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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}
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count unique values in pandas column

df['column_name'].value_counts()
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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
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Count unique values Pandas

df = df.groupby('domain')['ID'].nunique()
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Return a Series containing counts of unique values.

print(df["os"].value_counts())
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count unique values pandas

df['hID'].nunique()
5
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