Answers for "pandas dataframe column with different values"

1

pandas unique values to list

df.groupby('param')['column'].nunique().sort_values(ascending=False).unique().tolist()
Posted by: Guest on May-15-2020
0

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
Posted by: Guest on June-24-2020

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