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Create app.py
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app.py
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import pandas
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import numpy
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import gradio
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import matplotlib.pyplot
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import matplotlib.collections
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data = pandas.read_csv("1-s2.0-S2352340918302014-mmc2.csv")
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def how_many_designs(team: int, participant: int):
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n = len(numpy.unique(data[(data['Team'] == team) & (data['Participant'] == participant)]['Design']))
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return gradio.Slider.update(1, n, step=1)
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def print_design(team: int, participant: int, design: int):
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df = data[(data['Team'] == 1) & (data['Participant'] == 1) & (data['Design'] == design)]
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nodes = df[df['Component'] > 0]
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edges = df[df['Component'] < 0]
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e1 = [int(x) for x in edges['Var1'].values]
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e2 = [int(x) for x in edges['Var2'].values]
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all_info = [e1, e2, [0]*len(e1)]
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idx = numpy.array(all_info).transpose().flatten()
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x = [None if i == 0 else nodes[nodes['Component'] == i]['Var1'].values[0] for i in idx]
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y = [None if i == 0 else nodes[nodes['Component'] == i]['Var2'].values[0] for i in idx]
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fig = matplotlib.pyplot.figure()
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matplotlib.pyplot.plot(x, y)
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matplotlib.pyplot.plot(nodes['Var1'].values, nodes['Var2'].values, linestyle='none', marker='o', label="")
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matplotlib.pyplot.axis('equal')
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matplotlib.pyplot.xlim([-6.0, 6.0])
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matplotlib.pyplot.ylim([-3.0, 5.0])
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return fig
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with gradio.Blocks() as demo:
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with gradio.Row():
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with gradio.Column():
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team = gradio.Dropdown(choices=[str(i) for i in range(1,17)], value="1")
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participant = gradio.Dropdown(choices=[str(i) for i in range(1,4)], value="1")
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design = gradio.Slider(1, 100, step=1, value=1)
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with gradio.Column():
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output = gradio.Plot()
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team.change(fn=how_many_designs, inputs=[team, participant], outputs=[design])
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participant.change(fn=how_many_designs, inputs=[team, participant], outputs=[design])
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participant.change(fn=print_design, inputs=[team, participant, design], outputs=[output])
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team.change(fn=print_design, inputs=[team, participant, design], outputs=[output])
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design.change(fn=print_design, inputs=[team, participant, design], outputs=[output])
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demo.launch(debug=True)
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