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}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: int64dataframe number of unique rows
1
# get the unique values (rows) by retaining last row
2
df.drop_duplicates(keep='last')counting unique values python
df.loc[df['mID']=='A','hID'].agg(['nunique','count','size'])Copyright © 2021 Codeinu
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