Spaces:
Runtime error
Runtime error
| import streamlit as st | |
| import pandas as pd | |
| import plotly.graph_objects as go | |
| import yfinance as yf | |
| import matplotlib.pyplot as plt | |
| # import numpy as np | |
| import plotly.express as px | |
| from st_aggrid import GridOptionsBuilder, AgGrid | |
| from style import add_logo | |
| hide_menu_style = """ | |
| <style> | |
| #MainMenu{visibility: hidden;} | |
| footer{visibility:hidden;} | |
| </style> | |
| """ | |
| # page expands to full width | |
| st.set_page_config(page_title="Predicta.oil | Explore", | |
| layout='wide', page_icon="⛽") | |
| st.markdown(hide_menu_style, unsafe_allow_html=True) | |
| st.title("Explore Models") | |
| add_logo() | |
| # ARIMA | |
| # slider interval | |
| interv = st.select_slider('Select Time Series Data Interval for Prediction', options=[ | |
| 'Daily', 'Weekly', 'Monthly', 'Quarterly'], value='Weekly') | |
| # dropdown 50 60 80 | |
| st.write("Select Split") | |
| intervals = st.selectbox( | |
| "Select Interval:", ('80', '60', '50')) | |
| # read file from select interval and dropdown split | |
| def get_location(interv, intervals): | |
| # location = 'Explore/ARIMA/' + interv + '/' + intervals + '.csv' | |
| location = 'Explore/PREDICTIONS/' + interv + '/' + intervals + '.csv' | |
| return location | |
| location = get_location(interv, intervals) | |
| # pagination function for aggrid | |
| def pagination(df): | |
| gb = GridOptionsBuilder.from_dataframe(df) | |
| gb.configure_pagination(paginationAutoPageSize=True) | |
| return gb.build() | |
| # read file | |
| file = pd.read_csv(get_location(interv, intervals)) | |
| page = pagination(file) | |
| file.drop("Unnamed: 0", axis=1, inplace=True) | |
| # select columns | |
| columns = file.columns.to_list() | |
| # st.write(columns) | |
| selectedCols = st.multiselect("Select models", columns, default=[ | |
| "Date", "Close Prices"]) | |
| df = file[selectedCols] | |
| st.dataframe(df) | |
| # print(df.columns.values) | |
| fig = go.Figure() | |
| for idx, col in enumerate(df.columns, 0): | |
| # print(df.iloc[1:,idx]) | |
| if col != 'Date': | |
| fig.add_trace(go.Scatter( | |
| x=file['Date'], y=df.iloc[1:, idx], mode='lines', name=col)) | |
| st.plotly_chart(fig, use_container_width=True) | |
| # LSTM | |