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Pandas distinct

How to get distinct value in a column dataframe in python

df.column.unique()

9

Source: chrisalbon.com

Pandas distinct

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

2

Source: cmdlinetips.com

Pandas unique values to list

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

1

Distinct rows in this DataFrame

# distinct rows in this DataFrame

df.distinct().count()
# 2

0

Source: spark.apache.org

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())

0

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

-1

Source: spark.apache.org

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