What is the method for concealing a Styler DataFrame column in Streamlit?

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To conceal a Styler DataFrame column in Streamlit, we can use the hide_columns method from the pandas Styler object.

Here is an example code snippet:

import streamlit as st
import pandas as pd

# create a sample dataframe
df = pd.DataFrame({
    'name': ['Alice', 'Bob', 'Charlie', 'David'],
    'age': [25, 30, 35, 40],
    'income': [50000, 60000, 70000, 80000]
})

# create a Styler object from the dataframe
styler = df.style

# hide the 'income' column
styler = styler.hide_columns(['income'])

# display the styled table in Streamlit
st.write(styler)

In this code snippet, we first create a sample dataframe df. Then we create a Styler object from the dataframe using the style method.

Next, we use the hide_columns method to hide the 'income' column. This method takes a list of column names as argument.

Finally, we display the styled table in Streamlit using the write method. The 'income' column will be hidden in the displayed table.