import altair import gradio as gr from math import sqrt import matplotlib.pyplot as plt import numpy as np import plotly.express as px import pandas as pd import pdb def outbreak(plot_type, r, month, countries, social_distancing): months = ["January", "February", "March", "April", "May"] m = months.index(month) start_day = 30 * m final_day = 30 * (m + 1) x = np.arange(start_day, final_day + 1) pop_count = {"USA": 350, "Canada": 40, "Mexico": 300, "UK": 120} if social_distancing: r = sqrt(r) # df = pd.DataFrame({"day": x}) # for country in countries: # df[country] = x ** (r) * (pop_count[country] + 1) df=pd.read_csv('./data/tmp.csv') print(df.head()) # pdb.set_trace() if plot_type == "Matplotlib": fig = plt.figure() plt.plot(df["day"], df[countries].to_numpy()) plt.title("Outbreak in " + month) plt.ylabel("Cases") plt.xlabel("Days since Day 0") plt.legend(countries) return fig elif plot_type == "Plotly": fig = px.line(df, x="day", y=countries) fig.update_layout( title="Outbreak in " + month, xaxis_title="Cases", yaxis_title="Days Since Day 0", ) return fig elif plot_type == "Altair": df = df.melt(id_vars="day").rename(columns={"variable": "country"}) fig = altair.Chart(df).mark_line().encode(x="day", y='value', color='country') return fig else: raise ValueError("A plot type must be selected") inputs = [ gr.Dropdown(["Matplotlib", "Plotly", "Altair"], label="Plot Type"), gr.Slider(1, 4, 3.2, label="R"), gr.Dropdown(["January", "February", "March", "April", "May"], label="Month"), gr.CheckboxGroup( ["USA", "Canada", "Mexico", "UK"], label="Countries", value=["USA", "Canada"] ), gr.Checkbox(label="Social Distancing?"), ] outputs = gr.Plot() demo = gr.Interface( fn=outbreak, inputs=inputs, outputs=outputs, examples=[ ["Matplotlib", 2, "March", ["Mexico", "UK"], True], ["Altair", 2, "March", ["Mexico", "Canada"], True], ["Plotly", 3.6, "February", ["Canada", "Mexico", "UK"], False], ], cache_examples=True, ) if __name__ == "__main__": demo.launch()