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# 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())
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# 10. Getting unique names of values in a column
df['Airline'].unique()
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import pandas as pd
# Assuming the dataframe is already loaded or created
df = pd.DataFrame({'column_name': [1, 2, 3, 3, 4, 4]})
# Finding the number of unique values in a column
unique_values = df['column_name'].nunique()
print("Number of unique values:", unique_values)
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# get the unique values (rows)
df.drop_duplicates()
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# 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())