how to get distinct value in a column dataframe in python
df.column.unique()how to get distinct value in a column dataframe in python
df.column.unique()distinct rows in this DataFrame
# distinct rows in this DataFrame
df.distinct().count()
# 2pandas distinct
>gapminder['continent'].unique()
array(['Asia', 'Europe', 'Africa', 'Americas', 'Oceania'], dtype=object)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())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()Copyright © 2021 Codeinu
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