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In [1]:

    
import numpy as np
import pandas as pd
import cec_utils as ut
from sklearn.cluster import KMeans



In [2]:

    
eng = ut.dbconfig(ut.user, ut.passwd, ut.dbname)
rawTreeCounts = pd.read_sql('select ceil(dead_trees_acre)::int dt_ac from lemmav2.lemma_total limit 100000', eng)



In [7]:

    
reload(ut)









    Out[7]:





<module 'cec_utils' from 'cec_utils.py'>



In [40]:

    
rawTre









    Out[40]:





dt_ac    20.310265
dtype: float64



In [8]:

    
ut.clusterFRCSVariable(rawTreeCounts)









    Out[8]:





array([[   6.65790723],
       [  48.07872079],
       [ 122.90740741],
       [  21.99254261]])



In [ ]:

    
ut.clusterFRCSVariable(rawTreeCounts)



In [ ]:

    
runs = pd.