The function timeseries_box_plot in the hana_ml.visualizers.eda module plots a year-wise or month-wise box plot of a given time series data column from a HANA DataFrame, with options to define the ID column, the axes for the plot, the x-axis cycle, and whether to use plotly instead of matplotlib.
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Here is the executable code template for the `timeseries_box_plot` function:

```python
from hana_ml.visualizers.eda import timeseries_box_plot

# Assuming that `df` is your HANA DataFrame
# and "Y" is your time series data column
# and "ID" is your ID column

# Example 1: YEAR
timeseries_box_plot(data=df, col="Y", key="ID", cycle="YEAR")

# If you want to use plotly instead of matplotlib
timeseries_box_plot(data=df, col="Y", key="ID", cycle="YEAR", enable_plotly=True)

# Example 2: MONTH
timeseries_box_plot(data=df, col="Y", key="ID", cycle="MONTH")

# If you want to use plotly instead of matplotlib
timeseries_box_plot(data=df, col="Y", key="ID", cycle="MONTH", enable_plotly=True)

# Example 3: QUARTER
timeseries_box_plot(data=df, col="Y", key="ID", cycle="QUARTER")

# If you want to use plotly instead of matplotlib
timeseries_box_plot(data=df, col="Y", key="ID", cycle="QUARTER", enable_plotly=True)
```

Please replace `df`, `"Y"`, and `"ID"` with your actual HANA DataFrame and column names.