The chi_squared function in the hana_ml.algorithms.pal.random module draws samples from a chi_squared distribution, with parameters for database connection, degrees of freedom, number of random data to be generated, seed for the random number generator, and thread ratio.
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Here is a Python code template based on the provided documentation:

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

# Create a connection context
cc = df.ConnectionContext(address='<address>', port='<port>', user='<user>', password='<password>')

# Set parameters
dof = 1
num_random = 100
seed = None
thread_ratio = None

# Draw samples from a chi_squared distribution
res = chi_squared(conn_context=cc, dof=dof, num_random=num_random, seed=seed, thread_ratio=thread_ratio)

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

Please replace `<address>`, `<port>`, `<user>`, and `<password>` with your actual database connection details. You can also adjust the parameters `dof`, `num_random`, `seed`, and `thread_ratio` according to your needs.