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
DataFrame.head(n=5)
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
0 John Idle 03/15/14 50000.0 10
1 Smith Gilliam 06/01/15 65000.0 8
2 Parker Chapman 05/12/14 45000.0 10
3 Jones Palin 11/01/13 70000.0 3
4 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