Dirk Colbry's solution for installing Seaborn on JupyterHub

installingSeabornOnJupyterhub.py

%matplotlib inline

try:
   import seaborn as sns
   print('seaborn is already installed')
except:
   try:
       import sys
       sys.path
       sys.path.insert(0,'./packages')
       import seaborn as sns
       print('seaborn is installed in packages directory')
   except:
       try:
           print('seaborn not found in local packages. Installing...')
           !pip install -t ./packages seaborn
           import seaborn as sns
       except:
           print('ERROR: unable to install seaborn')

sns.set(style="ticks")

# Load the example dataset for Anscombe's quartet
df = sns.load_dataset("anscombe")

# Show the results of a linear regression within each dataset
sns.lmplot(x="x", y="y", col="dataset", hue="dataset", data=df,
          col_wrap=2, ci=None, palette="muted", size=4,
          scatter_kws={"s": 50, "alpha": 1})