vDataFrame.heatmap¶

In [ ]:

vDataFrame.heatmap(columns: list,
                   method: str = "count",
                   of: str = "",
                   h: tuple = (None, None),
                   ax=None,
                   **style_kwds,)

Draws the Heatmap of the two input vcolumns.

Parameters¶

Name	Type	Optional	Description
columns	list	❌	List of the vcolumns names. The list must have one or two elements.
method	str	✓	The method to use to aggregate the data. count : Number of elements. density : Percentage of the distribution. mean : Average of the vcolumn 'of'. min : Minimum of the vcolumn 'of'. max : Maximum of the vcolumn 'of'. sum : Sum of the vcolumn 'of'. q% : q Quantile of the vcolumn 'of' (ex: 50% to get the median). It can also be a cutomized aggregation (ex: AVG(column1) + 5).
of	str	✓	The vcolumn to use to compute the aggregation.
h	tuple	✓	Interval width of the vcolumns 1 and 2 bars. Optimized h will be computed if the parameter is empty or invalid.
ax	Matplotlib axes object	✓	The axes to plot on.
**style_kwds	any	✓	Any optional parameter to pass to the Matplotlib functions.

Returns¶

ax : Matplotlib axes object

Example¶

In [5]:

from verticapy.datasets import load_iris
iris = load_iris()
display(iris)

	123 SepalLengthCm Numeric(5,2)	123 SepalWidthCm Numeric(5,2)	123 PetalLengthCm Numeric(5,2)	123 PetalWidthCm Numeric(5,2)	Abc Species Varchar(30)
1	4.3	3.0	1.1	0.1	Iris-setosa
2	4.4	2.9	1.4	0.2	Iris-setosa
3	4.4	3.0	1.3	0.2	Iris-setosa
4	4.4	3.2	1.3	0.2	Iris-setosa
5	4.5	2.3	1.3	0.3	Iris-setosa
6	4.6	3.1	1.5	0.2	Iris-setosa
7	4.6	3.2	1.4	0.2	Iris-setosa
8	4.6	3.4	1.4	0.3	Iris-setosa
9	4.6	3.6	1.0	0.2	Iris-setosa
10	4.7	3.2	1.3	0.2	Iris-setosa
11	4.7	3.2	1.6	0.2	Iris-setosa
12	4.8	3.0	1.4	0.1	Iris-setosa
13	4.8	3.0	1.4	0.3	Iris-setosa
14	4.8	3.1	1.6	0.2	Iris-setosa
15	4.8	3.4	1.6	0.2	Iris-setosa
16	4.8	3.4	1.9	0.2	Iris-setosa
17	4.9	2.4	3.3	1.0	Iris-versicolor
18	4.9	2.5	4.5	1.7	Iris-virginica
19	4.9	3.0	1.4	0.2	Iris-setosa
20	4.9	3.1	1.5	0.1	Iris-setosa
21	4.9	3.1	1.5	0.1	Iris-setosa
22	4.9	3.1	1.5	0.1	Iris-setosa
23	5.0	2.0	3.5	1.0	Iris-versicolor
24	5.0	2.3	3.3	1.0	Iris-versicolor
25	5.0	3.0	1.6	0.2	Iris-setosa
26	5.0	3.2	1.2	0.2	Iris-setosa
27	5.0	3.3	1.4	0.2	Iris-setosa
28	5.0	3.4	1.5	0.2	Iris-setosa
29	5.0	3.4	1.6	0.4	Iris-setosa
30	5.0	3.5	1.3	0.3	Iris-setosa
31	5.0	3.5	1.6	0.6	Iris-setosa
32	5.0	3.6	1.4	0.2	Iris-setosa
33	5.1	2.5	3.0	1.1	Iris-versicolor
34	5.1	3.3	1.7	0.5	Iris-setosa
35	5.1	3.4	1.5	0.2	Iris-setosa
36	5.1	3.5	1.4	0.2	Iris-setosa
37	5.1	3.5	1.4	0.3	Iris-setosa
38	5.1	3.7	1.5	0.4	Iris-setosa
39	5.1	3.8	1.5	0.3	Iris-setosa
40	5.1	3.8	1.6	0.2	Iris-setosa
41	5.1	3.8	1.9	0.4	Iris-setosa
42	5.2	2.7	3.9	1.4	Iris-versicolor
43	5.2	3.4	1.4	0.2	Iris-setosa
44	5.2	3.5	1.5	0.2	Iris-setosa
45	5.2	4.1	1.5	0.1	Iris-setosa
46	5.3	3.7	1.5	0.2	Iris-setosa
47	5.4	3.0	4.5	1.5	Iris-versicolor
48	5.4	3.4	1.5	0.4	Iris-setosa
49	5.4	3.4	1.7	0.2	Iris-setosa
50	5.4	3.7	1.5	0.2	Iris-setosa
51	5.4	3.9	1.3	0.4	Iris-setosa
52	5.4	3.9	1.7	0.4	Iris-setosa
53	5.5	2.3	4.0	1.3	Iris-versicolor
54	5.5	2.4	3.7	1.0	Iris-versicolor
55	5.5	2.4	3.8	1.1	Iris-versicolor
56	5.5	2.5	4.0	1.3	Iris-versicolor
57	5.5	2.6	4.4	1.2	Iris-versicolor
58	5.5	3.5	1.3	0.2	Iris-setosa
59	5.5	4.2	1.4	0.2	Iris-setosa
60	5.6	2.5	3.9	1.1	Iris-versicolor
61	5.6	2.7	4.2	1.3	Iris-versicolor
62	5.6	2.8	4.9	2.0	Iris-virginica
63	5.6	2.9	3.6	1.3	Iris-versicolor
64	5.6	3.0	4.1	1.3	Iris-versicolor
65	5.6	3.0	4.5	1.5	Iris-versicolor
66	5.7	2.5	5.0	2.0	Iris-virginica
67	5.7	2.6	3.5	1.0	Iris-versicolor
68	5.7	2.8	4.1	1.3	Iris-versicolor
69	5.7	2.8	4.5	1.3	Iris-versicolor
70	5.7	2.9	4.2	1.3	Iris-versicolor
71	5.7	3.0	4.2	1.2	Iris-versicolor
72	5.7	3.8	1.7	0.3	Iris-setosa
73	5.7	4.4	1.5	0.4	Iris-setosa
74	5.8	2.6	4.0	1.2	Iris-versicolor
75	5.8	2.7	3.9	1.2	Iris-versicolor
76	5.8	2.7	4.1	1.0	Iris-versicolor
77	5.8	2.7	5.1	1.9	Iris-virginica
78	5.8	2.7	5.1	1.9	Iris-virginica
79	5.8	2.8	5.1	2.4	Iris-virginica
80	5.8	4.0	1.2	0.2	Iris-setosa
81	5.9	3.0	4.2	1.5	Iris-versicolor
82	5.9	3.0	5.1	1.8	Iris-virginica
83	5.9	3.2	4.8	1.8	Iris-versicolor
84	6.0	2.2	4.0	1.0	Iris-versicolor
85	6.0	2.2	5.0	1.5	Iris-virginica
86	6.0	2.7	5.1	1.6	Iris-versicolor
87	6.0	2.9	4.5	1.5	Iris-versicolor
88	6.0	3.0	4.8	1.8	Iris-virginica
89	6.0	3.4	4.5	1.6	Iris-versicolor
90	6.1	2.6	5.6	1.4	Iris-virginica
91	6.1	2.8	4.0	1.3	Iris-versicolor
92	6.1	2.8	4.7	1.2	Iris-versicolor
93	6.1	2.9	4.7	1.4	Iris-versicolor
94	6.1	3.0	4.6	1.4	Iris-versicolor
95	6.1	3.0	4.9	1.8	Iris-virginica
96	6.2	2.2	4.5	1.5	Iris-versicolor
97	6.2	2.8	4.8	1.8	Iris-virginica
98	6.2	2.9	4.3	1.3	Iris-versicolor
99	6.2	3.4	5.4	2.3	Iris-virginica
100	6.3	2.3	4.4	1.3	Iris-versicolor

Rows: 1-100 | Columns: 5

In [13]:

iris.heatmap(["PetalLengthCm", "SepalLengthCm"])

In [8]:

iris.heatmap(["PetalLengthCm", "SepalLengthCm"], 
             method="avg", 
             of="PetalWidthCm")

vDataFrame.hexbin	Draws the Hexbin Plot of 2 vcolumns based on an aggregation.
vDataFrame.pivot	Returns the Pivot of the vDataFrame using the input aggregation.

vDataFrame.heatmap¶

Parameters¶

Returns¶

Example¶

See Also¶