Pandas DataFrame.head()

The head() returns the first n rows for the object based on position. If your object has the right type of data in it, it is useful for quick testing. This method is used for returning top n (by default value 5) rows of a data frame or series.

Syntax

Parameters

n: It refers to an integer value that returns the number of rows.

Return

It returns the DataFrame with top n rows.

Example1

info = pd.DataFrame({'language':['C', 'C++', 'Python', 'Java','PHP']})
info.head()
info.head(3)

Output

       language
0        C
1       C++
2       Python

Example 2

We have a csv file "aa.csv" that have the following dataset.

     Name               Hire Date    Salary      Leaves Remaining
 John Idle           03/15/14     50000.0       10
 Smith Gilliam       06/01/15     65000.0       8
 Parker Chapman      05/12/14     45000.0       10
 Jones Palin         11/01/13     70000.0       3
 Terry Gilliam       08/12/14     48000.0       7

By using the head() in the below example, we showed only top 2 rows from the dataset.

# importing pandas module 
import pandas as pd  
# making data frame 
data = pd.read_csv("aa.csv")   
# calling head() method  
# storing in new variable 
data_top  = data.head(2)  
# display 
data_top

       Name          Hire Date      Salary      Leaves Remaining
0     John Idle        03/15/14     50000.0        10
1     Smith Gilliam    06/01/15     65000.0        8

Next TopicDataFrame.hist()

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