cudf.Series.head

Series.head(n=5)

Return the first n rows. This function returns the first n rows for the object based on position. It is useful for quickly testing if your object has the right type of data in it. For negative values of n, this function returns all rows except the last n rows, equivalent to df[:-n].

Parameters

nint, default 5

Number of rows to select.

Returns

DataFrame or Series

The first n rows of the caller object.

See also

Frame.tail

Returns the last n rows.

Examples

Series

>>> ser = cudf.Series(['alligator', 'bee', 'falcon',
... 'lion', 'monkey', 'parrot', 'shark', 'whale', 'zebra'])
>>> ser
0    alligator
1          bee
2       falcon
3         lion
4       monkey
5       parrot
6        shark
7        whale
8        zebra
dtype: object

Viewing the first 5 lines

>>> ser.head()
0    alligator
1          bee
2       falcon
3         lion
4       monkey
dtype: object

Viewing the first n lines (three in this case)

>>> ser.head(3)
0    alligator
1          bee
2       falcon
dtype: object

For negative values of n

>>> ser.head(-3)
0    alligator
1          bee
2       falcon
3         lion
4       monkey
5       parrot
dtype: object

DataFrame

>>> df = cudf.DataFrame()
>>> df['key'] = [0, 1, 2, 3, 4]
>>> df['val'] = [float(i + 10) for i in range(5)]  # insert column
>>> df.head(2)
   key   val
0    0  10.0
1    1  11.0