Observe Signal Classes

In this notebook, we'll do a very simple thing: Download the various file lists and use Pandas to see how many files we have for each signal classification.

This is just a simple exercise to show you what are in the data

File Lists



In [2]:

    
import pandas as pd

basic_df=pd.read_csv('public_list_basic_v2_26may_2017.csv')



In [3]:

    
basic_df.head()









    Out[3]:







  
    
      
      UUID
      SIGNAL_CLASSIFICATION
    
  
  
    
      0
      b1cc342f-eae4-442b-91de-10c9a444072e
      narrowband
    
    
      1
      d83f4c12-0f5d-4be0-a268-c27812a126e4
      narrowband
    
    
      2
      8add8be2-2fb9-446a-8ff9-e4f4a3931bea
      narrowband
    
    
      3
      ad580bf4-1568-4f8f-8b58-319fd63c1da3
      narrowband
    
    
      4
      4ffe0886-ebe7-4e7a-b209-9f86a1de9896
      narrowband



In [5]:

    
basic_df.groupby(['SIGNAL_CLASSIFICATION']).count()









    Out[5]:






  
    
      
      UUID
    
    
      SIGNAL_CLASSIFICATION
      
    
  
  
    
      narrowband
      1000
    
    
      narrowbanddrd
      1000
    
    
      noise
      1000
    
    
      squiggle
      1000



In [6]:

    
s=requests.get(primary_full).content
basic_df=pd.read_csv(io.StringIO(s.decode('utf-8')))
basic_df.groupby(['SIGNAL_CLASSIFICATION']).count()









    Out[6]:






  
    
      
      UUID
    
    
      SIGNAL_CLASSIFICATION
      
    
  
  
    
      brightpixel
      20000
    
    
      narrowband
      20000
    
    
      narrowbanddrd
      20000
    
    
      noise
      20000
    
    
      squarepulsednarrowband
      20000
    
    
      squiggle
      20000
    
    
      squigglesquarepulsednarrowband
      20000



In [7]:

    
s=requests.get(primary_medium).content
basic_df=pd.read_csv(io.StringIO(s.decode('utf-8')))
basic_df.groupby(['SIGNAL_CLASSIFICATION']).count()









    Out[7]:






  
    
      
      UUID
    
    
      SIGNAL_CLASSIFICATION
      
    
  
  
    
      brightpixel
      5000
    
    
      narrowband
      5000
    
    
      narrowbanddrd
      5000
    
    
      noise
      5000
    
    
      squarepulsednarrowband
      5000
    
    
      squiggle
      5000
    
    
      squigglesquarepulsednarrowband
      5000



In [8]:

    
s=requests.get(primary_small).content
basic_df=pd.read_csv(io.StringIO(s.decode('utf-8')))
basic_df.groupby(['SIGNAL_CLASSIFICATION']).count()









    Out[8]:






  
    
      
      UUID
    
    
      SIGNAL_CLASSIFICATION
      
    
  
  
    
      brightpixel
      1000
    
    
      narrowband
      1000
    
    
      narrowbanddrd
      1000
    
    
      noise
      1000
    
    
      squarepulsednarrowband
      1000
    
    
      squiggle
      1000
    
    
      squigglesquarepulsednarrowband
      1000



In [ ]:

	UUID	SIGNAL_CLASSIFICATION
0	b1cc342f-eae4-442b-91de-10c9a444072e	narrowband
1	d83f4c12-0f5d-4be0-a268-c27812a126e4	narrowband
2	8add8be2-2fb9-446a-8ff9-e4f4a3931bea	narrowband
3	ad580bf4-1568-4f8f-8b58-319fd63c1da3	narrowband
4	4ffe0886-ebe7-4e7a-b209-9f86a1de9896	narrowband

	UUID
SIGNAL_CLASSIFICATION
narrowband	1000
narrowbanddrd	1000
noise	1000
squiggle	1000

	UUID
SIGNAL_CLASSIFICATION
brightpixel	20000
narrowband	20000
narrowbanddrd	20000
noise	20000
squarepulsednarrowband	20000
squiggle	20000
squigglesquarepulsednarrowband	20000

	UUID
SIGNAL_CLASSIFICATION
brightpixel	5000
narrowband	5000
narrowbanddrd	5000
noise	5000
squarepulsednarrowband	5000
squiggle	5000
squigglesquarepulsednarrowband	5000