The function kaplan_meier_survival_analysis in the hana_ml.algorithms.pal.stats module is used to estimate the survival function from lifetime data using the non-parametric Kaplan-Meier estimator, often used to measure time-to-death of patients or time-to-failure of machine parts, and it returns survival estimates and log rank test statistics.
------
Here is a Python code template for the `kaplan_meier_survival_analysis` function:

```python
# Import required libraries
from hana_ml.algorithms.pal.stats import kaplan_meier_survival_analysis
from hana_ml import DataFrame

# Assuming that connection_context is the connection to the HANA database
# Create DataFrame from existing HANA table
df = DataFrame(connection_context, 'YOUR_TABLE_NAME')

# Perform Kaplan-Meier survival analysis
survival_estimates, res, stats = kaplan_meier_survival_analysis(data=df, event_indicator=1, conf_level=0.95)

# Print results
print(survival_estimates.collect())
print(res.collect())
print(stats.collect())
```

Please replace `'YOUR_TABLE_NAME'` with the name of your table in the HANA database. This code assumes that you have a connection to the HANA database named `connection_context`.