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import squarify
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+ def get_species (df ):
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+ """
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+ Calculate the number of unique species in the given DataFrame.
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+
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+ Parameters:
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+ df (pandas.DataFrame): The DataFrame containing the data.
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+
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+ Returns:
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+ int: The number of unique species present in the 'species' column of the DataFrame.
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+ """
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+ return len (df ["species" ].unique ())
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+
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+
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def __get_md5_coverage (df ):
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"""
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Calculate the average MD5256 coverage from a DataFrame.
@@ -1339,9 +1352,3 @@ def report():
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get_projects_treemap (df )
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return report
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-
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-
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- def species_num ():
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- #returns number of unique species. currently needs fixing because of capitalization differences
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- return len (df ['species' ].unique ())
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-
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