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df index drop duplicates

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Attractive Alpaca answered on August 17, 2020 Popularity 10/10 Helpfulness 3/10

answer df index drop duplicates

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df index drop duplicates

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df3 = df3[~df3.index.duplicated(keep='first')]

Popularity 10/10 Helpfulness 3/10 Language python

Source: stackoverflow.com

Tags: python

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Contributed on Jan 28 2022

Attractive Alpaca

0 Answers Avg Quality 2/10

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Remove duplicates with pandas

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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

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Contributed on Apr 29 2022

Elisabeth Engering

0 Answers Avg Quality 2/10

pandas remove repeated index

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df[~df.index.duplicated()]

Popularity 10/10 Helpfulness 8/10 Language python

Source: stackoverflow.com

Tags: pandas pa

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Contributed on Aug 17 2020

Tough Tarantula

0 Answers Avg Quality 2/10

remove duplicate row in df

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# 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

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Contributed on Aug 19 2020

Sachin

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drop duplicate index pandas

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df3 = df3[~df3.index.duplicated(keep='first')]

Popularity 10/10 Helpfulness 5/10 Language python

Source: stackoverflow.com

Tags: drop

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Contributed on Nov 12 2020

Average Ant

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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

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Contributed on Sep 18 2022

JJSSEEXX

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pandas drop duplicates from column

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data = data.drop_duplicates(subset=['City'], keep='first')

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Source: duckduckgo.com

Tags: pandas pa

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Contributed on May 15 2022

Clean Chimpanzee

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pandas drop duplicates

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borrar duplicados pandas

# 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 9/10 Helpfulness 4/10 Language c

Source: sparkbyexamples.com

Tags: c pandas

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Contributed on Feb 16 2023

malloc

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pandas remove repeated index

Comment

idx = pd.Index(['lama', 'cow', 'lama', 'beetle', 'lama', 'hippo'])
idx.drop_duplicates(keep='first')
Index(['lama', 'cow', 'beetle', 'hippo'], dtype='object')
idx.drop_duplicates(keep='last')
Index(['cow', 'beetle','lamb', 'hippo'], dtype='object')
idx.drop_duplicates(keep='False')
Index(['cow', 'beetle','hippo'], dtype='object')

Popularity 9/10 Helpfulness 4/10 Language python

Source: pandas.pydata.org

Tags: pandas pa

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Contributed on Aug 17 2020

Tough Tarantula

0 Answers Avg Quality 2/10

pd drop duplicate columns

Comment

# For dropping duplicate columns:
df = df.loc[:,~df.columns.duplicated()]

Popularity 9/10 Helpfulness 4/10 Language python

Source: Grepper

Tags: drop

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Contributed on Nov 29 2022

Benja

0 Answers Avg Quality 2/10

remove duplicates index pandas

Comment

df3 = df3[~df3.index.duplicated(keep='first')]

Popularity 9/10 Helpfulness 3/10 Language python

Source: stackoverflow.com

Tags: pandas pa

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Contributed on Mar 30 2023

Doubtful Dormouse

0 Answers Avg Quality 2/10

df index drop duplicates

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df index drop duplicates

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