In [1]:

    

# At the beginning of the notebook
import logging
import sys
logger = logging.getLogger('planet4')
ch = logging.StreamHandler(sys.stderr)
# fmt = logging.Formatter('%(name)s - %(message)s')
fmt = logging.Formatter('%(message)s')
ch.setFormatter(fmt)
logger.addHandler(ch)


    

In [3]:

    

logger.setLevel(logging.DEBUG)


    

In [2]:

    

# setup
%matplotlib nbagg
import seaborn as sns
sns.set_context('notebook')
from planet4 import plotting, io, markings, clustering
from pathlib import Path


    

In [21]:

    

id_ = 'bnb'
# id_ = 'c0b'
# id_ = 'c0q'


    

In [12]:

    

io.PathManager('br5').obsid


    

    
Out[12]:





'ESP_012076_0945'

In [22]:

    

plotting.plot_raw_fans(id_)


    

In [23]:

    

plotting.plot_raw_blotches(id_)


    

In [24]:

    

plotting.plot_clustered_blotches(id_)


    

    















    












    
Out[24]:





8

In [9]:

    

plotting.plot_clustered_fans(id_)


    

    















    












    
Out[9]:





2

In [9]:

    

plotting.blotches_all(id_)


    

    















    












    




Entering markings.plot_objects
Received 106 objects to plot.
Plotting background image.
Found image in cache.
Entering obsid setting.
Obsid found: ESP_012858_0855
Entering markings.plot_objects
Received 9 objects to plot.
Plotting background image.
Found image in cache.

In [10]:

    

plotting.fans_all(id_)


    

    















    












    




Entering markings.plot_objects
Received 230 objects to plot.
Plotting background image.
Found image in cache.
Entering obsid setting.
Obsid found: ESP_012858_0855
Entering markings.plot_objects
Received 28 objects to plot.
Plotting background image.
Found image in cache.

In [22]:

    

db = io.DBManager()


    

In [24]:

    

image_names = io.get_image_names_from_db(db.dbname)


    

In [25]:

    

len(image_names)


    

    
Out[25]:





221

In [20]:

    

plotting.plot_finals('bnb')


    

In [18]:

    

pm = io.PathManager('bz7')


    

In [19]:

    

pm.path_so_far


    

    




Entering obsid setting.
Obsid found: ESP_012858_0855






    
Out[19]:





PosixPath('/Users/klay6683/Dropbox/data/planet4/clustering/ESP_012858_0855')

In [22]:

    

pm2 = io.PathManager('bz7', datapath=pm.path_so_far.parent)


    

In [23]:

    

pm2.path_so_far


    

    




Entering obsid setting.
Obsid found: ESP_012858_0855






    
Out[23]:





PosixPath('/Users/klay6683/Dropbox/data/planet4/clustering/ESP_012858_0855')

In [20]:

    

plotting.plot_image_id_pipeline(id_, save=True)


    

    




Entering obsid setting.
Obsid found: ESP_013113_0985
Entering obsid setting.
Obsid found: ESP_013113_0985






    















    












    




Found image in cache.
Found image in cache.
Found image in cache.
Found image in cache.
Found image in cache.
Found image in cache.
Entering markings.plot_objects
Received 161 objects to plot.
Plotting background image.
Found image in cache.
Entering markings.plot_objects
Received 77 objects to plot.
Plotting background image.
Found image in cache.
Entering obsid setting.
Obsid found: ESP_013113_0985
Entering markings.plot_objects
Received 8 objects to plot.
Plotting background image.
Found image in cache.
Entering obsid setting.
Obsid found: ESP_013113_0985
Entering markings.plot_objects
Received 5 objects to plot.
Plotting background image.
Found image in cache.
Entering obsid setting.
Obsid found: ESP_013113_0985
Entering markings.plot_objects
Received 6 objects to plot.
Plotting background image.
Found image in cache.
Entering markings.plot_objects
Received 4 objects to plot.
Plotting background image.
Found image in cache.

In [8]:

    

a1 = np.array([252.3, 243.9])
a1.shape = (1,2)
a2 = np.array([267.3, 249.4])
a2.shape = (1,2)


    

In [9]:

    

from scipy.spatial.distance import cdist


    

In [10]:

    

cdist(a1, a2)


    

    
Out[10]:





array([[ 15.97654531]])

In [ ]:

    

plotting.plot_raw_blotches(id_)


    

In [ ]:

    

plotting.plot_clustered_fans(id_)


    

In [ ]:

    

plotting.plot_clustered_blotches(id_)


    

In [ ]:

    

plotting.plot_finals(id_)