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remove duplicates based on two columns in dataframe

df.drop_duplicates(['A','B'],keep= 'last')
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remove duplicate columns python dataframe

df = df.loc[:,~df.columns.duplicated()]
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pandas merge two dataframes remove duplicates

concat = pd.merge(data_1, data_2, how='inner')
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python pandas remove duplicates and make that change to same dataframe

# If same dataset needs to be updated:

df.drop_duplicates(keep=False, inplace=True)
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how to drop duplicate columns in pandas that dont have the same name?

# Drop duplicate columns
df2 = df.T.drop_duplicates().T
print(df2)
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pd.merge duplicate columns remove

#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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pandas remove duplicates columns

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

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