Answers for "pandas distinct values in column"

Python

how to get distinct value in a column dataframe in python

df.column.unique()

Posted by: Guest on May-30-2020

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dataframe unique values in each column

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

Posted by: Guest on August-20-2020

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distinct rows in this DataFrame

# distinct rows in this DataFrame

df.distinct().count()
# 2

Posted by: Guest on April-20-2020

Source

pandas distinct

>gapminder['continent'].unique()
array(['Asia', 'Europe', 'Africa', 'Americas', 'Oceania'], dtype=object)

Posted by: Guest on February-24-2020

Source

pandas unique values to list

df.groupby('param')['column'].nunique().sort_values(ascending=False).unique().tolist()

Posted by: Guest on May-15-2020

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())

Posted by: Guest on August-31-2021

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