PYTHON

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 in pandas column

df['column_name'].value_counts()

pandas get column values distinct

import pandas as pd

colors = {'color': ['green', 'blue', 'blue', 'red', 'green']}
df = pd.DataFrame.from_dict(colors)

print(df['color'].unique())

How to Find Unique Values in a Column in Pandas

# import pandas library
import pandas as pd

# create pandas DataFrame
df = pd.DataFrame({'fruits': ['orange', 'mango', 'apple', 'grapes', 'orange', 'mango'],
                   'price': ['40', '80', '30', '40', '30', '80'],
                   'quantity': ['200', '300', '300', '400', '200', '800']
                   })

# get the unique value of column fruits
print(df.fruits.unique())

how to get unique value of all columns in pandas

print(df.apply(lambda col: col.unique()))

Getting unique values in a column

# 10. Getting unique names of values in a column
df['Airline'].unique()

dataframe python unique values rows

# get the unique values (rows)
df.drop_duplicates()

Find unique values in all columns in Pandas DataFrame

# import pandas library
import pandas as pd

# create pandas DataFrame
df = pd.DataFrame({'fruits': ['orange', 'mango', 'apple', 'grapes', 'orange', 'mango'],
                   'price': ['40', '80', '30', '40', '30', '80'],
                   'quantity': ['200', '300', '300', '400', '200', '800']
                   })

# get the unique value of all columns
for col in df:
  print(df			
							
		.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

pandas get number unique values in column

df["Your_Column"].nunique()