The function 'gumbel' in the 'hana_ml.algorithms.pal.random' module draws samples from a Gumbel distribution, which is used in modeling extreme value problems, and returns a DataFrame containing the generated random samples.
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Here is a Python code template based on the provided documentation:

```python
from hana_ml.algorithms.pal.random import gumbel
from hana_ml import dataframe as df

# Assuming that a connection context 'cc' is already created

# Set parameters
location = 0
scale = 1
num_random = 10
seed = None
thread_ratio = None

# Draw samples from a Gumbel distribution
res = gumbel(conn_context=cc, location=location, scale=scale, num_random=num_random, seed=seed, thread_ratio=thread_ratio)

# Collect and print the result
print(res.collect())
```

Please replace `'cc'` with your actual connection context. Also, you can adjust the parameters (`location`, `scale`, `num_random`, `seed`, `thread_ratio`) as per your requirements.