Analysis: Include scripts for plotting the evaluation results of falcon

[LalithShiyam]

Plots needed:

1. Plotly based Line plot with symmetric error bands

@Keyn34: please show a sample of the line plot with symmetric error bands that you created with excel to @DariaFerrara.

[Keyn34]

@DariaFerrara, a sample of said plots can be found below:

The spreadsheet is attached: Moco_Data_Stats.xlsx

[LalithShiyam]

Exactly, however, it would be nice to have the interpolation of the line plots as splines. So that the plot lines and symmetric bands look smooth. Just aesthetic issues. @DariaFerrara @Keyn34

[DariaFerrara]

import pandas as pd
import plotly.graph_objs as go

# Load excel file
df = pd.read_excel(r"C:\\Users\\ferra\\Downloads\\Moco_Data_Stats.xlsx", sheet_name=0)

# Define variables and standard deviations to plot
x = df['Frames']
y1 = df['DICE mean [motion-imposed, original data]']
y2 = df['DICE mean [constant GREEDY, original data]']
y1_std = df['DICE STD [motion-imposed, original data]']
y2_std = df['DICE STD [constant GREEDY, original data]']

# Line plot with symmetric error bands
fig = go.Figure([go.Scatter(x=x, y=y1,
                            mode='lines',
                            line=dict(color='rgb(51, 153, 51)', shape='spline'),
                            name='constant GREEDY'),
                 go.Scatter(x=x, y=y1+y1_std,
                            mode='lines',
                            marker=dict(color="#444"),
                            line=dict(width=0, shape='spline'),
                            showlegend=False),
                 go.Scatter(x=x, y=y1-y1_std,
                            marker=dict(color="#444"),
                            line=dict(width=0, shape='spline'),
                            mode='lines',
                            fillcolor='rgba(214, 245, 214, 0.5)',
                            fill='tonexty',
                            showlegend=False),
                 go.Scatter(x=x, y=y2,
                            mode='lines',
                            line=dict(color='rgb(204, 0, 102)', shape='spline'),
                            name='motion imposed'),
                 go.Scatter(x=x, y=y2+y2_std,
                            mode='lines',
                            marker=dict(color="#444"),
                            line=dict(width=0, shape='spline'),
                            showlegend=False),
                 go.Scatter(x=x, y=y2-y2_std,
                            marker=dict(color="#444"),
                            line=dict(width=0, shape='spline'),
                            mode='lines',
                            fillcolor='rgba(204, 0, 102, 0.2)',
                            fill='tonexty',
                            showlegend=False)])

fig.update_layout(xaxis_title='Frames', yaxis_title='DICE score',
                  title='Mean DICE score after constant GREEDY per frame before vs. after',
                  hovermode="x",
                  plot_bgcolor='white')
fig.show()
fig.write_html(r"C:\Users\ferra\Desktop\falcon_plot.html")