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Pandas Drop Duplicates

[Solved] Pandas Drop Duplicates | Python - Code Explorer | yomemimo.com
Question : Remove duplicates with pandas

Answered by : elisabeth-engering

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)

Source : https://www.datacamp.com/cheat-sheet/pandas-cheat-sheet-for-data-science-in-python | Last Update : Fri, 06 May 22

Question : pandas drop duplicates from column

Answered by : clean-chimpanzee-x9xh2muu92w1

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

Source : https://duckduckgo.com/?q=pandas+drop+duplicates+from+column&t=brave&ia=web | Last Update : Sun, 22 May 22

Question : pandas drop duplicates

Answered by : juan-lpez-iglesias

{"tags":[{"tag":"p","content":"borrar duplicados pandas"},{"tag":"textarea","content":"# Below are quick example\n# keep first duplicate row\ndf2 = df.drop_duplicates()\n\n# Using DataFrame.drop_duplicates() to keep first duplicate row\ndf2 = df.drop_duplicates(keep='first')\n\n# keep last duplicate row\ndf2 = df.drop_duplicates( keep='last')\n\n# Remove all duplicate rows \ndf2 = df.drop_duplicates(keep=False)\n\n# Delete duplicate rows based on specific columns \ndf2 = df.drop_duplicates(subset=[\"Courses\", \"Fee\"], keep=False)\n\n# Drop duplicate rows in place\ndf.drop_duplicates(inplace=True)\n\n# Using DataFrame.apply() and lambda function \ndf2 = df.apply(lambda x: x.astype(str).str.lower()).drop_duplicates(subset=['Courses', 'Fee'], keep='first')","code_language":"c"}]}

Source : https://sparkbyexamples.com/pandas/pandas-drop-duplicate-rows-from-dataframe/ | Last Update : Thu, 23 Feb 23

Question : pd drop duplicate columns

Answered by : ben-levitas

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

Source : | Last Update : Tue, 06 Dec 22

Question : drop duplicates data frame pandas python

Answered by : athul-mathew

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

Source : https://stackoverflow.com/questions/23667369/drop-all-duplicate-rows-across-multiple-columns-in-python-pandas | Last Update : Tue, 02 Aug 22

Question : drop duplicates columns pandas

Answered by : or-berger

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

Source : | Last Update : Wed, 08 Jun 22

Question : pandas remove duplicates columns

Answered by : perfect-penguin-a1nt3r09ybl6

df = df.loc[:,~df.columns.duplicated()].copy()
# https://stackoverflow.com/questions/14984119/python-pandas-remove-duplicate-columns

Source : | Last Update : Mon, 10 Oct 22

Question : pd df drop duplicates

Answered by : athul-mathew

df.drop_duplicates(subset=['brand', 'style'], keep='last')

Source : https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.drop_duplicates.html | Last Update : Mon, 29 Aug 22

Question : pandas remove duplicates

Answered by : lazy-lark-jenyffc7wa94

df.drop_duplicates()

Source : | Last Update : Mon, 30 May 22

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