尝试使用 Statsmodels 中的 seasonal_decompose 时出错
Error when trying to use seasonal_decompose from Statsmodels
我有以下名为 'data' 的数据框:
Month
Revenue Index
1920-01-01
1.72
1920-02-01
1.83
1920-03-01
1.94
...
...
2021-10-01
114.20
2021-11-01
115.94
2021-12-01
116.01
这本质上是一个月度收入指数,我试图在其上使用 seasonal_decompose 和以下代码:
result = seasonal_decompose(data['Revenue Index'], model='multiplicative')
但不幸的是我收到以下错误:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-39-08e3139bbf77> in <module>()
----> 1 result = seasonal_decompose(data['Consumptieprijsindex'], model='multiplicative')
2 rcParams['figure.figsize'] = 12, 6
3 plt.rc('lines', linewidth=1, color='r')
4
5 fig = result.plot()
/usr/local/lib/python3.7/dist-packages/statsmodels/tsa/seasonal.py in seasonal_decompose(x, model, filt, freq, two_sided, extrapolate_trend)
125 freq = pfreq
126 else:
--> 127 raise ValueError("You must specify a freq or x must be a "
128 "pandas object with a timeseries index with "
129 "a freq not set to None")
ValueError: You must specify a freq or x must be a pandas object with a timeseries index with a freq not set to None
有谁知道如何解决这个问题?谢谢!
评论中的以下代码回答了我的问题:
result = seasonal_decompose(data['Revenue Index'], model='multiplicative', period=12)
我有以下名为 'data' 的数据框:
Month | Revenue Index |
---|---|
1920-01-01 | 1.72 |
1920-02-01 | 1.83 |
1920-03-01 | 1.94 |
... | ... |
2021-10-01 | 114.20 |
2021-11-01 | 115.94 |
2021-12-01 | 116.01 |
这本质上是一个月度收入指数,我试图在其上使用 seasonal_decompose 和以下代码:
result = seasonal_decompose(data['Revenue Index'], model='multiplicative')
但不幸的是我收到以下错误:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-39-08e3139bbf77> in <module>()
----> 1 result = seasonal_decompose(data['Consumptieprijsindex'], model='multiplicative')
2 rcParams['figure.figsize'] = 12, 6
3 plt.rc('lines', linewidth=1, color='r')
4
5 fig = result.plot()
/usr/local/lib/python3.7/dist-packages/statsmodels/tsa/seasonal.py in seasonal_decompose(x, model, filt, freq, two_sided, extrapolate_trend)
125 freq = pfreq
126 else:
--> 127 raise ValueError("You must specify a freq or x must be a "
128 "pandas object with a timeseries index with "
129 "a freq not set to None")
ValueError: You must specify a freq or x must be a pandas object with a timeseries index with a freq not set to None
有谁知道如何解决这个问题?谢谢!
评论中的以下代码回答了我的问题:
result = seasonal_decompose(data['Revenue Index'], model='multiplicative', period=12)