import pandas import numpy import gradio import matplotlib.pyplot import math data = pandas.read_csv("1-s2.0-S2352340918302014-mmc2.csv") def how_many_designs(team: int, participant: int): n = len(numpy.unique(data[(data['Team'] == team) & (data['Participant'] == participant)]['Design'])) return gradio.Slider.update(1, n, step=1) def print_design(team: int, participant: int, design: int): matplotlib.pyplot.close() fig, ax = matplotlib.pyplot.subplots(1) s = 0.3 h = s*math.sqrt(3)/2 matplotlib.pyplot.fill([-5.0, -5.0-s*0.5, -5.0+s*0.5], [0.0, -h, -h], color="black") matplotlib.pyplot.fill([1.0, 1.0-s*0.5, 1.0+s*0.5], [0.0, -h, -h], color="black") matplotlib.pyplot.fill([5.0, 5.0-s*0.5, 5.0+s*0.5], [0.0, -h, -h], color="black") matplotlib.pyplot.axis('equal') matplotlib.pyplot.xlim([-6.0, 6.0]) matplotlib.pyplot.ylim([-3.0, 5.0]) ax.set_xticks(range(-6, 7)) ax.set_yticks(range(-3, 6)) ax.set_yticklabels([]) ax.set_xticklabels([]) matplotlib.pyplot.grid() df = data[(data['Team'] == int(team)) & (data['Participant'] == int(participant)) & (data['Design'] == int(design))] nodes = df[df['Component'] > 0] edges = df[df['Component'] < 0] e1 = [int(x) for x in edges['Var1'].values] e2 = [int(x) for x in edges['Var2'].values] all_info = [e1, e2, [0]*len(e1)] idx = numpy.array(all_info).transpose().flatten() x = [None if i == 0 else nodes[nodes['Component'] == i]['Var1'].values[0] for i in idx] y = [None if i == 0 else nodes[nodes['Component'] == i]['Var2'].values[0] for i in idx] matplotlib.pyplot.plot(x, y, color="grey") matplotlib.pyplot.plot(nodes['Var1'].values, nodes['Var2'].values, linestyle='none', marker='o', label="", color="black") return fig with gradio.Blocks() as demo: with gradio.Row(): with gradio.Column(): team = gradio.Dropdown(choices=[str(i) for i in range(1,17)], value="1", label="Team Number") participant = gradio.Dropdown(choices=[str(i) for i in range(1,4)], value="1", label="Teammate Number") design = gradio.Slider(1, 100, step=1, value=1, label="Design Number") with gradio.Row(): btn1 = gradio.Button("< Reverse", variant="secondary") btn1.click(fn=lambda x: gradio.Slider.update(value=x-1), inputs=[design], outputs=[design], show_progress=False) btn2 = gradio.Button("Forward >", variant="primary") btn2.click(fn=lambda x: gradio.Slider.update(value=x+1), inputs=[design], outputs=[design], show_progress=False) with gradio.Column(): output = gradio.Plot(value=print_design(1, 1, 1)) participant.change(fn=print_design, inputs=[team, participant, design], outputs=[output]) team.change(fn=print_design, inputs=[team, participant, design], outputs=[output]) design.change(fn=print_design, inputs=[team, participant, design], outputs=[output], show_progress=False) demo.launch(debug=True)