├── .gitignore ├── LICENSE ├── README.md ├── assets └── img1.png └── src ├── connection.json ├── my_snowpark_streamlit_app.py └── new_snowpark_streamlit_app.py /.gitignore: -------------------------------------------------------------------------------- 1 | .DS_Store 2 | 3 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. 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We also recommend that a 185 | file or class name and description of purpose be included on the 186 | same "printed page" as the copyright notice for easier 187 | identification within third-party archives. 188 | 189 | Copyright [yyyy] [name of copyright owner] 190 | 191 | Licensed under the Apache License, Version 2.0 (the "License"); 192 | you may not use this file except in compliance with the License. 193 | You may obtain a copy of the License at 194 | 195 | http://www.apache.org/licenses/LICENSE-2.0 196 | 197 | Unless required by applicable law or agreed to in writing, software 198 | distributed under the License is distributed on an "AS IS" BASIS, 199 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 200 | See the License for the specific language governing permissions and 201 | limitations under the License. 202 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Getting Started with Snowpark for Python and Streamlit 2 | 3 | ### ➡️ For overview, prerequisites, and to learn more, complete this end-to-end tutorial on [quickstarts.snowflake.com.](https://quickstarts.snowflake.com/guide/getting_started_with_snowpark_for_python_streamlit/index.html?index=..%2F..index#0) 4 | 5 |
6 | 7 | ___ 8 | 9 |
10 | 11 | ![App](/assets/img1.png) 12 | 13 |
14 | 15 | ___ 16 | -------------------------------------------------------------------------------- /assets/img1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Snowflake-Labs/sfguide-snowpark-for-python-streamlit/49ecb9eb34e5dfd479692c6bcad792bd1fab969f/assets/img1.png -------------------------------------------------------------------------------- /src/connection.json: -------------------------------------------------------------------------------- 1 | { 2 | "account" :"", 3 | "user" :"", 4 | "password" :"", 5 | "role" :"", 6 | "warehouse" :"", 7 | "database" :"", 8 | "schema" :"" 9 | } 10 | -------------------------------------------------------------------------------- /src/my_snowpark_streamlit_app.py: -------------------------------------------------------------------------------- 1 | # Snowpark 2 | from snowflake.snowpark.session import Session 3 | from snowflake.snowpark.functions import avg, sum, col,lit 4 | import streamlit as st 5 | import pandas as pd 6 | 7 | st.set_page_config( 8 | page_title="Environment Data Atlas", 9 | page_icon="🧊", 10 | layout="wide", 11 | initial_sidebar_state="expanded", 12 | menu_items={ 13 | 'Get Help': 'https://developers.snowflake.com', 14 | 'About': "This is an *extremely* cool app powered by Snowpark for Python, Streamlit, and Snowflake Data Marketplace" 15 | } 16 | ) 17 | 18 | # Create Session object 19 | def create_session_object(): 20 | connection_parameters = { 21 | "account" : "", 22 | "user" : "", 23 | "password" : "", 24 | "role" : "", 25 | "warehouse" : "", 26 | "database" : "KNOEMA_ENVIRONMENT_DATA_ATLAS", 27 | "schema" : "ENVIRONMENT" 28 | } 29 | session = Session.builder.configs(connection_parameters).create() 30 | return session 31 | 32 | # Add header and a subheader 33 | st.header("Knoema: Environment Data Atlas") 34 | st.subheader("Powered by Snowpark for Python and Snowflake Data Marketplace | Made with Streamlit") 35 | 36 | # Create Snowpark DataFrames that loads data from Knoema: Environmental Data Atlas 37 | def load_data(session): 38 | # CO2 Emissions by Country 39 | snow_df_co2 = session.table("ENVIRONMENT.EDGARED2019").filter(col('Indicator Name') == 'Fossil CO2 Emissions').filter(col('Type Name') == 'All Type') 40 | snow_df_co2 = snow_df_co2.group_by('Location Name').agg(sum('$16').alias("Total CO2 Emissions")).filter(col('Location Name') != 'World').sort('Location Name') 41 | 42 | # Forest Occupied Land Area by Country 43 | snow_df_land = session.table("ENVIRONMENT.\"WBWDI2019Jan\"").filter(col('Series Name') == 'Forest area (% of land area)') 44 | snow_df_land = snow_df_land.group_by('Country Name').agg(sum('$61').alias("Total Share of Forest Land")).sort('Country Name') 45 | 46 | # Total Municipal Waste by Country 47 | snow_df_waste = session.table("ENVIRONMENT.UNENVDB2018").filter(col('Variable Name') == 'Municipal waste collected') 48 | snow_df_waste = snow_df_waste.group_by('Location Name').agg(sum('$12').alias("Total Municipal Waste")).sort('Location Name') 49 | 50 | # Convert Snowpark DataFrames to Pandas DataFrames for Streamlit 51 | pd_df_co2 = snow_df_co2.to_pandas() 52 | pd_df_land = snow_df_land.to_pandas() 53 | pd_df_waste = snow_df_waste.to_pandas() 54 | 55 | # Use columns to display the three dataframes side-by-side along with their headers 56 | col1, col2, col3 = st.columns(3) 57 | with st.container(): 58 | with col1: 59 | st.subheader('CO2 Emissions by Country') 60 | st.dataframe(pd_df_co2) 61 | with col2: 62 | st.subheader('Forest Occupied Land Area by Country') 63 | st.dataframe(pd_df_land) 64 | with col3: 65 | st.subheader('Total Municipal Waste by Country') 66 | st.dataframe(pd_df_waste) 67 | 68 | # Display an interactive chart to visualize CO2 Emissions by Top N Countries 69 | with st.container(): 70 | st.subheader('CO2 Emissions by Top N Countries') 71 | with st.expander(""): 72 | emissions_threshold = st.slider(label='Emissions Threshold',min_value=5000, value=20000, step=5000) 73 | pd_df_co2_top_n = snow_df_co2.filter(col('Total CO2 Emissions') > emissions_threshold).to_pandas() 74 | st.bar_chart(data=pd_df_co2_top_n.set_index('Location Name'), width=850, height=500, use_container_width=True) 75 | 76 | if __name__ == "__main__": 77 | session = create_session_object() 78 | load_data(session) 79 | -------------------------------------------------------------------------------- /src/new_snowpark_streamlit_app.py: -------------------------------------------------------------------------------- 1 | # Snowpark 2 | from snowflake.snowpark.session import Session 3 | from snowflake.snowpark.functions import avg, sum, col,lit,in_ 4 | # Misc 5 | import pandas as pd 6 | import json 7 | import altair as alt 8 | 9 | #Streamlit 10 | import streamlit as st 11 | st.set_page_config( 12 | page_title="Environment Data Atlas", 13 | page_icon="🧊", 14 | layout="wide", 15 | initial_sidebar_state="expanded", 16 | menu_items={ 17 | 'Get Help': 'https://developers.snowflake.com', 18 | 'About': "This is an *extremely* cool app powered by Snowpark for Python, Snowflake Data Marketplace and Streamlit" 19 | } 20 | ) 21 | 22 | def create_session(): 23 | if "snowpark_session" not in st.session_state: 24 | connection_parameters = json.load(open('connection.json')) 25 | session = Session.builder.configs(connection_parameters).create() 26 | st.session_state['snowpark_session'] = session 27 | else: 28 | session = st.session_state['snowpark_session'] 29 | 30 | return session 31 | 32 | @st.experimental_memo() 33 | def load_data(): 34 | # CO2 Emissions 35 | snow_df_co2 = session.table("EDGARED2019").filter(col('Indicator Name') == 'Fossil CO2 Emissions').filter(col('Type Name') == 'All Type').sort('"Date"') 36 | 37 | # Forest Occupied Land Area by Country 38 | snow_df_land = session.table("\"WBWDI2019Jan\"").filter(col('Series Name') == 'Forest area (% of land area)') 39 | snow_df_land = snow_df_land.group_by('Country Name').agg(sum('$61').alias("Total Share of Forest Land")).sort('Country Name') 40 | 41 | return snow_df_co2.to_pandas(), snow_df_land.to_pandas() 42 | 43 | # Add header and a sidebar 44 | st.markdown("

Knoema: Environment Data Atlas

", unsafe_allow_html=True) 45 | session = create_session() 46 | df_co2_overtime, df_forest_land = load_data() 47 | 48 | def main_page(): 49 | st.markdown("### CO2 Emissions By Countries") 50 | 51 | countries = ['United States','China','Russia','India','United Kingdom','Germany','Japan','Canada'] 52 | selected_countries = st.multiselect('',countries, default = countries) 53 | st.write("") 54 | st.markdown("___") 55 | 56 | # Display an interactive chart to visualize CO2 Emissions over time by Country 57 | with st.container(): 58 | st.subheader('CO2 Emissions by Countries Over Time') 59 | countries_list = countries if len(selected_countries) == 0 else selected_countries 60 | df_co2_overtime_filtered = df_co2_overtime[df_co2_overtime['Location Name'].isin(countries_list)] 61 | line_chart = alt.Chart(df_co2_overtime_filtered).mark_line( 62 | color="lightblue", 63 | line=True, 64 | point=alt.OverlayMarkDef(color="red") 65 | ).encode( 66 | x='Date', 67 | y='Value', 68 | color='Location Name', 69 | tooltip=['Location Name','Date','Value'] 70 | ) 71 | st.altair_chart(line_chart, use_container_width=True) 72 | 73 | def page2(): 74 | st.markdown("### Forest Occupied Land") 75 | 76 | threshold = st.slider(label='Forest Occupied Land By Countries',min_value=1000, max_value=2500, value=1800, step=200) 77 | st.write("") 78 | st.markdown("___") 79 | 80 | # Display an interactive chart to visualize Forest Occupied Land Area by Countries 81 | with st.container(): 82 | st.subheader('Forest Occupied Land Area by Countries') 83 | filter = df_forest_land['Total Share of Forest Land'] > threshold 84 | pd_df_land_top_n = df_forest_land.where(filter) 85 | st.bar_chart(data=pd_df_land_top_n.set_index('Country Name'), width=850, height=400, use_container_width=True) 86 | 87 | page_names_to_funcs = { 88 | "CO2 Emissions": main_page, 89 | "Forest Occupied Land": page2 90 | } 91 | 92 | selected_page = st.sidebar.selectbox("Select", page_names_to_funcs.keys()) 93 | page_names_to_funcs[selected_page]() 94 | --------------------------------------------------------------------------------