Answers for "all unique values in a column pandas"

get list of unique values in pandas column

a = df['column name'].unique() #returns a list of unique values

dataframe unique values in each column

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

count unique values pandas

df['hID'].nunique()
5

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()

unique rows in dataframe

In [33]: df[df.columns[df.apply(lambda s: len(s.unique()) > 1)]]
Out[33]: 
   A  B
0  0  a
1  1  b
2  2  c
3  3  d
4  4  e