File size: 912 Bytes
1c5c2a8 6c9d8ed 1c5c2a8 6c9d8ed 1c5c2a8 6c9d8ed | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | import streamlit as st
import pandas as pd
def create_resource_page():
st.title("Meteonet Dataset")
with st.columns([0.1,0.8,0.1])[1]:
st.image(image="src/media/meteonet.png", caption="Regions explored in Meteonet Dataset", width=1000)
data = {
"Data Type": ["Total Rain radar images", "Total Satellite Images", "Total Wind maps in U direction", "Total Wind maps in V direction"],
"2016": [105389, 8751, 9100, 9100],
"2017": [105105, 8745, 8683, 8683],
"2018": [105103, 8744, 8159, 8066],
"Total": [315597, 26240, 25942, 25849]
}
df = pd.DataFrame(data).set_index("Data Type")
st.write("""
Dataset Used for this is the Meteonet Dataset by Meteo France: [Meteonet](https://meteofrance.github.io/meteonet). We have utilized below data sources from the dataset in training and testing the application.""")
st.table(df)
|