PyCafe - Streamlit - Streamlit on Pycafe

PyCafe Default app.py
app.py
requirements.txt
app.py
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import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
import streamlit as st

#######################################
# PAGE SETUP
#######################################

st.set_page_config(page_title="Market Dashboard", page_icon=":bar_chart:", layout="wide")

st.title("Market Streamlit Dashboard")
st.markdown("_Prototype v0.4.1_")

with st.sidebar:
    st.header("Configuration")
    uploaded_file = st.file_uploader("Choose a file")

if uploaded_file is None:
    st.info(" Upload a file through config", icon="ℹ️")
    st.stop()

#######################################
# DATA LOADING
#######################################

@st.cache_data
def load_data(path: str):
    df = pd.read_excel(path)
    return df

df = load_data(uploaded_file)
all_months = ["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"]

with st.expander("Data Preview"):
    st.dataframe(
        df,
        column_config={"Year": st.column_config.NumberColumn(format="%d")},
    )

#######################################
# VISUALIZATION METHODS
#######################################


#######################################
# STREAMLIT LAYOUT
#######################################

top_left_column, top_right_column = st.columns((2, 1))
bottom_left_column, bottom_right_column = st.columns(2)

with top_left_column:
    column_1, column_2, column_3, column_4 = st.columns(4)

    with column_1:
        is_Sales = df['Account'] == "Sales"
        st.dataframe(df[is_Sales])

    with column_2:
        pass

    with column_3:
        pass

    with column_4:
        pass

with top_right_column:
    pass

with bottom_left_column:
    pass

with bottom_right_column:
    pass
Py.Cafe

streamlit-on-pycafe

Streamlit on Pycafe
