python unique values in column 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: unique values in dataframe colume

df['Column_name'].value_counts()

Example 4: pandas unique values to list

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

Example 5: 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

Example 6: unique entries in column pandas

# Import modules
import pandas as pd

# Set ipython's max row display
pd.set_option('display.max_row', 1000)

# Set iPython's max column width to 50
pd.set_option('display.max_columns', 50)
# Create an example dataframe
data = {'name': ['Jason', 'Molly', 'Tina', 'Jake', 'Amy'], 
        'year': [2012, 2012, 2013, 2014, 2014], 
        'reports': [4, 24, 31, 2, 3]}
df = pd.DataFrame(data, index = ['Cochice', 'Pima', 'Santa Cruz', 'Maricopa', 'Yuma'])
df

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