The function create_dataframe_from_pandas in the hana_ml.dataframe module uploads data from a Pandas DataFrame to a SAP HANA database and returns a SAP HANA DataFrame, with various parameters to customize the upload process such as table name, schema, force, replace, object type, table structure, and more.
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Here is the executable code template for the function `create_dataframe_from_pandas`:

```python
from hana_ml import dataframe
from hana_ml.dataframe import ConnectionContext

# Create a connection to the SAP HANA database instance
connection_context = ConnectionContext(address='<address>', port='<port>', user='<user>', password='<password>')

# Assuming pandas_df is your pandas DataFrame
pandas_df = ...

# Define the table name in the SAP HANA database
table_name = '<table_name>'

# Call the function
df = dataframe.create_dataframe_from_pandas(
    connection_context=connection_context,
    pandas_df=pandas_df,
    table_name=table_name,
    schema=None,
    force=False,
    replace=False,
    object_type_as_bin=False,
    table_structure=None,
    drop_exist_tab=True,
    allow_bigint=False,
    geo_cols=None,
    srid=4326,
    primary_key=None,
    not_nulls=None,
    chunk_size=50000,
    disable_progressbar=False,
    upsert=False,
    append=False
)

# df is now a SAP HANA DataFrame that contains the data in pandas_df
```

Please replace `<address>`, `<port>`, `<user>`, `<password>` and `<table_name>` with your actual values. Also, `pandas_df` should be your actual pandas DataFrame.