remove row if all are the same value pandas
print (df['S'] != df['T']) 0 False 1 True 2 True 3 True 4 False 5 True 6 True 7 True 8 False dtype: bool df = df[df['S'] != df['T']] print (df) S T W U 1 A B 0 Undirected 2 A C 1 Undirected 3 B A 0 Undirected 5 B C 1 Undirected 6 C A 1 Undirected 7 C B 1 Undirected
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
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
