Seaborn pairplot

pairplot.py

def pairplot(df,strain,hue=None,view='show'):
    #Pairplot http://seaborn.pydata.org/generated/seaborn.pairplot.html
    #hue: color plot by 'condition' (on). Default None (off)
    print 'Generating pairplot for %s...'%strain
    cols = list(df.columns)
    cols.remove('concentration') #No need to clutter
    if type(df.condition.iloc[0]) != str: #Apply condition name
        df.condition = df.condition.apply(lambda x: code[x])# code={0:'Wm',1:'Wc',2:'Wmc'}
    sns.pairplot(df[cols][df.strain==strain],hue=hue)
    plt.title(strain)
    if view == 'show':
        plt.show()
    else:
        plt.savefig('pairplots/%s_pairplot'%strain)
        plt.close()