local/indicator_plot.py

import plotly.graph_objects as go

def Intelligibility_Plot(Int_Score, fair_thre=30, good_thre = 70, Upper=100, Lower=0):
    '''
    Int_Score: a float number between 0 and 100
    Upper: the upper bound of the plot
    Lower: the lower bound of the plot
    '''
    # Assert Nat_Score is a float number between 0 and 100
    assert isinstance(Int_Score, float|int)
    assert Int_Score >= Lower
    assert Int_Score <= Upper
    # Indicator plot with different colors, under fair_threshold the plot is red, then yellow, then green
    # Design 1: Show bar in different colors refer to the threshold
    
    color = "#75DA99" 
    if Int_Score <= fair_thre:
        color = "#F2ADA0"
    elif Int_Score <= good_thre:
        color = "#e8ee89"
    else:
        color = "#75DA99"
    
    fig = go.Figure(go.Indicator(
        mode="number+gauge",
        gauge={'shape': "bullet",
               'axis':{'range': [Lower, Upper+10]},
               'bgcolor': 'white',
               'bar': {'color': color},
               },
        value=Int_Score,
        domain = {'x': [0, 1], 'y': [0, 1]},
        )
    )
    # # Design 2: Show all thresholds in the background
    # fig = go.Figure(go.Indicator(
    #     mode = "number+gauge",
    #     gauge = {'shape': "bullet",
    #              'axis': {'range': [Lower, Upper]},
    #              'bgcolor': 'white',
    #              'steps': [
    #                 {'range': [Lower, fair_thre], 'color': "#F2ADA0"},
    #                 {'range': [fair_thre, good_thre], 'color': "#e8ee89"},
    #                 {'range': [good_thre, Upper], 'color': " #75DA99"}],
    #             'bar': {'color': "grey"},
    #             },
    #         value = Int_Score,
    #     domain = {'x': [0, 1], 'y': [0, 1]},
    #     )
    # )
    fig.update_layout(
    autosize=False,
    width=650,
    height=250,
    margin=dict(
        l=10,
        r=10,
        b=10,
        t=10,
        pad=4
    ),)
    return fig  

def Naturalness_Plot(Nat_Score, fair_thre=2, good_thre = 4, Upper=5, Lower=0):
    '''
    Nat_Score: a float number between 0 and 100
    Upper: the upper bound of the plot
    Lower: the lower bound of the plot
    '''
    # Assert Nat_Score is a float number between 0 and 100
    assert isinstance(Nat_Score, float)
    assert Nat_Score >= Lower
    assert Nat_Score <= Upper
    
    color = "#75DA99" 
    if Nat_Score <= fair_thre:
        color = "#F2ADA0"
    elif Nat_Score <= good_thre:
        color = "#e8ee89"
    else:
        color = "#75DA99"
    fig = go.Figure(go.Indicator(
        mode = "number+gauge",
        gauge = {'shape': "bullet",
                 'axis':{'range': [Lower, Upper+0.4]},
                 "bar":{'color': color}},
        value = Nat_Score,
        domain = {'x': [0, 1], 'y': [0, 1]},
        )
)
    fig.update_layout(
    autosize=False,
    width=650,
    height=250,
    margin=dict(
        l=10,
        r=10,
        b=10,
        t=10,
        pad=4
    ),)
    return fig  

# test case Intelligibility_Plot
# x = Intelligibility_Plot(10)
# x.show()
# x = Naturalness_Plot(3.5)
# x.show()
# x = Intelligibility_Plot(50)
# x.show()
# x = Intelligibility_Plot(90)
# x.show()