pandas get distinct values code example

Example 1: how to get distinct value in a column dataframe in python

df.column.unique()

Example 2: pandas unique values in column

#List unique values in the df['name'] column
df.name.unique()

Example 3: pandas distinct

>gapminder['continent'].unique()
array(['Asia', 'Europe', 'Africa', 'Americas', 'Oceania'], dtype=object)

Example 4: pandas count distinct values in a column

Series.value_counts(self, normalize=False, sort=True, ascending=False, bins=None, dropna=True)

Example 5: pandas unique values to list

df.groupby('param')['column'].nunique().sort_values(ascending=False).unique().tolist()

Example 6: python extract values that have different values in a column

df = pd.DataFrame({'author':['a', 'a', 'b'], 'products':['sr1', 'sr2', 'sr2']}) # Create df

group = df.groupby('author') # Group by author used as index
df2 = group.apply(lambda x: x['subreddit'].unique()) # List of all product per author
df2 = df2.apply(pd.Series) # Split products in multiple columns