remove all rows with duplicate values in one column code example

Example 1: remove duplicate row in df

df = df.drop_duplicates()

Example 2: drop row with duplicate value

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)

Example 3: 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|
# +---+------+-----+