Pandas Series: head() function

Get the first n rows in Pandas series

The head() function is used to get the first n rows.

Syntax:

Series.head(self, n=5)

Parameters:

Returns: obj_head - same type as caller

Raises:same type as caller
The first n rows of the caller object.

Example:

Python-Pandas Code:

import numpy as np
import pandas as pd
df = pd.DataFrame({'animal':['dog', 'bee', 'cat', 'lion',
                   'monkey', 'tiger', 'fox', 'wolf', 'zebra']})
df

Output:

  animal
0	dog
1	bee
2	cat
3	lion
4	monkey
5	tiger
6	fox
7	wolf
8	zebra

Example - Viewing the first 5 lines:

Python-Pandas Code:

import numpy as np
import pandas as pd
df = pd.DataFrame({'animal':['dog', 'bee', 'cat', 'lion',
                   'monkey', 'tiger', 'fox', 'wolf', 'zebra']})
df.head()

Output:

  animal
0	dog
1	bee
2	cat
3	lion
4	monkey

Example - Viewing the first n lines (three in this case):

Python-Pandas Code:

import numpy as np
import pandas as pd
df = pd.DataFrame({'animal':['dog', 'bee', 'cat', 'lion',
                   'monkey', 'tiger', 'fox', 'wolf', 'zebra']})
df.head(3)

Output:

  animal
0	dog
1	bee
2	cat

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