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}pandas groupby column count distinct values
# Pandas group by a column looking at the count unique/count distinct values of another column
df.groupby('param')['group'].nunique()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: int64how to count number of unique values in a column python
pd.value_counts(df.Account_Type)
Gold 3
Platinum 1
Name: Account_Type, dtype: int64values of unique from dataframe with count
data = df.groupby('ColumnName')['IDColumnName'].nunique()
print(data)Copyright © 2021 Codeinu
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