/Python/Pandas count unique values in column

Pandas count unique 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}

Count unique pandas

df['column'].nunique()

Dataframe unique values in each column

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

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 unique values in column

df.nunique()

Similar codes

-1 vote353 views1 answer
How to save frames in form of video in opencv python
Python
6 votes314 views2 answers
Migrate data django
Python
0 vote314 views1 answer
Python get part of jason from string
Python
6 votes347 views1 answer
How print ?
Python
0 vote344 views1 answer
Numpy diag()
Python
2 votes384 views1 answer
Django get current date
Python Django
0 vote317 views1 answer
"detail": "Method \"POST\" not allowed." django
Python
0 vote312 views1 answer
What is iterator in python
Python
2 votes352 views6 answers
Scikit learn
Python
4 votes343 views2 answers
Python get appdata path
Python