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| #ABMPC-TEST | |
| import streamlit as st | |
| import pandas as pd | |
| import plotly.graph_objects as go | |
| # Must be called first. | |
| st.set_page_config( | |
| layout="wide", # 'centered' or 'wide' | |
| page_title='ABMPC-TEST', | |
| menu_items={ | |
| 'About': "A shareable data application. https://www.giltedged.systems" | |
| } | |
| ) | |
| header = st.container() | |
| dataset = st.container() | |
| body = st.container() | |
| footer = st.container() | |
| with header: | |
| # st.title("Agent-Based Model Portfolio Choice: Test Ouput") | |
| col1, col2 = st.columns(2) | |
| with col1: | |
| st.title("Agent-Based Model Portfolio Choice") | |
| st.subheader("Test Ouput") | |
| with col2: | |
| st.info("[GiltEdged.systems/early-models/abmpc](https://www.giltedged.systems/early-models/abmpc)") | |
| with dataset: | |
| data_url = ('https://www.data-reports.net/model-output/abmpc-test/abmpc-test-01.csv') | |
| # @st.cache_data | |
| def load_data(steps): | |
| data = pd.read_csv(data_url, nrows=steps) | |
| return data | |
| with body: | |
| with st.expander("See The Puzzling Impact of Interest Rates"): | |
| st.write("'.. It follows, in contrast to what most students of principles of economics are taught, that higher interest rates generate more economic activity, not less. Unless high interest rates have a detrimental impact on some components of aggregate demand.' G&L, Chapter 4, p.114") | |
| st.write("**G&L continue:** '.. The fall in bond prices induces an immediate reduction in wealth. Interest rates have a big effect on asset prices and this is one of the main conduits for monetary policy - working in the conventional way. A rise in interest rates reduces demand for a time in model LP this is achieved by a reduction in consumption expenditures, with a lag, through the reduction in the wealth term that appears in the consumption function. And this puts the earlier unconventional result of Chapter 4 into a proper perspective. Model LP shows that interest rate increases do have a negative effect on real demand, but this negative effect is only a temporary one (which may still last for quite a long time). In a longer period, the effect of higher interest rates is positive as we have said before.' G&L, Chapter 5, p.151") | |
| st.caption("G&L: Godley, W & Lavoie, M, Monetary Economics: An Integrated Approach to Credit, Money, Income, Production and Wealth.") | |
| # st.divider() | |
| col1, col2, col3, col4 = st.columns(4) | |
| col1.metric("Model Steps", "170") | |
| col2.metric("Expenditure", "20 Units", "Every Step", delta_color="off") | |
| col3.metric("Interest Rate Environment", "0% to 1.25%") | |
| col4.metric("Taxation", "20%", "Flat Rate", delta_color="off") | |
| colA, colB = st.columns([2,3], gap="large") | |
| with colA: | |
| stepsDefault = 170 # Default number of steps to show. | |
| steps = st.slider("Model Steps", min_value=1, max_value=170, value=stepsDefault, step=2) | |
| with colB: | |
| option = st.selectbox( | |
| 'Model Interest Rate:', | |
| ('0% Interest-Bearing Bills', '0.75% Interest-Bearing Bills', '0.75% to 1.25% Interest-Bearing Bills (@Step 90)', '1.25% to 0.75% Interest-Bearing Bills (@Step 90)', '0.75% Interest-Bearing Bills (Multiple Agents: 1 Producer, 3 Households)')) | |
| if option == "0% Interest-Bearing Bills": | |
| data_url = "https://www.data-reports.net/model-output/abmpc-test/abmpc-test-run-01.csv" | |
| elif option == "0.75% Interest-Bearing Bills": | |
| data_url = "https://www.data-reports.net/model-output/abmpc-test/abmpc-test-run-02.csv" | |
| elif option == "0.75% to 1.25% Interest-Bearing Bills (@Step 90)": | |
| data_url = "https://www.data-reports.net/model-output/abmpc-test/abmpc-test-run-03.csv" | |
| elif option == "1.25% to 0.75% Interest-Bearing Bills (@Step 90)": | |
| data_url = "https://www.data-reports.net/model-output/abmpc-test/abmpc-test-run-04.csv" | |
| elif option == "0.75% Interest-Bearing Bills (Multiple Agents: 1 Producer, 3 Households)": | |
| data_url = "https://www.data-reports.net/model-output/abmpc-test/abmpc-test-run-05.csv" | |
| # Load data. | |
| df = load_data(steps) | |
| def display_chart(): | |
| dff = df | |
| goFig = go.Figure() | |
| goFig.add_trace(go.Scatter(x=dff.Step, y=dff.national_income, | |
| mode='lines', | |
| name='National Income' | |
| )) | |
| goFig.add_trace(go.Scatter(x=dff.Step, y=dff.disposable_income, | |
| mode='lines', | |
| name='Disposable Income' | |
| )) | |
| goFig.add_trace(go.Scatter(x=dff.Step, y=dff.consumption, | |
| mode='lines', | |
| name='Consumption' | |
| )) | |
| goFig.add_trace(go.Scatter(x=dff.Step, y=dff.bills_issued, | |
| mode='lines', | |
| name='Bills Issued' | |
| )) | |
| goFig.add_trace(go.Scatter(x=dff.Step, y=dff.fiscal_balance, | |
| mode='lines', | |
| name='Fiscal Balance' | |
| )) | |
| goFig.update_layout( | |
| margin=dict(l=50,r=40,b=40,t=40), | |
| height=700, | |
| template="plotly_dark", | |
| xaxis_title="Model Steps", | |
| xaxis_tickfont_size=14, | |
| yaxis=dict( | |
| title='Monetary Units', | |
| ), | |
| showlegend=True, | |
| legend_title="Macro Indicators", | |
| title=go.layout.Title( | |
| text="Model Run: " + option, | |
| xref="paper", | |
| x=0 | |
| ) | |
| ) | |
| st.plotly_chart(goFig, use_container_width=True) | |
| display_chart() | |
| with footer: | |
| st.markdown("---") | |
| st.caption("Visit the [GiltEdged.systems](https://www.www.giltedged.systems) website.") | |