Hi all!
I created this Python library that can be used to enhance searching and filtering on a DataFrame.
This library can be used as a with-statement wrapper to feed the st.dataframe or st.dataeditor with a filtered Pandas DataFrame that has been styled to highlight cells that match the search criteria. Also, color customization and regex can be used to search.
Sample Code:
import streamlit as st
from vega_datasets import local_data
import pandas as pd
import numpy as np
from df_global_search import DataFrameSearch
st.set_page_config(layout="wide")
st.subheader("Filter DataFrame based on Search")
search_bar_columns = st.columns((2, 1, 0.5, 0.75, 1))
with search_bar_columns[1]:
search_text = st.text_input(
"Search", label_visibility="collapsed", placeholder="Search Text"
)
with search_bar_columns[2]:
is_regex = st.toggle("Regex", value=False)
with search_bar_columns[3]:
case_sensitive = st.toggle("Case Sensitive", value=False)
with search_bar_columns[4]:
highlight_match = st.toggle("Highlight Matching Cells", value=True)
df = pd.DataFrame(local_data.airports())
with st.echo():
with DataFrameSearch(
dataframe=df,
text_search=search_text,
case_sensitive=case_sensitive,
regex_search=is_regex,
highlight_matches=highlight_match,
) as df:
st.dataframe(data=df, use_container_width=True, hide_index=True)
Links:
