fit = statsmodels.api.tsa.ARIMA(efRates[0], (1,1,1), exog=ueRate).fit(transparams=False)
predicts = fit.predict(start=len(efRates[0]), end = len(efRates[0])+11, exog=ueRate, typ = 'levels')
生成
File "C:\Users\Saul Ramirez\AppData\Local\Continuum\Anaconda3\lib\site-packages\statsmodels\tsa\arima_model.py", line 720, in predict
if self.k_exog == 1 and exog.ndim == 1:
AttributeError: 'bool' object has no attribute 'ndim'
一些信息：efRates[0]和ueRate是相同长度的列表。
efRates[0]
[0.030052056971642007,
0.03917330288542586,
0.02828475062426216,
0.03644101079605235,
0.03378605359919436,
0.02743587918046455,
0.03342745492501596,
0.026205917483282503,
0.030503758568976337,
0.024550760529053202,
0.03261189266424876,
0.03506521240864593,
0.027338276601998696,
0.053725765854704746,
0.02676967429100413,
0.03442977438269886,
0.033314687425925964,
0.027406120117972988,
0.037085495711527916,
0.021131004053371122,
0.03342530957311805,
0.02011467948214261,
0.03674645825546184,
0.030766279328527657,
0.022010347634637235,
0.048441932020847935,
0.055182794314502556,
0.037653187998947804,
0.054329400023020905,
0.030487014172364307,
0.04828703019272537,
0.029364609341652963,
0.04420916320116292,
0.0245732204143899,
0.04007219462688283,
0.030088483595491378,
0.04503547974992547,
0.050414257448672777,
0.03650945820093438,
0.0271939590858418,
0.043825558271225154,
0.02887263694287208,
0.034395655516300985,
0.033476222069816444,
0.02364138126589003,
0.034956784469719566,
0.025488157761323762,
0.03284135171594629,
0.0352266773873871,
0.02578522887525815,
0.030801158226067212,
0.017836011389627614,
0.03237266466197845,
0.020781381627205192,
0.03507981277516531,
0.030619701683938114,
0.0200645972051283,
0.02340543468851082,
0.022232375406303732,
0.031450255120488005,
0.030807264010862326,
0.02520300632649576,
0.02683432106844716,
0.01719544921035768,
0.022245308176032028,
0.015787396423808154,
0.02236691164709978,
0.022948859956318242,
0.018302596298743336,
0.02356268219722402,
0.020514907102090335,
0.029322000183361653,
0.030253386469667742,
0.02389996663574461,
0.026350732450672106,
0.018634569853141162,
0.02993859530565429,
0.01762489169698181,
0.028369112029450066,
0.024207088908217232,
0.019513438046869554,
0.02149236584384482,
0.020792834468107983,
0.0252767276304043,
0.025754940371044845,
0.01633653635317383,
0.02562719118582408,
0.01718720874173012,
0.02915438356543398,
0.017238835380189263,
0.028044663751279383,
0.027504015027686957,
0.020989801458819447,
0.025215885766374995,
0.02422123160263125,
0.03253702270430853,
0.02095284431753602,
0.03241141468118923,
0.018667854534336364,
0.03997670839216877,
0.022116655885610726,
0.030336876645878957,
0.03418820217137176,
0.018663800522544426,
0.02623414798030232,
0.020524065760586897]
ueRate
[4.9,
5,
5,
5,
4.9,
4.7,
4.8,
4.7,
4.7,
4.6,
4.6,
4.7,
4.7,
4.5,
4.4,
4.5,
4.4,
4.6,
4.5,
4.4,
4.5,
4.4,
4.6,
4.7,
4.6,
4.7,
4.7,
4.7,
5,
5,
4.9,
5.1,
5,
5.4,
5.6,
5.8,
6.1,
6.1,
6.5,
6.8,
7.3,
7.8,
8.3,
8.7,
9,
9.4,
9.5,
9.5,
9.6,
9.8,
10,
9.9,
9.9,
9.7,
9.8,
9.9,
9.9,
9.6,
9.4,
9.5,
9.5,
9.5,
9.5,
9.8,
9.4,
9.1,
9,
9,
9.1,
9,
9.1,
9,
9,
9,
8.8,
8.6,
8.5,
8.2,
8.3,
8.2,
8.2,
8.2,
8.2,
8.2,
8.1,
7.8,
7.8,
7.8,
7.9,
7.9,
7.7,
7.5,
7.5,
7.5,
7.5,
7.3,
7.2,
7.2,
7.2,
7,
6.7,
6.6,
6.7,
6.7,
6.3,
6.3]