python statsmodels.tsa.seasy中的值错误

Question

我有一个带有日期时间索引的数据框：

ts_log:

date price_per_unit 2013-04-04 12.762369 2013-04-05 12.777120 2013-04-06 12.773146 2013-04-07 12.780774 2013-04-08 12.786835

我有这段代码用于decomposition `

from statsmodels.tsa.seasonal import seasonal_decompose
decomposition = seasonal_decompose(ts_log)

trend = decomposition.trend
seasonal = decomposition.seasonal
residual = decomposition.resid

但是在decomposition = seasonal_decompose(ts_log)行中 我得到这个错误：

ValueError: You must specify a freq or x must be a pandas object with a timeseries index

问题在哪里？

Answer 1

经过一些搜索，我发现[这里][1]我必须将values添加到ts_log.price

decomposition = seasonal_decompose(ts_log.price.values, freq=30)

对注释进行编辑。仅仅添加freq=30就足够了！