app.py

import pandas as pd  # pip install pandas openpyxl
import plotly.express as px  # pip install plotly-express
import streamlit as st  # pip install streamlit

# emojis: https://www.webfx.com/tools/emoji-cheat-sheet/
st.set_page_config(page_title="Expense Dashboard", page_icon=":bar_chart:", layout="wide")
st.title("Expense Dashboard")
df= pd.read_csv("expense.csv")


st.sidebar.header("Please Filter Here:")
spender = st.sidebar.multiselect(
    "Select the Spender:",
    options=df["Spender_Name"].unique(),
    default=df["Spender_Name"].unique()
)


st.sidebar.header("Please Filter Here:")
purpose = st.sidebar.multiselect(
    "Select the Category:",
    options=df["Main_Purpose"].unique(),
    default=df["Main_Purpose"].unique()
)


df_selection = df.query(
    "Spender_Name == @spender & Main_Purpose ==@purpose "
)






total_exp = df_selection.groupby(by=["Spender_Name"]).sum()

fig_exp = px.bar(total_exp,
   template="plotly_white",
   title="<b>Total Expense</b>",
 
)

total_amt = df_selection.groupby(by=["Main_Purpose"]).sum()

fig_amt = px.bar(total_amt,
   template="plotly_white",
   title="<b>Total Expense Category-Wise</b>",
 
)

left_column, right_column = st.columns(2)
left_column.plotly_chart(fig_exp, use_container_width=True)
right_column.plotly_chart(fig_amt, use_container_width=True)


# ---- HIDE STREAMLIT STYLE ----
hide_st_style = """
            <style>
            #MainMenu {visibility: hidden;}
            footer {visibility: hidden;}
            header {visibility: hidden;}
            </style>
            """
st.markdown(hide_st_style, unsafe_allow_html=True)