在季节性分解中，季节性情节似乎已经消失了
当我分解时间序列时，季节性情节看起来像这样，我会做错什么？这是我用于分解的代码，
import statsmodels.api as sm
decomposition = sm.tsa.seasonal_decompose(temp_df['depth_to_groundwater'], model='additive', freq=12)
fig = decomposition.plot()
fig.set_figwidth(12)
fig.set_figheight(8)
fig.suptitle('Decomposition of time series')
plt.show()
谈论我的时间序列数据，这是负面的，也许它可能影响了情节 在此处输入图像描述
When I decompose my time-series Seasonal plot looks like this, what have I could do wrong? Here is code that i used for decomposition
import statsmodels.api as sm
decomposition = sm.tsa.seasonal_decompose(temp_df['depth_to_groundwater'], model='additive', freq=12)
fig = decomposition.plot()
fig.set_figwidth(12)
fig.set_figheight(8)
fig.suptitle('Decomposition of time series')
plt.show()
Talking about my time series data it is negative, , maybe it could have influenced the plot
enter image description here
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尝试增加频率。对于您的模型来说，12可能太低了。像365这样的频率可以解决它
Try to increase your freq. 12 is probably too low for your model. A freq like 365 would solve it