drop_duplicates in python code example

Example 1: drop duplicates pandas first column

import pandas as pd 
  
# making data frame from csv file 
data = pd.read_csv("employees.csv") 
  
# sorting by first name 
data.sort_values("First Name", inplace = True) 
  
# dropping ALL duplicte values 
data.drop_duplicates(subset ="First Name",keep = False, inplace = True) 
  
# displaying data 
print(data)

Example 2: remove duplicates function python

def remove_dupiclates(list_):
	new_list = []
	for a in list_:
    	if a not in new_list:
        	new_list.append(a)
	return new_list

Example 3: remove duplicates python

mylist = ["a", "b", "a", "c", "c"]
mylist = list(dict.fromkeys(mylist))

Example 4: remove duplicate columns python dataframe

df = df.loc[:,~df.columns.duplicated()]

Example 5: python remove duplicates

word = input().split()

for i in word:
  if word.count(i) > 1:
    word.remove(i)

Example 6: Return a new DataFrame with duplicate rows removed

# Return a new DataFrame with duplicate rows removed

from pyspark.sql import Row
df = sc.parallelize([
  Row(name='Alice', age=5, height=80),
  Row(name='Alice', age=5, height=80),
  Row(name='Alice', age=10, height=80)]).toDF()
df.dropDuplicates().show()
# +---+------+-----+
# |age|height| name|
# +---+------+-----+
# |  5|    80|Alice|
# | 10|    80|Alice|
# +---+------+-----+

df.dropDuplicates(['name', 'height']).show()
# +---+------+-----+
# |age|height| name|
# +---+------+-----+
# |  5|    80|Alice|
# +---+------+-----+