Dear all,
I am trying to rebuild the steps for a time series analysis with a data set of monthly sales. After preparing the data and applying the Aggregation Granularity node, the table contains three columns, the aggregated time stamp in local date format and the sales numbers in integer format, and the granularity (string). It has 93 rows.
When I connect my data table to the Inspect Seasonality node or Decompose Signal node, the console shows the following error:
ERROR Python Script (1⇒1) (deprecated) 0:20:0:2 Execute failed: invalid syntax (, line 3)
Hello Maarit,
I have tried several options so far.
This is the .csv file
the Week_End column is already in the Excel date format, the Sales column is in Standard format.
I have converted the exact same file into .xlsx, however it did not work either. Skipping nodes like impute missing values or timestamp alignment (my set is complete anyways) didn’t help either.
Furthermore, I have done the entire data pre-processing from the file of origin of my small sample set in a workflow.
Thank you for the additional details! I can’t find anything wrong in the input data or the configuration.
The problem might be in the Python integration. Can you execute the energy consumption workflow with the Inspect Seasonality/Decompose Signal components successfully in the same workspace?
If not, please follow this guide to setup the Python Integration and install the necessary packages for time series analysis in KNIME.