def show_uniques(data: pd.DataFrame, cut: int = 10, columns: list = None) -> None:
"""Display the unique values for each column of `data`.
Parameters
----------
data : DataFrame
DataFrame for viewing unique values.
cut : int, optional
Show only columns with this many or fewer uniques, by default 10.
columns : list, optional
Columns to show, by default None. Ignores `cut` if specified.
"""
if columns:
data = data.loc[:, columns]
elif cut:
data = data.loc[:, data.nunique() <= cut]
cols = [pd.Series(y.dropna().unique(), name=x) for x, y in data.iteritems()]
table = pd.concat(cols, axis=1)
table = HTML(table.to_html(index=False, na_rep="", notebook=True))
display(table)
def printResults(results):
results = HTML(results.to_html(escape=False))
return results
