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: int64
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: int64
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()
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