delete the entire row while remove duplicates with python'

Add Answer

Doubtful Dugong answered on February 4, 2020 Popularity 10/10 Helpfulness 6/10

answer delete the entire row while remove duplicates with python'

related Remove duplicates with pandas

related remove duplicate row in df

related remove duplicates python

related remove duplicates function python

related remove duplicates in dataframe by index python

related python remove duplicates

related .drop duplicates()

related python remove duplicates

related delete duplicate values pandas

delete the entire row while remove duplicates with python'

Comment

result_df = df.drop_duplicates(subset=['Column1', 'Column2'], keep='first')
print(result_df)

Popularity 10/10 Helpfulness 6/10 Language python

Source: stackoverflow.com

Tags: python row

Link to this answer
Share Copy Link

Contributed on Mar 04 2022

Doubtful Dugong

0 Answers Avg Quality 2/10

Closely Related Answers

Remove duplicates with pandas

Comments(1)

import pandas as pd

# Drop all duplicates in the DataFrame
df = df.drop_duplicates()

# Drop all duplicates in a specific column of the DataFrame
df = df.drop_duplicates(subset = "column")

# Drop all duplicate pairs in DataFrame
df = df.drop_duplicates(subset = ["column", "column2"])

# Display DataFrame
print(df)

Popularity 10/10 Helpfulness 10/10 Language python

Source: www.datacamp.com

Tags: pandas pa

Link to this answer
Share Copy Link

Contributed on Apr 29 2022

Elisabeth Engering

0 Answers Avg Quality 2/10

remove duplicate row in df

Comment

# Below are quick example
# keep first duplicate row
df2 = df.drop_duplicates()

# Using DataFrame.drop_duplicates() to keep first duplicate row
df2 = df.drop_duplicates(keep='first')

# keep last duplicate row
df2 = df.drop_duplicates( keep='last')

# Remove all duplicate rows 
df2 = df.drop_duplicates(keep=False)

# Delete duplicate rows based on specific columns 
df2 = df.drop_duplicates(subset=["Courses", "Fee"], keep=False)

# Drop duplicate rows in place
df.drop_duplicates(inplace=True)

# Using DataFrame.apply() and lambda function 
df2 = df.apply(lambda x: x.astype(str).str.lower()).drop_duplicates(subset=['Courses', 'Fee'], keep='first')

Popularity 10/10 Helpfulness 7/10 Language python

Source: Grepper

Tags: python py

Link to this answer
Share Copy Link

Contributed on Aug 19 2020

Sachin

0 Answers Avg Quality 2/10

remove duplicates python

Comment

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

Popularity 10/10 Helpfulness 5/10 Language python

Source: Grepper

Tags: python py

Link to this answer
Share Copy Link

Contributed on May 26 2020

Important Iguana

0 Answers Avg Quality 2/10

remove duplicates function python

Comment

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

Popularity 10/10 Helpfulness 5/10 Language python

Source: Grepper

Tags: python py

Link to this answer
Share Copy Link

Contributed on Sep 22 2020

StupidGamedev

0 Answers Avg Quality 2/10

remove duplicates in dataframe by index python

Comment

# Remove by index
df = df[df.index.duplicated(keep='first')]

# Other methods to remove duplicates
import pandas as pd

df = df.drop_duplicates()

df = df.drop_duplicates(subset = "column")

df = df.drop_duplicates(subset = ["column", "column2"])

Popularity 10/10 Helpfulness 5/10 Language python

Source: stackoverflow.com

Tags: dataframe data

Link to this answer
Share Copy Link

Contributed on Sep 18 2022

JJSSEEXX

0 Answers Avg Quality 2/10

python remove duplicates

Comment

word = input().split()

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

Popularity 10/10 Helpfulness 4/10 Language python

Source: Grepper

Tags: python py

Link to this answer
Share Copy Link

Contributed on Feb 04 2020

Relieved Ray

0 Answers Avg Quality 2/10

.drop duplicates()

Comment

df = pd.DataFrame({"Date": ["2022", "2022", "2021", "2021", "2020", "2020"], "Time": ["20:00", "20:00", "20:00", "21:00", "22:00", "22:00"]})
df.drop_duplicates()

#output
#	Date	Time
#	2022	20:00
#	2021	20:00
#	2021	21:00
#	2020	22:00

Popularity 9/10 Helpfulness 3/10 Language python

Source: Grepper

Tags: python py

Link to this answer
Share Copy Link

Contributed on Sep 02 2022

Pleasant Peccary

0 Answers Avg Quality 2/10

python remove duplicates

Comment

if mylist:
    mylist.sort()
    last = mylist[-1]
    for i in range(len(mylist)-2, -1, -1):
        if last == mylist[i]:
            del mylist[i]
        else:
            last = mylist[i]
# Quicker if all elements are hashables:
mylist = list(set(mylist))

Popularity 10/10 Helpfulness 3/10 Language python

Source: Grepper

Tags: python py

Link to this answer
Share Copy Link

Contributed on Feb 16 2021

VasteMonde

0 Answers Avg Quality 2/10

delete duplicate values pandas

Comment

data.loc[data['email'].duplicated(keep=False),:]

Popularity 9/10 Helpfulness 3/10 Language whatever

Source: openclassrooms.com

Tags: pandas pa

Link to this answer
Share Copy Link

Contributed on Feb 11 2023

Brave Bat

0 Answers Avg Quality 2/10

delete the entire row while remove duplicates with python'

Contents

More Related Answers

delete the entire row while remove duplicates with python'

Closely Related Answers

Remove duplicates with pandas

remove duplicate row in df

remove duplicates python

remove duplicates function python

remove duplicates in dataframe by index python

python remove duplicates

.drop duplicates()

python remove duplicates

delete duplicate values pandas

Grepper

Documentation

Social

Legal

Contact

Oops, You will need to install Grepper and log-in to perform this action.