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Remove duplicates with pandas

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)
Comment

remove duplicate row in df

df = df.drop_duplicates()
Comment

dataframe delete duplicate rows with same column value

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

# Exemple
import pandas as pd
df = pd.DataFrame({"A":["foo", "foo", "foo", "bar"], "B":[0,1,1,1], "C":["A","A","B","A"]})
df.drop_duplicates(subset=['A', 'C'], keep=False)
Comment

pandas drop duplicates from column

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

dataframe delete duplicate rows with same column value

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

# Exemple
import pandas as pd
df = pd.DataFrame({"A":["foo", "foo", "foo", "bar"], "B":[0,1,1,1], "C":["A","A","B","A"]})
df.drop_duplicates(subset=['A', 'C'], keep=False)
Comment

remove duplicate columns python dataframe

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

remove duplicates in dataframe by index python

# 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"])
Comment

pd df drop duplicates

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

how to drop duplicate columns in pandas that dont have the same name?

# Drop duplicate columns
df2 = df.T.drop_duplicates().T
print(df2)
Comment

df index drop duplicates

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

drop duplicates data frame pandas python

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

drop duplicates columns pandas

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

pandas remove duplicates columns

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

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

pandas remove duplicates

df.drop_duplicates()
Comment

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