Autocorrelation Function (ACF) and Partial Autocorrelation Function (PACF) Plots¶

In [96]:

from verticapy.datasets import load_amazon
amazon = load_amazon()
amazon.acf(ts = "date", 
           column = "number", 
           p = 48,
           by = ["state"],
           unit = "month",
           method = "spearman")

Out[96]:

	value	confidence
0	1	0.024396841824873748
1	0.86543680396017	0.03856205308291557
2	0.641922639518878	0.04656468707262692
3	0.39938929350142	0.052519441106804815
4	0.185655799846523	0.057377036550587374
5	0.0459383199230746	0.061640765754674524
6	-0.0093684335920518	0.0655069183976806
7	0.0196168076254727	0.06894501806026314
8	0.127468215578189	0.07161118776156336
9	0.296828511393074	0.07416885585834694
10	0.494663471420921	0.07659027318891991
11	0.669183623721803	0.07887501028576362
12	0.756240777751227	0.08070972531360529
13	0.703656422347367	0.08246563028583806
14	0.545077794147088	0.08399101248988675
15	0.343092597277807	0.08547965236320183
16	0.154975502588019	0.0868462967771087
17	0.0229978976509497	0.08794223779603168
18	-0.0400085787092103	0.08899807709603456
19	-0.023663217087369	0.08984615265637208
20	0.0671919278641314	0.09063193558306873
21	0.215056031781125	0.09126725326056165
22	0.394326540990952	0.0918613330687679
23	0.560174388414002	0.0924395780522622
24	0.65232694499396	0.09293318667622075
25	0.62236564761964	0.09323727861686824
26	0.489241759585553	0.09351085391986542
27	0.30934414528762	0.09373816688889977
28	0.130889801728171	0.09389849041590317
29	-0.00131802232447298	0.09401990717406696
30	-0.069982748843881	0.09413611707174371
31	-0.0700269423512902	0.09424661024229615
32	0.00470065681955768	0.09433115129623874
33	0.133914615889873	0.09440975398732615
34	0.29999224404642	0.0944787937500136
35	0.460378217949214	0.09451720691829557
36	0.558670337789043	0.0945555772769078
37	0.552691671399349	0.09459152125235575
38	0.443166080540354	0.09461816517092184
39	0.274713391212048	0.09464457943128332
40	0.106021727769531	0.09466530944697167
41	-0.0229982303581731	0.09468281718440483
42	-0.0986764341222668	0.0946937428701469
43	-0.110317490821392	0.09470447438051062
44	-0.054853876630662	0.09471520792593062
45	0.0551848919438232	0.09472503189708015
46	0.203993285445905	0.09473297816528793
47	0.35497398680027	0.09474051064208233
48	0.458820853220682	0.09474791601815644

Rows: 1-49 | Columns: 3