So, I want to show three plots which are made using sm.tsa.seasonal_decompose(df) function and I want to show them three in line. Here is a code:
import statsmodels.api as sm
res_cpi = sm.tsa.seasonal_decompose(data['cpi'])
resplot_cpi = res_cpi.plot()
res_stock = sm.tsa.seasonal_decompose(data['stock_exchange'])
resplot_stock = res_stock.plot()
res_supply = sm.tsa.seasonal_decompose(data['money_supply'])
resplot_supply = res_supply.plot()
And then I use plt.subplots()
fig, (ax1, ax2, ax3) = plt.subplots(1, 3)
res_cpi.plot()
res_stock.plot()
res_supply.plot()
But it does't put these three plot in one level. I know I should use "ax1", "ax2" and "ax3" but it results in following error:
AttributeError: 'AxesSubplot' object has no attribute 'resplot_cpi'
So my last thought was to write below code:
fig, (ax1, ax2, ax3) = plt.subplots(1, 3)
ax1.plot(res_cpi)
But I gets this error:
TypeError: float() argument must be a string or a number, not 'DecomposeResult'
I use this model to perform Fourier docompose -> https://towardsdatascience.com/fourier-transform-for-time-series-292eb887b101