The quantile function in the hana_ml.algorithms.pal.stats module evaluates the inverse of the cumulative distribution function (CDF) or the inverse of the complementary cumulative distribution function (CCDF) for a given probability and probability distribution, using data from a DataFrame and a dictionary containing distribution information.
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Here is a Python code template based on the provided documentation:

```python
# Import required module
from hana_ml.algorithms.pal import stats

# Define your data and distribution information
data = # Your DataFrame here
distr_info = # Your distribution information here

# Optional parameters
col = # Your column name here, if not provided, it defaults to the first column
complementary = # True or False, defaults to False

# Apply the quantile function
res = stats.quantile(data=data, distr_info=distr_info, col=col, complementary=complementary)

# Print the results
print(res.collect())
```

Please replace the comments with actual values as per your requirements.