Table of Contents

In [2]:

    

from pyciss import meta


    

In [3]:

    

# test_get_meta_df
df = meta.get_meta_df()
assert df.index[0] == "N1467345444"
assert df.iloc[-1]['is_lit'] == False


    

In [4]:

    

# test_get_order
# This fishes out the resonance order from the identifier string
# The order is defined as the delta between 1st and 2nd number.
in_ = "Mimas 4:1"
expected = 3
assert meta.get_order(in_) == expected


    

In [5]:

    

# test_get_resonances
# test if the reading of resonance file works
df = meta.get_resonances()
assert df.iloc[0]['name'] == 'Titan 2:0'
assert df.iloc[-1]['order'] == 3


    

In [6]:

    

# test_get_prime_resonances
# test if this filters for prime resonances (order = 1)
df = meta.get_prime_resonances()
assert meta.get_order(df.iloc[0]['name']) == 1
assert meta.get_order(df.iloc[-1]['name']) == 1


    

In [7]:

    

# test_get_janus_epimetheus_resonances
# read higher precision Janus and Epimetheus resonance file
df = meta.get_janus_epimetheus_resonances()
assert df.iloc[0]['name'] == 'Janus1 2:1'
assert df.iloc[-1]['name'] == 'Epimetheus2 15:13'


    

In [8]:

    

df.head()


    

    
Out[8]:






  

    

      

      
moon
      
reson
      
radius
      
order
      
name
    
  
  

    

      
0
      
Janus1
      
2:1
      
96235.150437
      
1
      
Janus1 2:1
    
    

      
1
      
Janus1
      
3:1
      
74051.968798
      
2
      
Janus1 3:1
    
    

      
2
      
Janus1
      
3:2
      
115943.966750
      
1
      
Janus1 3:2
    
    

      
3
      
Janus1
      
4:2
      
95979.967411
      
2
      
Janus1 4:2
    
    

      
4
      
Janus1
      
4:3
      
125250.859597
      
1
      
Janus1 4:3
    
  

In [9]:

    

# test_get_prime_jan_epi
# read and filter for prime resonances of Janus and Epimetheus
df = meta.get_prime_jan_epi()
assert df.iloc[0]['name'] == 'Janus1 2:1'
assert df.iloc[-1]['name'] == 'Epimetheus2 7:6'


    

In [10]:

    

# test_get_all_resonances
# read all moon resonances and merge them into one
df = meta.get_all_resonances()
assert df.iloc[0]['name'] == 'Titan 1:0'
assert df.iloc[-1]['name'] == 'Mimas 3:2'


    

In [11]:

    

import pkg_resources as pr


    

In [12]:

    

pr.resource_filename('pyciss', 'data/soliton_prediction_parameters.csv')


    

    
Out[12]:





'/Users/klay6683/Dropbox/src/pyciss/pyciss/data/soliton_prediction_parameters.csv'

In [ ]: