/Python/Pandas count distinct values in column

Pandas count distinct values in column

Return count of unique values pandas

#TO count repetition of each unique values(to find How many times the same-
# unique value is appearing in the data)

item_counts = df["Your_Column"].value_counts()
#Returns Dictionary => {"Value_name" : number_of_appearences}

How to get distinct value in a column dataframe in python

df.column.unique()

Source: chrisalbon.com

How to count number of unique values in a column python

pd.value_counts(df.Account_Type)

Gold        3
Platinum    1
Name: Account_Type, dtype: int64

Source: stackoverflow.com

Values of unique from dataframe with count

data = df.groupby('ColumnName')['IDColumnName'].nunique()
print(data)

Get count of unique values in column pandas

df = df.groupby('domain')['ID'].nunique()

print (df)
domain
'facebook.com'    1
'google.com'      1
'twitter.com'     2
'vk.com'          3
Name: ID, dtype: int64

Source: stackoverflow.com

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

-1

Source: stackoverflow.com

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