apps/parameters_distribution.py

import pandas as pd
import plotly.express as px
import streamlit as st
from pyxlsb import open_workbook

st.title("📊 Parameters distribution Analyzer")

uploaded_file = st.file_uploader("Upload an .xlsb Dump file", type="xlsb")

if uploaded_file:
    # Get sheet names
    with open_workbook(uploaded_file) as wb:
        sheet_names = wb.sheets

    # Dropdown for Object Class (sheet)
    object_class = st.selectbox("Select Object Class (Sheet)", sheet_names)

    if object_class:
        # Read the selected sheet, skip first row
        df: pd.DataFrame = pd.read_excel(
            uploaded_file, sheet_name=object_class, skiprows=[0], engine="calamine"
        )

        if df.empty:
            st.warning("The selected sheet is empty or couldn't be read.")
        else:

            parameters = st.multiselect("Select Parameter(s)", df.columns)

            if parameters:
                for param in parameters:
                    st.markdown(f"---\n### 🔹 {param}")
                    col1, col2 = st.columns(2)

                    # Distribution table
                    with col1:
                        dist = df[param].value_counts(dropna=False).reset_index()
                        dist.columns = [param, "Count"]
                        dist["Percentage"] = (
                            dist["Count"] / dist["Count"].sum() * 100
                        ).apply(lambda x: f"{x:.2f}%")
                        st.dataframe(dist, use_container_width=True)

                    # Bar chart
                    with col2:
                        chart_data = dist.set_index(param)
                        fig = px.bar(
                            chart_data.reset_index(),
                            x=param,
                            y="Count",
                            text_auto=True,
                            title=f"{param} Distribution",
                            hover_data=["Count", "Percentage"],
                        )
                        fig.update_xaxes(type="category")
                        st.plotly_chart(fig)