stackedbar.py

import streamlit as st
import plotly.figure_factory as ff
import numpy as np
import pandas as pd
import plotly.express as px
#in this one I'm letting people see all of the items for a portal. So they pic that, the data is filtered
#and then you get a chart with all of the items
def comparebar():
	# Add histogram data
	df = pd.read_csv("https://raw.githubusercontent.com/tyrin/info-topo-dash/master/data/freshdata.csv")

	#define variables that the customer will input
	portal=""
	sdf=df.sort_values(by='Portal')
	site= sdf['Portal'].unique()

	portal = st.sidebar.multiselect(
	'Portal:', site)
	message = st.empty()
	if len(portal) == 0:
		message.text("Select a portal")
	#filter the data by the selected portal

	if len(portal) > 0:
		dff = df.loc[df['Portal'].isin(portal)]
		dfs = dff.sort_values(by='Group')
		#group = dfs['Group'].unique()
		# convert the 'Date' column to datetime format
		dfs['Date']= pd.to_datetime(df['Date'])

		# Check the format of 'Date' column
		#dfs.info()

		fig = px.histogram(dfs, x="Date", color="Group")

		## Create distplot with custom bin_size
		#fig = ff.create_distplot(
		#     hist_data, group, bin_size=[.1, .25, .5])
		#
		## Plot!
		st.plotly_chart(fig, use_container_width=True)

#		st.dataframe(dfs)
#	@st.cache
#	def convert_df(dff):
#	   return dff.to_csv().encode('utf-8')
#	if len(portal) != 0:
#		csv = convert_df(dff)
#
#		st.download_button(
#		   "Press to Download",
#		   csv,
#		   "freshness.csv",
#		   "text/csv",
#		   key='download-csv'
#		)