remove duplicates based on two columns in dataframe
df.drop_duplicates(['A','B'],keep= 'last')remove duplicates based on two columns in dataframe
df.drop_duplicates(['A','B'],keep= 'last')remove duplicate columns python dataframe
df = df.loc[:,~df.columns.duplicated()]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'])Return a new DataFrame with duplicate rows removed
# Return a new DataFrame with duplicate rows removed
from pyspark.sql import Row
df = sc.parallelize([
Row(name='Alice', age=5, height=80),
Row(name='Alice', age=5, height=80),
Row(name='Alice', age=10, height=80)]).toDF()
df.dropDuplicates().show()
# +---+------+-----+
# |age|height| name|
# +---+------+-----+
# | 5| 80|Alice|
# | 10| 80|Alice|
# +---+------+-----+
df.dropDuplicates(['name', 'height']).show()
# +---+------+-----+
# |age|height| name|
# +---+------+-----+
# | 5| 80|Alice|
# +---+------+-----+Copyright © 2021 Codeinu
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