Teradata Package for Python Function Reference | 20.00 - head - Teradata Package for Python - Look here for syntax, methods and examples for the functions included in the Teradata Package for Python.
Teradata® Package for Python Function Reference - 20.00
- Deployment
- VantageCloud
- VantageCore
- Edition
- Enterprise
- IntelliFlex
- VMware
- Product
- Teradata Package for Python
- Release Number
- 20.00.00.03
- Published
- December 2024
- ft:locale
- en-US
- ft:lastEdition
- 2024-12-19
- dita:id
- TeradataPython_FxRef_Enterprise_2000
- lifecycle
- latest
- Product Category
- Teradata Vantage
- teradataml.series.series.Series.head = head(self, n=10)
- Print the first n rows of the sorted teradataml Series.
Note: The Series is sorted on the column composing the Series object.
The column type must support sorting.
Unsupported types: ['BLOB', 'CLOB', 'ARRAY', 'VARRAY']
PARAMETERS:
n:
Optional argument.
Specifies the number of rows to select.
Default Value: 10.
Type: int
RETURNS:
teradataml Series
RAISES:
TeradataMlException
EXAMPLES:
>>> load_example_data("dataframe", "admissions_train")
>>> df = DataFrame("admissions_train")
>>> df
masters gpa stats programming admitted
id
22 yes 3.46 Novice Beginner 0
36 no 3.00 Advanced Novice 0
15 yes 4.00 Advanced Advanced 1
38 yes 2.65 Advanced Beginner 1
5 no 3.44 Novice Novice 0
17 no 3.83 Advanced Advanced 1
34 yes 3.85 Advanced Beginner 0
13 no 4.00 Advanced Novice 1
26 yes 3.57 Advanced Advanced 1
19 yes 1.98 Advanced Advanced 0
>>> gpa = df.select(["gpa"]).squeeze()
>>> gpa
0 4.00
1 2.33
2 3.46
3 3.83
4 4.00
5 2.65
6 3.57
7 3.44
8 3.85
9 3.95
Name: gpa, dtype: float64
>>> gpa.head()
0 2.33
1 3.00
2 3.13
3 3.44
4 3.46
5 3.46
6 3.45
7 2.65
8 1.98
9 1.87
Name: gpa, dtype: float64
>>> gpa.head(15)
0 2.33
1 3.00
2 3.13
3 3.44
4 3.46
5 3.46
6 3.50
7 3.50
8 3.50
9 3.52
10 3.55
11 3.45
12 2.65
13 1.98
14 1.87
Name: gpa, dtype: float64
>>> gpa.head(5)
0 2.33
1 3.00
2 2.65
3 1.98
4 1.87
Name: gpa, dtype: float64