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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
 The goal of this notebook is to investigate/justify why some samples "look" weird when summing across contigs.
Step1:  Load Data
Step2:  Look into samples that have "too high" of Burkold.
See Rep 1 High O2 weeks 8, 10
Step3:  Link to Elviz Data for 55_HOW8 (High O2 Rep 1 week 8)
Step4:  Link to Elviz Data for 79_HOW10 (High O2 Rep 1 week 10)
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Python Code:
import matplotlib as mpl
% matplotlib inline
import pandas as pd
import seaborn as sns
from IPython.display import IFrame
import elviz_utils
Explanation: The goal of this notebook is to investigate/justify why some samples "look" weird when summing across contigs.
End of explanation
reduced = pd.read_csv('../results/reduced_data--all_phylogeny_remains.csv')
sample_info = elviz_utils.read_sample_info('../')
sample_info.head()
Explanation: Load Data
End of explanation
IFrame('./plot_copies/160330_Order-Burkholderiales_Methylophilales_Methylococcales--Phylum-Bacteroidetes--rep.pdf', 
       width=800, height=300)
ls "../plots/mixed_phylogeny/"
sample_info[(sample_info['rep'] == 1) & 
            (sample_info['oxy'] == 'High') & 
            (sample_info['week'].isin([8, 10]))]
Explanation: Look into samples that have "too high" of Burkold.
See Rep 1 High O2 weeks 8, 10
End of explanation
reduced[(reduced['Order']== 'Burkholderiales') &(reduced['ID']=='55_HOW8')]
Explanation: Link to Elviz Data for 55_HOW8 (High O2 Rep 1 week 8):
http://genome.jgi.doe.gov/viz/plot?jgiProjectId=1056121
End of explanation
reduced[(reduced['Order']== 'Burkholderiales') &(reduced['ID']=='79_HOW10')]
Explanation: Link to Elviz Data for 79_HOW10 (High O2 Rep 1 week 10):
http://genome.jgi.doe.gov/viz/plot?jgiProjectId=1056169
End of explanation
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