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import os
import sys
src_directory = os.path.abspath(os.path.join(os.path.dirname(__file__), "../..", "frontend"))
sys.path.append(src_directory)
import streamlit as st
import streamlit_functions
import pandas as pd
def load_data(file):
try:
data = pd.read_csv(file)
return data
except Exception as e:
st.error(f"Error loading file: {e}")
return None
st.title("World Population Data")
st.sidebar.title("Navigation")
choosen_data = streamlit_functions.choose_data_to_view(st)
if choosen_data == "Show All Continents":
option = choosen_data.replace(" ", "")
streamlit_functions.display_contents(option, st)
elif choosen_data == "Show All Countries":
option = choosen_data.replace(" ", "")
streamlit_functions.display_contents(option, st)
elif choosen_data == "Show Continent Stats":
streamlit_functions.display_stats(st, choosen_data)
elif choosen_data == "Show Country Stats":
streamlit_functions.display_stats(st, choosen_data)
elif choosen_data == "Show Continent Wise Data":
clean_choosen_data = choosen_data.replace(" ", "")
attribute = streamlit_functions.choose_attribute_to_view(st)
if attribute in ["Population","Area"]:
option = f"{clean_choosen_data}/{attribute}"
streamlit_functions.display_contents(option,st)
elif choosen_data == "Show Country Data":
clean_choosen_data = choosen_data.replace(" ", "")
country_list = streamlit_functions.get_list("ShowAllCountries")
choosen_country = streamlit_functions.choose_data_from_list(st,country_list)
clean_country = choosen_country.replace(" ","").capitalize()
attribute = streamlit_functions.choose_attribute_to_view(st)
if attribute in ["Population","Area"]:
option = f"{clean_choosen_data}/{clean_country}/{attribute}"
streamlit_functions.display_contents(option,st)
elif choosen_data == "Upload Custom CSV":
uploaded_file = st.sidebar.file_uploader("Choose a CSV file", type=['csv'])
if uploaded_file is not None:
data = load_data(uploaded_file)
if data is not None:
st.write("Data Preview:", data.head())
if "Continent" in data.columns and "Population" in data.columns:
continent_data = data.groupby("Continent")["Population"].sum().reset_index()
st.write("Continent-wise Population Summary:", continent_data)
else:
st.warning("The uploaded CSV does not contain 'Continent' or 'Population' columns.")
else:
st.warning("There was an error loading the file. Please check the format and try again.")
else:
st.write("Please choose an option from the sidebar to view the data.") |