The function plot_rolling_stddev in the hana_ml.visualizers.eda module plots the rolling standard deviation of a specified time series data column from a HANA DataFrame, using a given rolling window size, and allows customization of the plot through various parameters including the option to use plotly instead of matplotlib.
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Here is a Python code template based on the provided documentation:

```python
# Import necessary libraries
from hana_ml.visualizers.eda import plot_rolling_stddev

# Assuming that 'df' is your HANA DataFrame
# Specify the column name for time series data and the ID column
col = 'your_time_series_column'
key = 'your_id_column'

# Specify the window size for rolling function
rolling_window = 10

# Plot the rolling standard deviation using matplotlib
ax = plot_rolling_stddev(data=df, key=key, col=col, rolling_window=rolling_window)

# If you want to use plotly instead of matplotlib, set 'enable_plotly' to True
# fig = plot_rolling_stddev(data=df, key=key, col=col, rolling_window=rolling_window, enable_plotly=True)
```

Please replace `'your_time_series_column'` and `'your_id_column'` with your actual column names. Also, adjust the `rolling_window` size as per your requirement.