你好,我试着做时间序列分析,但我得到了这个回溯,谁能帮我?在
Python版本:3.6.7
数据集:https://www.kaggle.com/neuromusic/avocado-prices
# ARIMA LİBRARY
from statsmodels.tsa.arima_model import ARIMA
from pandas import datetime
# fit model
model = ARIMA(ts, order=(1,0,1)) # (ARMA) = (1,0,1)
model_fit = model.fit(disp=0)
# predict
start_index = datetime(2015, 1, 4)
end_index = datetime(2018, 3, 25)
forecast = model_fit.predict(start=start_index, end=end_index)
# visualization
plt.figure(figsize=(22,10))
plt.plot(data.date,data.avprice,label = "original")
plt.plot(forecast,label = "predicted")
plt.title("Time Series Forecast")
plt.xlabel("Date")
plt.ylabel("Mean Temperature")
plt.legend()
plt.show()
回溯:
^{pr2}$
目前没有回答
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