pandas merge two dataframes remove duplicates

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Talal Siddiqui answered on May 28, 2020 Popularity 10/10 Helpfulness 4/10

answer pandas merge two dataframes remove duplicates

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pandas merge two dataframes remove duplicates

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concat = pd.merge(data_1, data_2, how='inner')

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Source: stackoverflow.com

Tags: merge pandas-merge python

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Contributed on Oct 27 2021

Talal Siddiqui

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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)

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Source: www.datacamp.com

Tags: pandas pa

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Contributed on Apr 29 2022

Elisabeth Engering

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remove duplicates based on two columns in dataframe

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df.drop_duplicates(['A','B'],keep= 'last')

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Source: Grepper

Tags: dataframe data

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Contributed on Aug 13 2020

Sachin

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remove duplicates in dataframe by index python

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# 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"])

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Source: stackoverflow.com

Tags: dataframe data

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Contributed on Sep 18 2022

JJSSEEXX

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remove duplicate columns python dataframe

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

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Source: stackoverflow.com

Tags: dataframe data

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Contributed on May 28 2020

Happy Hawk

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python pandas remove duplicates and make that change to same dataframe

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# If same dataset needs to be updated:

df.drop_duplicates(keep=False, inplace=True)

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Source: stackoverflow.com

Tags: dataframe data

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Contributed on Sep 03 2022

Sutariya Vikas

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pd.merge duplicate columns remove

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#Create test data
df1 = pd.DataFrame(np.random.randint(100,size=(1000, 3)),columns=['A','B','C'])
df2 = pd.DataFrame(np.random.randint(100,size=(1000, 3)),columns=['B','C','D'])

pd.merge(df1, df2, how='inner', left_on=['B','C'], right_on=['B','C'])

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Contributed on Jul 07 2021

Sundar

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pandas remove duplicates columns

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

# https://stackoverflow.com/questions/14984119/python-pandas-remove-duplicate-columns

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Source: Grepper

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Contributed on Oct 03 2022

Perfect Penguin

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merge two dataframes pandas with same index and remove duplicates

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dataframe = pd.concat([df1, df2]).drop_duplicates()

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Source: Grepper

Tags: merge pandas python

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Contributed on Mar 06 2023

Gifted Grasshopper

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Remove duplicates with pandas inplace

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import pandas as pd
import numpy as np

data = {'column1': [1, 2, 2, np.nan, 4],
        'column2': ['a', 'b', 'b', 'c', 'd']}

df1 = df2 = df3 = pd.DataFrame(data)

# Remove all duplicates inplace
df1.drop_duplicates(inplace=True)
print(df1,"\n")

# Remove duplicates in one column inplace
df2.drop_duplicates(subset="column1", inplace=True)
print(df2,"\n")

# Remove duplicates in multiple columns inplace
df3.drop_duplicates(subset=["column1", "column2"], inplace=True)
print(df3)

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Source: Grepper

Tags: in-place pandas python

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Contributed on Aug 19 2024

Harsh S.

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pandas merge two dataframes remove duplicates

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