drop duplicates pandas first column

1import pandas as pd 
2  
3# making data frame from csv file 
4data = pd.read_csv("employees.csv") 
5  
6# sorting by first name 
7data.sort_values("First Name", inplace = True) 
8  
9# dropping ALL duplicte values 
10data.drop_duplicates(subset ="First Name",keep = False, inplace = True) 
11  
12# displaying data 
13print(data)

1# Return a new DataFrame with duplicate rows removed
2
3from pyspark.sql import Row
4df = sc.parallelize([
5  Row(name='Alice', age=5, height=80),
6  Row(name='Alice', age=5, height=80),
7  Row(name='Alice', age=10, height=80)]).toDF()
8df.dropDuplicates().show()
9# +---+------+-----+
10# |age|height| name|
11# +---+------+-----+
12# |  5|    80|Alice|
13# | 10|    80|Alice|
14# +---+------+-----+
15
16df.dropDuplicates(['name', 'height']).show()
17# +---+------+-----+
18# |age|height| name|
19# +---+------+-----+
20# |  5|    80|Alice|
21# +---+------+-----+