Python | Pandas Dataframe/Series.head() method

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric Python packages. Pandas is one of those packages and makes importing and analyzing data much easier.

Pandas head() method is used to return top n (5 by default) rows of a data frame or series.

Syntax: Dataframe.head(n=5)

Parameters:
n: integer value, number of rows to be returned

Return type: Dataframe with top n rows



To download the data set used in following example, click here.
In the following examples, the data frame used contains data of some NBA players. The image of data frame before any operations is attached below.

Example #1:

In this example, top 5 rows of data frame are returned and stored in a new variable. No parameter is passed to .head() method since by default it is 5.

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# importing pandas module
import pandas as pd
  
# making data frame
data = pd.read_csv("https://media.geeksforgeeks.org/wp-content/uploads/nba.csv")
  
# calling head() method 
# storing in new variable
data_top = data.head()
  
# display
data_top

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Output:

As shown in the output image, it can be seen that the index of returned rows is ranging from 0 to 4. Hence, top 5 rows were returned.




 

Example #2: Calling on Series with n parameter()


In this example, the .head() method is called on series with custom input of n parameter to return top 9 rows of the series.













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# importing pandas module 


import pandas as pd 


  


# making data frame 


data = pd.read_csv("https://media.geeksforgeeks.org/wp-content/uploads/nba.csv") 


  


# number of rows to return 


n = 9


  


# creating series 


series = data["Name"] 


  


# returning top n rows 


top = series.head(n = n) 


  


# display 


top 



















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Output:

As shown in the output image, top 9 rows ranging from 0 to 8th index position were returned.




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