Finally, if you use a more specific Streamlit method you can pass additional
   arguments to customize its behavior.
For example, let's create a data frame and change its formatting with a Pandas
Styler object. In this example, you'll use Numpy to generate a random sample,
and the st.dataframe() method to draw an
interactive table.
This example uses Numpy to generate a random sample, but you can use Pandas
DataFrames, Numpy arrays, or plain Python arrays.
```python
import streamlit as st
import numpy as np
dataframe = np.random.randn(10, 20)
st.dataframe(dataframe)
```
Let's expand on the first example using the Pandas Styler object to highlight
some elements in the interactive table.
```python
import streamlit as st
import numpy as np
import pandas as pd
dataframe = pd.DataFrame(
    np.random.randn(10, 20),
