技術標籤：資料分析

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from statsmodels.tsa.api import ExponentialSmoothing

data = pd.read_excel('時間序列預測資料集.xlsx')
# data.columns=[時間,投遞人數,投遞次數,工程師投遞人數,工程師投遞次數,招聘釋出公司量,釋出職位量,工程師崗位釋出公司,工程師崗位釋出量]

for i in data.drop('時間',axis=1).columns:
    y =
 
 data[i][:37]
    ets = ExponentialSmoothing(y, trend='add', seasonal='add', seasonal_periods=12)
    r = ets.fit()
    pred = r.predict(start=len(y), end=len(y) + 12)
    data[i][37:] = pred
    pd.DataFrame({
    'origin': data[i],
    'fitted': r.fittedvalues,
    'pred': pred
}).plot(legend=True
 
)
    plt.title(i)
data

https://www.cnblogs.com/lfri/p/12243268.html