almanac.risings_and_settings(eph, eph['Sun'], bluffton, radius_degrees=0.25)
t, y = almanac.find_discrete(t0, t1, f)
print(t[0].utc_iso(' '), 'Limb of the Sun crests the horizon')
f = almanac.risings_and_settings(eph, eph['Sun'], bluffton)
t, y = almanac.find_discrete(t0, t1, f)
print(t[0].utc_iso(' '), 'Center of the Sun reaches the horizon')
```

```
2020-02-01 12:46:27Z Limb of the Sun crests the horizon
2020-02-01 12:47:53Z Center of the Sun reaches the horizon
```

Rising and setting predictions usually assume a flat local horizon that does not vary with elevation. Yes, Denver is the Mile High City, but it sees the sun rise against a local horizon that’s also a mile high. Since the city’s high altitude is matched by the high altitude of the terrain around it, the horizon winds up in the same place it would be for a city at sea level.

But sometimes you need to account not only for local elevation,
but for *altitude* above the surrounding terrain.
Some observatories, for example, are located on mountaintops
that are much higher than the elevation of the terrain
that forms their horizon.
And Earth satellites can be hundreds of kilometers
above the surface of the Earth that produces their sunrises and sunsets.

You can account for high altitude above the horizon’s terrain
by setting an artificially negative value for `horizon_degrees`

.
If we consider the Earth to be approximately a sphere,
then we can use a bit of trigonometry
to estimate the position of the horizon for an observer at altitude:

```
from numpy import arccos
from skyfield.units import Angle
# When does the Sun rise in the ionosphere’s F-layer, 300km up?
altitude_m = 300e3
earth_radius_m = 6378136.6
side_over_hypotenuse = earth_radius_m / (earth_radius_m + altitude_m)
h = Angle(radians = -arccos(side_over_hypotenuse))
print('The horizon from 300km up is at %.2f degrees' % h.degrees)
f = almanac.risings_and_settings(
eph, eph['Sun'], bluffton, horizon_degrees=h.degrees,
radius_degrees=0.25,
)
t, y = almanac.find_discrete(t0, t1, f)
print(t[0].utc_iso(' '), 'Limb of the Sun crests the horizon')
```

```
The horizon from 300km up is at -17.24 degrees
2020-02-01 00:22:42Z Limb of the Sun crests the horizon
```

When writing code for this situation,
we need to be very careful to keep straight
the two different meanings of *altitude*.

- The
*altitude above sea level*is a linear distance measured in meters between the ground and the location at which we want to compute rises and settings. - The
*altitude of the horizon*names a quite different measure. It’s an angle measured in degrees that is one of the two angles of the altitude-azimuth (“altazimuth”) system oriented around an observer on a planet’s surface. While azimuth measures horizontally around the horizon from north through east, south, and west, the altitude angle measures up towards the zenith (positive) and down towards the nadir (negative). The altitude is zero all along the great circle between zenith and nadir.

The problem of an elevated observer unfortunately involves both kinds of altitude at the same time: for each extra meter of “altitude” above the ground, there is a slight additional depression in the angular “altitude” of the horizon on the altazimuth globe.

If you are interested in finding the times when a fixed point in the sky rises and sets, simply create a star object with the coordinates of the position you are interested in (see Stars and Distant Objects). Here, for example, are rising and setting times for the Galactic Center:

```
galactic_center = api.Star(ra_hours=(17, 45, 40.04),
dec_degrees=(-29, 0, 28.1))
f = almanac.risings_and_settings(eph, galactic_center, bluffton)
t, y = almanac.find_discrete(t0, t1, f)
for ti, yi in zip(t, y):
verb = 'rises above' if yi else 'sets below'
print(ti.utc_iso(' '), '- Galactic Center', verb, 'the horizon')
```

```
2020-02-01 10:29:00Z - Galactic Center rises above the horizon
2020-02-01 18:45:46Z - Galactic Center sets below the horizon
```

The solar terms are widely used in East Asian calendars.

```
from skyfield import almanac_east_asia as almanac_ea
t0 = ts.utc(2019, 12, 1)
t1 = ts.utc(2019, 12, 31)
t, tm = almanac.find_discrete(t0, t1, almanac_ea.solar_terms(eph))
for tmi, ti in zip(tm, t):
print(tmi, almanac_ea.SOLAR_TERMS_ZHS[tmi], ti.utc_iso(' '))
```

```
17 大雪 2019-12-07 10:18:28Z
18 冬至 2019-12-22 04:19:26Z
```

The result `t`

will be an array of times, and `y`

will be integers
in the range 0–23 which are each the index of a solar term. Localized
names for the solar terms in different East Asia languages are provided
as `SOLAR_TERMS_JP`

for Japanese, `SOLAR_TERMS_VN`

for Vietnamese,
`SOLAR_TERMS_ZHT`

for Traditional Chinese, and (as shown above)
`SOLAR_TERMS_ZHS`

for Simplified Chinese.