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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@author: hamzafarooq@ MABA CLASS
"""
import streamlit as st
import pandas as pd
import plotly.express as px
st.title("Uma")
st.markdown("This is a demo Streamlit app.")
st.markdown("My name is UN, hello world!..")
st.markdown("This is v2")
@st.cache(persist=True)
def load_data():
df = pd.read_csv("https://datahub.io/machine-learning/iris/r/iris.csv")
return(df)
def run():
st.subheader("Iris Data Loaded into a Pandas Dataframe.")
df = load_data()
disp_head = st.sidebar.radio('Select DataFrame Display Option:',('Head', 'All'),index=0)
#Multi-Select
#sel_plot_cols = st.sidebar.multiselect("Select Columns For Scatter Plot",df.columns.to_list()[0:4],df.columns.to_list()[0:2])
#Select Box
#x_plot = st.sidebar.selectbox("Select X-axis Column For Scatter Plot",df.columns.to_list()[0:4],index=0)
#y_plot = st.sidebar.selectbox("Select Y-axis Column For Scatter Plot",df.columns.to_list()[0:4],index=1)
if disp_head=="Head":
st.dataframe(df.head())
else:
st.dataframe(df)
#st.table(df)
#st.write(df)
#Scatter Plot
fig = px.scatter(df, x=df["sepallength"], y=df["sepalwidth"], color="class",
size='petallength', hover_data=['petalwidth'])
fig.update_layout({
'plot_bgcolor': 'rgba(0, 0, 0, 0)'})
fig.update_xaxes(showgrid=True, gridwidth=1, gridcolor='lightgray')
fig.update_yaxes(showgrid=True, gridwidth=1, gridcolor='lightgray')
st.write("\n")
st.subheader("Scatter Plot")
st.plotly_chart(fig, use_container_width=True)
#Add images
#images = ["<image_url>"]
#st.image(images, width=600,use_container_width=True, caption=["Iris Flower"])
if __name__ == '__main__':
run()
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