pandas duplicate row code example

Example 1: 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|
# +---+------+-----+

Example 2: how to duplicate a row in python

import pandas as pd

In [603]: df = pd.DataFrame({'col1':list("abc"),'col2':range(3)},index = range(3))

In [604]: df
Out[604]: 
  col1  col2
0    a     0
1    b     1
2    c     2

In [605]: pd.concat([df]*3, ignore_index=True) # Ignores the index
Out[605]: 
  col1  col2
0    a     0
1    b     1
2    c     2
3    a     0
4    b     1
5    c     2
6    a     0
7    b     1
8    c     2

In [606]: pd.concat([df]*3)
Out[606]: 
  col1  col2
0    a     0
1    b     1
2    c     2
0    a     0
1    b     1
2    c     2
0    a     0
1    b     1
2    c     2