Answers for "print distinct values in pandas 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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pandas distinct

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

Posted by: Guest on February-24-2020

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if df[col].unique()==2

df_dict = dict(zip([i for i in df.columns] , [pd.DataFrame(df[i].unique(), columns=[i]) for i in df.columns]))

Posted by: Guest on October-15-2020

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-1

Returns a new DataFrame containing the distinct rows in this DataFrame

# Returns a new DataFrame containing the distinct rows in this DataFrame

df.ditinct().count()
# 2

Posted by: Guest on April-07-2020

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pandas count distinct values in column

#column name ISSDTM
pd.to_datetime(df.ISSDTM, errors='coerce').dt.year

#result
0    2013
1    2013
2    2009
3    2009
Name: ISSDTM, dtype: int64

Posted by: Guest on May-01-2021

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