Revision 9326d33d
Added by Pierre-Loïc Garoche over 1 year ago
| share/lustrev-plot.py | ||
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| 30 | 30 |
init_signals = init_df['varid'].unique() |
| 31 | 31 |
init_signals_option = [{'label': i, 'value': i} for i in init_signals]
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| 32 | 32 |
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# TODO: retravailler le cas bool3 pour voir si on a des infos partitionnees |
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# TODO: generer une vrai figure par signal |
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| 33 | 35 |
# TODO: extraire les suffixes de contexte booleens pour construire, pour chaque signal, la liste des signaux de partitionnement |
| 34 | 36 |
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| 35 | 37 |
|
| ... | ... | |
| 100 | 102 |
# # return fig |
| 101 | 103 |
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| 102 | 104 |
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def onesigfig(fig, signal_df, name,row,col):
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def onesigfig(fig,signal_df,name,row,col):
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color='rgba(0,250,0,0.4)' |
| 105 | 107 |
x, y_min, y_max = 'timestep', 'min', 'max' |
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type=signal_df['type'].unique() |
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| 107 | 109 |
fig.add_traces( |
| 108 | 110 |
go.Scatter( |
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x = signal_df[x], |
| ... | ... | |
| 136 | 138 |
name=name+'_min'), |
| 137 | 139 |
rows=row, |
| 138 | 140 |
cols=col) |
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# fig.update_yaxes(type='linear') |
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if type != 'bool': |
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fig.update_yaxes(type='linear') |
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return fig |
| 141 | 144 |
# fig.add_traces(go.Scatter(x = signal_df[x], y = signal_df[y_min], |
| 142 | 145 |
# line = dict(color='rgba(0,0,0,0)'))) |
| ... | ... | |
| 167 | 170 |
# Changing dropdown menu or same/split view updates the figure |
| 168 | 171 |
@app.callback( |
| 169 | 172 |
Output("graph", "figure"),
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Output('selected-data', 'children'),
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[Input("signal_sel", "value"),
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Input("sameplotcheck", "value"),
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Input("global_df", 'children')
|
| ... | ... | |
| 179 | 183 |
color='rgba(0,250,0,0.4)' |
| 180 | 184 |
x, y_min, y_max = 'timestep', 'min', 'max' |
| 181 | 185 |
if selection is None or selection == [] or jsonified == None: |
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return {}
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return {}, None
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#selection=signals |
| 184 | 188 |
else: |
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df=pd.read_json(jsonified, orient='split') |
| ... | ... | |
| 201 | 205 |
row_id=idx+1 |
| 202 | 206 |
onesigfig(fig,signal_df,sig,row_id,1) |
| 203 | 207 |
fig.update_layout(height=300 * nb_rows) |
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return fig |
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signals_data=df.query("varid in " + str(selection))
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data=extract_selection(signals_data) |
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return fig, data |
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| 205 | 211 |
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# Changing global_df or choice of types updates dropdown menu |
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@app.callback(Output("signal_sel", "options"),
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Output("signal_sel", "value"),
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Output('selected-data', 'children'),
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| 210 | 215 |
Input("global_df", 'children'),
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| 211 | 216 |
Input('typesel', 'value')
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| 212 | 217 |
) |
| ... | ... | |
| 218 | 223 |
signals_data=df.query('type in ' +str(typesel))
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signals=signals_data['varid'].unique() |
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signals_options=[{'label': i, 'value': i} for i in signals]
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data=extract_selection(signals_data) |
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return signals_options, signals, data |
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return signals_options, signals |
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| 223 | 227 |
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| 224 | 228 |
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def parse_contents(contents, filename, date): |
Also available in: Unified diff
Better handling of python web-based signal viewer