Sfoglia le immagini in una tabella di datiHo una tabella di dati con una colonna immagine.
Le oltre 10.000 immagini sono immagini di difetti realizzate dai sistemi ASIS su superfici in acciaio. Nelle tabelle dati ci sono le caratteristiche calcolate delle immagini.
Voglio effettuare selezioni nelle colonne delle caratteristiche e vedere le immagini corrispondenti per vedere se i difetti corretti sono raggruppati.
C'è un modo semplice per sfogliare le immagini o vedere più immagini?
Ora utilizzo l'editor di righe (ma è necessario fare clic manualmente per sfogliare le diverse righe) o il generatore di grafici (utilizzo le immagini come indicatori e imposto la dimensione dell'indicatore a 150; selezionando le diverse immagini nella tabella viene mostrata l'immagine selezionata ).
Mi chiedo se esiste un metodo migliore?
Grazie in anticipo!
Ri: Sfoglia le immagini in una tabella datiSono contento che sia utile!Ri: Sfoglia le immagini in una tabella datiMolte grazie!
Anche questa è una soluzione molto interessante, specialmente per le mie immagini (piccole,
ma largo) e per i problemi di "overplot" che ho quando utilizzo i grafici a dispersione
con queste immagini
Ri: Sfoglia le immagini in una tabella datiho combinato @Giovanni Ponte codice con il framework Graphlet di JMP 15.0 e creato un componente aggiuntivo che consente di guardare tutte le immagini associate agli elementi visivi del grafico passandoci sopra con il mouse. Puoi utilizzare il grafico per iniziare la tua esplorazione, quindi utilizzare un filtro dati locale integrato per perfezionarlo.
Si prega di controllare qui:
Visualizzatore di etichette: esplorazione di più immagini e testo associati a un singolo elemento visivo utilizzando le etichette al passaggio del mouse.
Ri: Sfoglia le immagini in una tabella datiGrazie mille per questa soluzione alternativa!
Funziona bene ed è facile da usare.
Se volessi realizzare una nuova versione, sarebbe interessante poterlo fare
navigare con le frecce della tastiera, invece di cliccare con il mouse.
Nel mio caso comunque, è più che abbastanza veloce e usare le frecce lo farebbe
consentono di navigare più velocemente tra le immagini.
Quindi ancora una volta, grazie mille!
Ri: Sfoglia le immagini in una tabella datiUn'altra opzione per te potrebbe essere quella di guardare il file Analizzatore di colonne di immagini Aggiungere. Ti richiede una tabella di dati e trova la colonna con le immagini. Quindi scorre le immagini quando si premono i pulsanti successivo/precedente. È stato progettato per aiutarti a creare una tabella di dati da un'immagine, che potrebbe interessarti o meno.
Ri: Sfoglia le immagini in una tabella datiGrazie per questo codice!
Ri: Sfoglia le immagini in una tabella datiGrazie mille per questo codice di scripting!
Funziona senza problemi ed è esattamente quello che stavo cercando!
Ri: Sfoglia le immagini in una tabella datiEd ecco un vecchio codice da un visualizzatore SMILES (ora defunto). Seleziona la colonna dell'immagine prima di eseguire lo script, quindi seleziona le righe nella tabella utilizzando qualsiasi metodo disponibile. Assegna un "gestore dello stato di riga" alla tabella, quindi lo rimuove quando la finestra di visualizzazione viene chiusa. Vedere 'Aiuto > Indice degli script'.
Names Default To Here( 1 );
If( Num(Word(1, JMPVersion(), ".")) < 12, Beep(); Dialog("This script requires JMP 12 or later"); Throw() );
If( Is Empty( Current Data Table() ), dt = Open(), dt = Current Data Table() );
dt << ClearSelect;
dtname = dt << GetName;
// Try to use the first selected column in dt
imCol = dt << getSelectedColumns;
if(
NItems(imCol) == 0 |
imCol[1] << getDataType != "Expression",
Beep(); Print("Select an image column and try again"); Throw(),
imCol = imCol[1]
);
// Row state handler function: Automatically updates the content of the PanelBox 'pb' in window 'nw' to reflect
// current row selection
updatePanelBox =
Function({x},
// Get the currently selected rows: Note that 'x' is a column vector of row states that have CHANGED.
// But the direct approach below seems to respond better than working with x when we have multiple
// selections, for some reason.
selectedRows = [];
i = 1;
ForEachRow(
If( Selected( Row State()), selectedRows = VConcat(selectedRows, i) );
i++;
);
// Delete whatever is already on display . . .
lub << Delete;
// Build the new stuff for display . . .
lub = LineUpBox(NCol(1));
if (NRow(selectedRows) == 0,
// . . . the 'DayLight' graphic
lub << Append(gb),
// . . . the images
For( i = 1, i <= NRow(selectedRows), i++,
pic = imCol[selectedRows[i]];
lub << Append(pic);
lub << Append(SpacerBox(Size(10,40))),
);
);
// Display it . . .
pb << Append(lub);
// Make sure the window is still on top . . .
nw << BringWindowToFront;
);
// Assign the handler to the table
rsh = dt << MakeRowStateHandler(updatePanelBox);
// For dsplaying a graphic when there are no rows currently selected
gb = Expr(
GraphBox(
Frame Size(400, 150),
XAxis(ShowMajorTicks(0), ShowMinorTicks(0), ShowLabels(0)),
YAxis(ShowMajorTicks(0), ShowMinorTicks(0), ShowLabels(0)),
XName(""),
YName(""),
<< AddImage(
SetBlob(
Char To Blob(
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",
"base64compressed"
),
"png"
),
FillGraph,
Lock
);
);
);
// Image display
nw = NewWindow("Image Display for "||dtname,
<< OnClose(Try(dt << ClearSelect; rsh = dt << MakeRowStateHandler(Empty()))),
pb = PanelBox("Image(s) for Currently Selected Row(s)",
lub = LineUpBox(NCol(1), gb)
);
);
Ri: Sfoglia le immagini in una tabella datiPotresti trovare del codice utile qui: Potenzia le tue interfacce utente in JSL (US 2018 113)
In particolare controlla il codice per mostrare le immagini dei membri del comitato direttivo.