how to get distinct value in a column dataframe in python
df.column.unique()how to get distinct value in a column dataframe in python
df.column.unique()get count of unique values in column pandas
df = df.groupby('domain')['ID'].nunique()
print (df)
domain
'facebook.com' 1
'google.com' 1
'twitter.com' 2
'vk.com' 3
Name: ID, dtype: int64values of unique from dataframe with count
data = df.groupby('ColumnName')['IDColumnName'].nunique()
print(data)how to count unique values in a column dataframe in python
dataframe.column.nunique()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 columnsCopyright © 2021 Codeinu
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