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import streamlit as st
import pandas as pd
import plotly.express as px
from datasets import load_dataset
import os
# @st.cache()
def bar_chart(counts_df):
fig = px.bar(counts_df, x = 'car', y = 'large_vehicle')
# fig_app_by_arc.update_layout(
# xaxis_title="Name",
# yaxis_title="",
# )
return fig
def daily_average(counts_df):
filtered_views_list = ['View_from_Second_Link_at_Tuas_to_sg',
'View_from_Second_Link_at_Tuas_to_jh',
'View_from_Tuas_Checkpoint_to_sg',
'View_from_Tuas_Checkpoint_to_jh',
'View_from_Woodlands_Causeway_Towards_Johor_to_sg',
'View_from_Woodlands_Causeway_Towards_Johor_to_jh',
'View_from_Woodlands_Checkpoint_Towards_BKE_to_sg',
'View_from_Woodlands_Checkpoint_Towards_BKE_to_jh']
counts_df_filter_views = counts_df[counts_df['view'].isin(filtered_views_list)]
counts_df_filter_views['date'] = pd.to_datetime(counts_df_filter_views['date'])
counts_df_filter_views['day_of_week'] = counts_df_filter_views['date'].dt.day_of_week
date_view_group = counts_df_filter_views.groupby(by=['view', 'day_of_week']).mean()
date_view_group = date_view_group.reset_index()
def main():
# comment out for local testing, but be sure to include after testing
dataset = load_dataset("tappyness1/causion", use_auth_token=os.environ['TOKEN'])
# print (dataset)
# print (pd.DataFrame(dataset['train']))
counts_df = pd.DataFrame(dataset['train'])
# only use this part before for local testing
# once local testing is completed, comment out and use the dataset above
# counts_df = pd.read_csv("data/counts_dataset.csv")
# st.set_page_config(layout="wide")
height = 650
st.markdown(""" <style>
#MainMenu {visibility: hidden;}
footer {visibility: hidden;}
</style> """,
unsafe_allow_html=True
)
# Select Plot Option
st.sidebar.markdown("Checkboxes")
checkbox_one = st.sidebar.checkbox('Lorem Ip', value = True) # rename as necessary
checkbox_two = st.sidebar.checkbox('Lorem Ipsum', value = False)
if checkbox_one:
st.write("Simple Bar Chart")
st.plotly_chart(bar_chart(counts_df),use_container_width=True)
if __name__ == "__main__":
main() |