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 count number of unique values in a column python
pd.value_counts(df.Account_Type)
Gold 3
Platinum 1
Name: Account_Type, dtype: int64python count number of unique elements in a list
# Basic syntax:
len(set(my_list))
# By definition, sets only contain unique elements, so when the list
# is converted to a set all duplicates are removed.
# Example usage:
my_list = ['so', 'so', 'so', 'many', 'duplicated', 'words']
len(set(my_list))
--> 4
# Note, list(set(my_list)) is a useful way to return a list containing
# only the unique elements in my_listcount unique values in python
words = ['a', 'b', 'c', 'a']
unique_words = set(words) # == set(['a', 'b', 'c'])
unique_word_count = len(unique_words) # == 3Copyright © 2021 Codeinu
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