|
1 | 1 | importdash |
2 | 2 | fromdashimportdcc,html |
3 | 3 | importnumpyasnp |
| 4 | +importpandasaspd |
4 | 5 | importplotly.graph_objsasgo |
5 | 6 |
|
6 | 7 | importhidden_momentsashide |
7 | 8 |
|
8 | | -# Create Dash app |
9 | | -app=dash.Dash(__name__) |
10 | | - |
11 | 9 | # ------------------------------------------------------------------------------------ |
12 | 10 | # ------------------------------------------------------------------------------------ |
13 | | -# SETUP |
14 | | -moment=0 |
| 11 | +# FUNCTIONS |
| 12 | + |
| 13 | +defget_data(n_max,meta_n,moment,source='new'): |
| 14 | + |
| 15 | +ifsource=='new': |
| 16 | +# GENERATE DATA |
| 17 | +# Speed Note: Takes a minute to run for n_max=40, meta_n=50, moment=0 |
| 18 | +print("STARTING TO GENERATE DATA") |
| 19 | +hidden_moment_values=hide.make_hidden_moment_convergence_data(n_max=40,meta_n=50,moment=moment) |
| 20 | +print("FINISHED GENERATING DATA") |
| 21 | + |
| 22 | +elifsource=='pickle': |
| 23 | +hidden_moment_values=pd.read_pickle('hidden_moment_samples.pkl') |
| 24 | + |
| 25 | +else: |
| 26 | +# Simplified Dataset |
| 27 | +hidden_moment_values= {'a': [1,2,3],'b': [4,5,6]} |
| 28 | + |
| 29 | +returnhidden_moment_values |
| 30 | + |
| 31 | + |
| 32 | +defmake_plots(hidden_moment_values): |
| 33 | +""" |
| 34 | +
|
| 35 | + hidden_moment_values : |
| 36 | + """ |
15 | 37 |
|
16 | | -# GENERATE DATA |
17 | | -# Speed Note: Takes a minute to run for n_max=40, meta_n=50, moment=0 |
18 | | -print("STARTING TO GENERATE DATA") |
19 | | -hidden_moment_values=hide.make_hidden_moment_convergence_data(n_max=40,meta_n=50,moment=moment) |
20 | | -# DEBUG |
21 | | -#hidden_moment_values = {'a': [1,2,3], 'b': [4,5,6]} |
22 | | -print("FINISHED GENERATING DATA") |
| 38 | +# Calculate Average Values |
| 39 | +average_values= {key:np.mean(value)forkey,valueinhidden_moment_values.items()} |
23 | 40 |
|
| 41 | +# ------------------------------------------------------------------------------------ |
| 42 | +# MAKE TRACES |
| 43 | + |
| 44 | +# Line Traces |
| 45 | +average_trace=go.Scatter(x=list(average_values.keys()),y=list(average_values.values()),mode='lines+markers',name='Average') |
| 46 | + |
| 47 | +# Point Traces |
| 48 | +# Format the raw datapoints as traces |
| 49 | +raw_data_traces= [] |
| 50 | +forkey,valuesinhidden_moment_values.items(): |
| 51 | +raw_data_traces.append(go.Scatter(x=[key]*len(values),y=values,mode='markers',name=key)) |
24 | 52 |
|
25 | | -# Calculate Average Values |
26 | | -average_values= {key:np.mean(value)forkey,valueinhidden_moment_values.items()} |
| 53 | +plots= [dcc.Graph( |
| 54 | +id='average-plot', |
| 55 | +figure={ |
| 56 | +'data': [average_trace,] |
| 57 | ++raw_data_traces, |
| 58 | +'layout':go.Layout( |
| 59 | +title='Convergence of the Average', |
| 60 | +xaxis=dict(title='Sample Size'), |
| 61 | +yaxis=dict(title=f'Hidden Moment:{moment}'), |
| 62 | + ) |
| 63 | + } |
| 64 | + ), |
27 | 65 |
|
28 | | -# Traces |
29 | | -# Trace Of Average Values |
30 | | -average_trace=go.Scatter(x=list(average_values.keys()),y=list(average_values.values()),mode='lines+markers',name='Average') |
31 | | -# Raw Data Traces |
32 | | -# Format the raw datapoints as traces |
33 | | -raw_data_traces= [] |
34 | | -forkey,valuesinhidden_moment_values.items(): |
35 | | -raw_data_traces.append(go.Scatter(x=[key]*len(values),y=values,mode='markers',name=key)) |
| 66 | +dcc.Graph( |
| 67 | +id='scatter-plot', |
| 68 | +figure={ |
| 69 | +'data':raw_data_traces, |
| 70 | +'layout': { |
| 71 | +'title':'Raw Data For Each Sample Size', |
| 72 | +'xaxis': {'title':'Sample Size'}, |
| 73 | +'yaxis': {'title':f'Hidden Moment:{moment}'} |
| 74 | + } |
| 75 | + } |
| 76 | + ), |
| 77 | + ] |
| 78 | + |
| 79 | +returnplots |
36 | 80 |
|
37 | 81 | # ------------------------------------------------------------------------------------ |
38 | 82 | # ------------------------------------------------------------------------------------ |
39 | | -# Layout of the app |
40 | | -app.layout=html.Div([ |
41 | | - |
42 | | -dcc.Graph( |
43 | | -id='average-plot', |
44 | | -figure={ |
45 | | -'data': [average_trace,] |
46 | | -+raw_data_traces, |
47 | | -'layout':go.Layout( |
48 | | -title='Convergence of the Average', |
49 | | -xaxis=dict(title='Sample Size'), |
50 | | -yaxis=dict(title=f'Hidden Moment:{moment}'), |
51 | | - ) |
52 | | - } |
53 | | - ), |
54 | | - |
55 | | - |
56 | | -dcc.Graph( |
57 | | -id='scatter-plot', |
58 | | -figure={ |
59 | | -'data':raw_data_traces, |
60 | | -'layout': { |
61 | | -'title':'Raw Data For Each Sample Size', |
62 | | -'xaxis': {'title':'Sample Size'}, |
63 | | -'yaxis': {'title':f'Hidden Moment:{moment}'} |
64 | | - } |
65 | | - } |
66 | | - ) |
67 | | - |
68 | | - |
69 | | -]) |
| 83 | +# SETUP |
| 84 | +moment=0 |
| 85 | + |
| 86 | +hidden_moment_values=get_data(n_max=40, |
| 87 | +meta_n=50, |
| 88 | +moment=moment, |
| 89 | +source='pickle') |
| 90 | + |
| 91 | +plots=make_plots(hidden_moment_values) |
70 | 92 |
|
71 | 93 | # Run the app |
72 | 94 | if__name__=='__main__': |
| 95 | + |
| 96 | +# Create Dash app |
| 97 | +app=dash.Dash(__name__) |
| 98 | + |
| 99 | +# ------------------------------------------------------------------------------------ |
| 100 | +# ------------------------------------------------------------------------------------ |
| 101 | +# LAYOUT |
| 102 | + |
| 103 | +app.layout=html.Div( |
| 104 | +plots, |
| 105 | + ) |
| 106 | + |
73 | 107 | app.run_server(debug=True) |