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.
Asked: 2023-07-07 06:25:10 +0000
Seen: 12 times
Last updated: Jul 07 '23