python: remove duplicate in a specific column
df = df.drop_duplicates(subset=['Column1', 'Column2'], keep='first')python: remove duplicate in a specific column
df = df.drop_duplicates(subset=['Column1', 'Column2'], keep='first')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()]remove duplicate values in data frame r
df <- df %>% distinct()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|
# +---+------+-----+Pandas drop duplicates
df = df.drop_duplicates(subset = ["b"])Copyright © 2021 Codeinu
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