In [41]:
from planetarypy.constants import planets_pretty
In [42]:
planets_pretty
Out[42]:
Mass (10^24kg)
Diameter (km)
Density (kg/m3)
Gravity (m/s2)
Escape Velocity (km/s)
Rotation Period (hours)
Length of Day (hours)
Distance from Sun (10^6 km)
Perihelion (10^6 km)
Aphelion (10^6 km)
Orbital Period (days)
Orbital Velocity (km/s)
Orbital Inclination (degrees)
Orbital Eccentricity
Axial Tilt (degrees)
Mean Temperature (C)
Surface Pressure (bars)
Number of Moons
Ring System?
Global Magnetic Field?
MERCURY
0.3300
4879
5427
3.7
4.3
1407.6
4222.6
57.900
46.000
69.800
88.0
47.4
7.0
0.205
0.01
167
0.00
0
0
1
VENUS
4.8700
12104
5243
8.9
10.4
-5832.5
2802.0
108.200
107.500
108.900
224.7
35.0
3.4
0.007
177.40
464
92.00
0
0
0
EARTH
5.9700
12756
5514
9.8
11.2
23.9
24.0
149.600
147.100
152.100
365.2
29.8
0.0
0.017
23.40
15
1.00
1
0
1
MOON
0.0730
3475
3340
1.6
2.4
655.7
708.7
0.384
0.363
0.406
27.3
1.0
5.1
0.055
6.70
-20
0.00
0
0
0
MARS
0.6420
6792
3933
3.7
5.0
24.6
24.7
227.900
206.600
249.200
687.0
24.1
1.9
0.094
25.20
-65
0.01
2
0
0
JUPITER
1898.0000
142984
1326
23.1
59.5
9.9
9.9
778.600
740.500
816.600
4331.0
13.1
1.3
0.049
3.10
-110
NaN
67
1
1
SATURN
568.0000
120536
687
9.0
35.5
10.7
10.7
1433.500
1352.600
1514.500
10747.0
9.7
2.5
0.057
26.70
-140
NaN
62
1
1
URANUS
86.8000
51118
1271
8.7
21.3
-17.2
17.2
2872.500
2741.300
3003.600
30589.0
6.8
0.8
0.046
97.80
-195
NaN
27
1
1
NEPTUNE
102.0000
49528
1638
11.0
23.5
16.1
16.1
4495.100
4444.500
4545.700
59800.0
5.4
1.8
0.011
28.30
-200
NaN
14
1
1
PLUTO
0.0131
2390
1830
0.6
1.1
-153.3
153.3
5870.000
4435.000
7304.300
90588.0
4.7
17.2
0.244
122.50
-225
0.00
5
0
NaN
In [43]:
planets_pretty.dtypes
Out[43]:
Mass (10^24kg) float64
Diameter (km) int64
Density (kg/m3) int64
Gravity (m/s2) float64
Escape Velocity (km/s) float64
Rotation Period (hours) float64
Length of Day (hours) float64
Distance from Sun (10^6 km) float64
Perihelion (10^6 km) float64
Aphelion (10^6 km) float64
Orbital Period (days) float64
Orbital Velocity (km/s) float64
Orbital Inclination (degrees) float64
Orbital Eccentricity float64
Axial Tilt (degrees) float64
Mean Temperature (C) int64
Surface Pressure (bars) float64
Number of Moons int64
Ring System? float64
Global Magnetic Field? float64
dtype: object
... while planets provides a dataframe that has an easier to use dataframe index with
In [44]:
from planetarypy.constants import planets
In [45]:
planets
Out[45]:
mass
diameter
density
gravity
escape_velocity
rotation_period
length_of_day
distance_from_sun
perihelion
aphelion
orbital_period
orbital_velocity
orbital_inclination
orbital_eccentricity
axial_tilt
mean_temperature
surface_pressure
number_of_moons
is_ring_system
has_global_magnetic_field
MERCURY
0.3300
4879
5427
3.7
4.3
1407.6
4222.6
57.900
46.000
69.800
88.0
47.4
7.0
0.205
0.01
167
0.00
0
0
1
VENUS
4.8700
12104
5243
8.9
10.4
-5832.5
2802.0
108.200
107.500
108.900
224.7
35.0
3.4
0.007
177.40
464
92.00
0
0
0
EARTH
5.9700
12756
5514
9.8
11.2
23.9
24.0
149.600
147.100
152.100
365.2
29.8
0.0
0.017
23.40
15
1.00
1
0
1
MOON
0.0730
3475
3340
1.6
2.4
655.7
708.7
0.384
0.363
0.406
27.3
1.0
5.1
0.055
6.70
-20
0.00
0
0
0
MARS
0.6420
6792
3933
3.7
5.0
24.6
24.7
227.900
206.600
249.200
687.0
24.1
1.9
0.094
25.20
-65
0.01
2
0
0
JUPITER
1898.0000
142984
1326
23.1
59.5
9.9
9.9
778.600
740.500
816.600
4331.0
13.1
1.3
0.049
3.10
-110
NaN
67
1
1
SATURN
568.0000
120536
687
9.0
35.5
10.7
10.7
1433.500
1352.600
1514.500
10747.0
9.7
2.5
0.057
26.70
-140
NaN
62
1
1
URANUS
86.8000
51118
1271
8.7
21.3
-17.2
17.2
2872.500
2741.300
3003.600
30589.0
6.8
0.8
0.046
97.80
-195
NaN
27
1
1
NEPTUNE
102.0000
49528
1638
11.0
23.5
16.1
16.1
4495.100
4444.500
4545.700
59800.0
5.4
1.8
0.011
28.30
-200
NaN
14
1
1
PLUTO
0.0131
2390
1830
0.6
1.1
-153.3
153.3
5870.000
4435.000
7304.300
90588.0
4.7
17.2
0.244
122.50
-225
0.00
5
0
NaN
In [46]:
planets.dtypes
Out[46]:
mass float64
diameter int64
density int64
gravity float64
escape_velocity float64
rotation_period float64
length_of_day float64
distance_from_sun float64
perihelion float64
aphelion float64
orbital_period float64
orbital_velocity float64
orbital_inclination float64
orbital_eccentricity float64
axial_tilt float64
mean_temperature int64
surface_pressure float64
number_of_moons int64
is_ring_system float64
has_global_magnetic_field float64
dtype: object
One can also directly import a planet which will be a pandas Series and is in fact just a column of above table.
In [40]:
from planetarypy.constants import mars
mars
Out[40]:
mass 0.642
diameter 6792.000
density 3933.000
gravity 3.700
escape_velocity 5.000
rotation_period 24.600
length_of_day 24.700
distance_from_sun 227.900
perihelion 206.600
aphelion 249.200
orbital_period 687.000
orbital_velocity 24.100
orbital_inclination 1.900
orbital_eccentricity 0.094
axial_tilt 25.200
mean_temperature -65.000
surface_pressure 0.010
number_of_moons 2.000
is_ring_system 0.000
has_global_magnetic_field 0.000
Name: MARS, dtype: float64
Content source: michaelaye/planetpy
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