vDataFrame[].rename¶

In [ ]:

vDataFrame[].rename(new_name: str)

Renames the vcolumn by dropping the current vcolumn and creating a copy with the specified name.

⚠ Warning: SQL code generation will be slower if the vDataFrame has been transformed multiple times, so it's better practice to use this method when first preparing your data.

Parameters¶

Name	Type	Optional	Description
new_name	str	❌	The new vcolumn alias.

Returns¶

vDataFrame : self.parent

Example¶

In [62]:

from verticapy.datasets import load_titanic
titanic = load_titanic()
display(titanic["sex"])

	Abc sex Varchar(20)
1	female
2	male
3	female
4	male
5	male
6	male
7	male
8	male
9	male
10	male
11	male
12	male
13	male
14	male
15	male
16	male
17	male
18	male
19	male
20	male
21	male
22	male
23	male
24	male
25	male
26	male
27	male
28	male
29	male
30	male
31	male
32	male
33	male
34	male
35	female
36	male
37	male
38	male
39	male
40	male
41	male
42	male
43	male
44	male
45	male
46	male
47	male
48	male
49	male
50	male
51	male
52	male
53	male
54	male
55	male
56	male
57	female
58	male
59	male
60	male
61	male
62	male
63	male
64	male
65	male
66	male
67	male
68	male
69	male
70	male
71	male
72	male
73	male
74	male
75	male
76	male
77	male
78	male
79	male
80	male
81	male
82	male
83	male
84	male
85	male
86	male
87	male
88	male
89	male
90	male
91	male
92	male
93	male
94	male
95	male
96	male
97	male
98	male
99	male
100	male

Rows: 1-100 of 1234 | Column: sex | Type: varchar(20)

In [63]:

titanic["sex"].rename("gender")
display(titanic["gender"])

	Abc gender Varchar(20)
1	female
2	male
3	female
4	male
5	male
6	male
7	male
8	male
9	male
10	male
11	male
12	male
13	male
14	male
15	male
16	male
17	male
18	male
19	male
20	male
21	male
22	male
23	male
24	male
25	male
26	male
27	male
28	male
29	male
30	male
31	male
32	male
33	male
34	male
35	female
36	male
37	male
38	male
39	male
40	male
41	male
42	male
43	male
44	male
45	male
46	male
47	male
48	male
49	male
50	male
51	male
52	male
53	male
54	male
55	male
56	male
57	female
58	male
59	male
60	male
61	male
62	male
63	male
64	male
65	male
66	male
67	male
68	male
69	male
70	male
71	male
72	male
73	male
74	male
75	male
76	male
77	male
78	male
79	male
80	male
81	male
82	male
83	male
84	male
85	male
86	male
87	male
88	male
89	male
90	male
91	male
92	male
93	male
94	male
95	male
96	male
97	male
98	male
99	male
100	male

Rows: 1-100 of 1234 | Column: gender | Type: varchar(20)

vDataFrame[].rename¶

Parameters¶

Returns¶

Example¶

See Also¶