Answers for "pandas drop duplicate"

8

remove duplicate row in df

df = df.drop_duplicates()
Posted by: Guest on August-19-2020
1

drop duplicate index pandas

df3 = df3[~df3.index.duplicated(keep='first')]
Posted by: Guest on November-12-2020
0

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|
# +---+------+-----+
Posted by: Guest on April-08-2020
0

Pandas drop duplicates

df = df.drop_duplicates(subset = ["b"])
Posted by: Guest on August-31-2021

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