gistfile1.txt

import streamlit as st
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

# Create sample dataframes for demonstration
DF_CALC = pd.DataFrame(
    {
        "Name": ["USD_EQXR", "GBP_EQXR", "EUR_CDS", "JPY_CDS", "GOLD_PRICE"],
        "Status": [
            "Calc-Error",
            "Late-Collection",
            "GOOD",
            "GOOD",
            "Collect-Error",
        ],
        "Error": [
            "Cannot div by zero",
            "Data delayed, recalc to proceed",
            "",
            "",
            "Series redacted",
        ],
    }
)
DF_CALC_2 = pd.DataFrame(
    {
        "Name": ["USD_EQXR", "GBP_EQXR", "EUR_CDS", "JPY_CDS", "GOLD_PRICE"],
        "Status": ["GOOD", "GOOD", "GOOD", "GOOD", "Collect-Error"],
        "Error": ["", "", "", "", "Series redacted"],
    }
)
DF_COLLECT = pd.DataFrame(
    {
        "Product": ["GBP_EQXR", "GOLD_PRICE"],
        "Status": ["Collect-Error", "Collect-Error"],
        "Provider": ["MB", "DS"],
        "Underlying Series": ["gbp_usd_eqxr", "comex_gold_price"],
        "Error": ["Source did not provide data", "Data not available"],
    }
)
DF_COLLECT_2 = pd.DataFrame(
    {
        "Product": [ "GOLD_PRICE"],
        "Status": ["Collect-Error"],
        "Provider": ["DS"],
        "Underlying Series": ["comex_gold_price"],
        "Error": [ "Data not available"],
    }
)



def chart_page():
    st.title("Chart Page")
    st.write("Here is a simple chart.")
    data = pd.DataFrame(np.random.randn(20, 2), columns=["X", "Y"])
    st.line_chart(data)


def table_page():
    st.title("Table Page")
    st.write("Multiple dataframes displayed in separate tabs.")

    # Create sample dataframes for demonstration
    df_calc, df_collect = DF_CALC, DF_COLLECT

    # Create tabs for each dataframe
    tab1, tab2 = st.tabs(["Calc-Errors", "Collect-Errors"])

    with tab1:
        st.subheader("Calc-Errors")
        st.dataframe(df_calc)

    with tab2:
        st.subheader("Products Data")
        st.dataframe(df_collect)


def buttons_page():
    st.title("Buttons Page")
    st.write("Here are some buttons with links.")
    st.button(
        "Macrosynergy Academy",
        on_click=lambda: st.write(
            "[Macrosynergy Academy](https://academy.macrosynergy.com)"
        ),
    )
    st.button(
        "JPMaQS on JPMM",
        on_click=lambda: st.write("[JPMaQS on JPMM](https://www.jpmm.com/#jpmaqs)"),
    )
    st.button(
        "Macrosynergy Package docs",
        on_click=lambda: st.write(
            "[Macrosynergy Package docs](https://docs.macrosynergy.com)"
        ),
    )


def multi_charts_page():
    st.title("Multi-Chart Page")
    st.write("Select a chart type from the dropdown.")
    chart_type = st.selectbox(
        "Select Chart Type", ["Line Chart", "Bar Chart", "Scatter Plot"]
    )

    data = pd.DataFrame(np.random.randn(20, 2), columns=["X", "Y"])

    if chart_type == "Line Chart":
        st.line_chart(data)
    elif chart_type == "Bar Chart":
        st.bar_chart(data)
    elif chart_type == "Scatter Plot":
        # fig, ax = plt.subplots()
        # ax.scatter(data["X"], data["Y"])
        # st.pyplot(fig)
        st.scatter_chart(data)


def main():
    st.set_page_config(page_title="Multi-Page App", layout="wide")
    st.sidebar.title("Navigation")
    page = st.sidebar.radio("Go to", ["Chart", "Table", "Buttons", "Multi-Charts"])

    if page == "Chart":
        chart_page()
    elif page == "Table":
        table_page()
    elif page == "Buttons":
        buttons_page()
    elif page == "Multi-Charts":
        multi_charts_page()


if __name__ == "__main__":
    main()