dataframe unique values code example

Example 1: pandas unique values in column

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

Example 2: unique values in dataframe colume

df['Column_name'].value_counts()

Example 3: dataframe unique values in each column

for col in df:
    print(df[col].unique())

Example 4: pandas distinct

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

Example 5: python - subset dataframe based on unique value of a clumn

# Keep first duplicate value
my_df = my_df.drop_duplicates(subset=['my_var'])

# Keep last duplicate value
my_df = my_df.drop_duplicates(subset=['my_var'], keep='last')

# Remove all duplicate values
my_df = my_df.drop_duplicates(subset=['my_var'], keep=False)

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()