How can I analyze time series data using Python?
You can use libraries like Pandas for data manipulation and Statsmodels for statistical analysis. What specific analysis do you have in mind?
I want to perform seasonal decomposition on my time series data.
You can use the seasonal_decompose
function from Statsmodels. Do you have your data in a Pandas DataFrame?
Yes, I have it ready. How do I apply the decomposition?
You can apply it like this: result = seasonal_decompose(data['column_name'], model='additive')
. Would you like to visualize the results?
Yes, how can I plot the decomposed components?
You can use Matplotlib to plot the components. Just call result.plot()
after decomposition.
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