def test_unifrac_beta_diversity_clean_2():
"""test function to check that metadata and PC results were merged/both present in output"""
unifrac_metadata_to_plot=unifrac_beta_diversity_clean('../data')
if 'body-site' and 'PC1' in unifrac_metadata_to_plot.columns:
result = 1
else:
result = 0
assert result == 1, "dataframe merge issues: missing metadata OR PC1"
def test_unifrac_beta_diversity_clean_4():
"""test function to check that beta diversity metric PCOA analyses are not identical"""
bray_metadata_to_plot = bray_beta_diversity_clean('../data')
unifrac_metadata_to_plot = unifrac_beta_diversity_clean('../data')
false = bray_metadata_to_plot.iloc[1,
9] == unifrac_metadata_to_plot.iloc[1,
9]
assert false == False, "bray curtis equals weighted unifrac"
def test_unifrac_beta_diversity_clean_3():
"""test function to check that the metadata is the same between both beta diversity functions"""
bray_metadata_to_plot=bray_beta_diversity_clean('../data')
unifrac_metadata_to_plot=unifrac_beta_diversity_clean('../data')
assert unifrac_metadata_to_plot['body-site'].all() == bray_metadata_to_plot['body-site'].all()
def test_unifrac_beta_diversity_clean_1():
"""test function to check output is of type pandas dataframe"""
unifrac_metadata_to_plot=unifrac_beta_diversity_clean('../data')
assert isinstance(unifrac_metadata_to_plot,pd.core.frame.DataFrame),"not returning df"