import matplotlibpyplot as plt from statsmodelstsaseasonal
decompose import seasonal_decompose import pandas as pd
load data
data = pd.read_csv('data.csv', parse_dates=['date'], index_col='date')
plot data
plt.plot(data) plt.title('Original Data') plt.xlabel('Year') plt.show()
decompose data
result = seasonal_decompose(data, model='multiplicative', period=12)
plot decomposition
fig, axes = plt.subplots(ncols=1, nrows=4, sharex=True, figsize=(10,8)) axes[0].plot(result.observed) axes[0].set_ylabel('Observed') axes[1].plot(result.trend) axes[1].set_ylabel('Trend') axes[2].plot(result.seasonal) axes[2].set_ylabel('Seasonal') axes[3].plot(result.resid) axes[3].set_ylabel('Residual') plt.xlabel('Year') plt.show(
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