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Add files via upload #1

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30 changes: 19 additions & 11 deletions italy.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
import streamlit as st
import pandas as pd
import plotly.express as px
import datetime

header = st.beta_container()
dataset = st.beta_container()
Expand All @@ -19,40 +20,47 @@
st.write(data_graph.head())

st.subheader('Total of Doses by Supplier')
doses = pd.DataFrame(data_graph.groupby(["supplier"])["first_dose","second_dose"].sum()).head(50)
doses = pd.DataFrame(data_graph.groupby(["supplier"])["first_dose","second_dose"].sum()).head()
st.bar_chart(doses)

st.subheader('Total of Doses by Region')
regions = pd.DataFrame(data_graph.groupby(["region_name"])["Total_doses"].sum()).head(50)
regions = pd.DataFrame(data_graph.groupby(["region_name"])["Total_doses"].sum()).head()
st.bar_chart(data=regions)

st.subheader('Choose the Best combination between date and age range for you')
st.sidebar.subheader('Choose the Best combination between date and age range for you')
st.subheader('Combination between date and age range for you')

data_graph['administration_date'] = pd.to_datetime(data_graph['administration_date']).dt.strftime('%Y-%m-%d')
start_date = pd.Timestamp(st.sidebar.date_input('Start date', datetime.date(2020,12,27), min_value=datetime.date(2020,12,27), max_value=datetime.date(2021,5,19)))
end_date = pd.Timestamp(st.sidebar.date_input('End date', datetime.date(2021,5,25), min_value=datetime.date(2021,5,25), max_value=datetime.date(2021,5,20)))
data_graph = data_graph.loc[(data_graph['administration_date']>= start_date) & (data_graph['administration_date']<= end_date),:]

age_options = data_graph['age_range'].unique().tolist()
#def vis(filter_data,list_countries,dt_choice_normal, dt_choice_cases, start_date, end_date,df_pop):
#filter_data['Date'] = pd.to_datetime(filter_data['Date'], format='%m/%d/%y')
#filter_data = filter_data.loc[(filter_data['Date'] >= start_date) & (filter_data['Date'] <= end_date),:]
date_options = data_graph['administration_date'].unique().tolist()

date = st.selectbox("Which date would you like to see", date_options,100)
age = st.multiselect("Which Age Range would you like to see", age_options, ['80-89'])
start_date = pd.Timestamp(st.sidebar.date_input('Start date', datetime.date(2020,12,27), min_value=datetime.date(2020,12,27), max_value=datetime.date(2021,5,19)))
age = st.sidebar.multiselect("Which Age Range would you like to see", age_options, ['80-89'])

data_graph = data_graph[data_graph['age_range'].isin(age)]
data_graph = data_graph[data_graph['administration_date']==date]
data_graph = data_graph[data_graph['administration_date']]

fig2 = px.bar(data_graph,x="age_range",y="Total_doses",color="age_range", range_y=[0,35000])

fig2.update_layout(width=800)

st.write(fig2)

st.subheader('Choose the Best combination between supplier and age range for you')

st.sidebar.subheader('Choose the Best combination between supplier and age range for you')
st.subheader('Combination between supplier and age range for you')

supplier_options = data_graph['supplier'].unique().tolist()
age_option = data_graph['age_range'].unique().tolist()
age_option2 = data_graph['age_range'].unique().tolist()

suppliers = st.selectbox("Which supplier would you like to see", supplier_options,1)
age2 = st.multiselect("Which Age Range would you like to see", age_option, ['80-89'])
age2 = st.sidebar.multiselect("Which Age Range would you like to see", age_option2, ['80-89'])
suppliers = st.sidebar.selectbox("Which supplier would you like to see", supplier_options,1)

data_graph = data_graph[data_graph['age_range'].isin(age2)]
data_graph = data_graph[data_graph['supplier']==suppliers]
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