get list of unique values in pandas column
a = df['column name'].unique() #returns a list of unique valuesget list of unique values in pandas column
a = df['column name'].unique() #returns a list of unique valuesHow 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())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())count unique values pandas
df['hID'].nunique()
5python unique values from pandas.series of sets
df['category'].explode().value_counts()Copyright © 2021 Codeinu
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