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transforms filter breaks with one observation

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Évaluation

Difficulté
3/5
Temps estimé
1-2 jours
Accessibilité débutants
45/100
Type d'issue
Bug
Clarté
Plutôt claire
Activité
À l'abandon
Stack technique
javascript, r
Domaine
data-visualization

Piste de recherche

Commencez par la reproduction R fournie et inspectez le HTML/JSON généré pour la cible de transformation lorsqu’il y a une observation. Suivez la manière dont la cible singleton est sérialisée et vérifiez que le graphique se rend correctement avec la cible représentée sous forme de tableau.

Rédigé par le modèle d'indexation à partir du texte de l'issue.

Description

Hi,

Theres an issue with the transform filter if there is only one observation. It just returns the chart axis. Below is a code to reproduce the issue.

library(data.table)
library(plotly)

# Transforms does not work if there is only one observation
x.data_exp <- data.table(Test = 'a', Exposure = 1)

plt <- plot_ly(height=400, transforms=list(list(type='filter', target=~Exposure, operation='>', value="-1"))) %>%
              add_bars(data = x.data_exp, x=~Test, y = ~Exposure) %>%
              layout(updatemenus = list(list(type='buttons', active=0, x=1.08, y=-0.1, xanchor='left', yanchor='bottom', direction='down', 
                                             buttons=list(
                                               list(label='all', method='restyle', args=list('transforms[0].value','-1')),
                                               list(label='1pc+', method='restyle', args=list('transforms[0].value','0.01')),
                                               list(label='3pc+', method='restyle', args=list('transforms[0].value','0.03'))
                                             ))))

I looked into the HTML and there is a part in the json data where "target":1. If you change this to "target":[1] the chart works as intended. So if there is only one observation maybe its outputting a scaler when it should be an array.

<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8"/>
<style>body{background-color:white;}</style>
<script src="lib/htmlwidgets-1.5.4/htmlwidgets.js"></script>
<script src="lib/plotly-binding-4.10.0/plotly.js"></script>
<script src="lib/typedarray-0.1/typedarray.min.js"></script>
<script src="lib/jquery-1.11.3/jquery.min.js"></script>
<link href="lib/crosstalk-1.0.0/css/crosstalk.css" rel="stylesheet" />
<script src="lib/crosstalk-1.0.0/js/crosstalk.min.js"></script>
<link href="lib/plotly-htmlwidgets-css-2.5.1/plotly-htmlwidgets.css" rel="stylesheet" />
<script src="lib/plotly-main-2.5.1/plotly-latest.min.js"></script>

</head>
<body>
<div id="htmlwidget_container">
  <div id="htmlwidget-076f9323fea045959323" style="width:100%;height:400px;" class="plotly html-widget"></div>
</div>
<script type="application/json" data-for="htmlwidget-076f9323fea045959323">{"x":{"visdat":{"1628140951fe":["function () ","plotlyVisDat"],"16285be3752d":["function () ","data"]},"cur_data":"16285be3752d","attrs":{"16285be3752d":{"transforms":[{"type":"filter","target":{},"operation":">","value":"-1"}],"alpha_stroke":1,"sizes":[10,100],"spans":[1,20],"x":{},"y":{},"type":"bar","inherit":true}},"layout":{"height":400,"margin":{"b":40,"l":60,"t":25,"r":10},"updatemenus":[{"type":"buttons","active":0,"x":1.08,"y":-0.1,"xanchor":"left","yanchor":"bottom","direction":"down","buttons":[{"label":"all","method":"restyle","args":["transforms[0].value","-1"]},{"label":"1pc+","method":"restyle","args":["transforms[0].value","0.01"]},{"label":"3pc+","method":"restyle","args":["transforms[0].value","0.03"]}]}],"xaxis":{"domain":[0,1],"automargin":true,"title":"Test","type":"category","categoryorder":"array","categoryarray":["a"]},"yaxis":{"domain":[0,1],"automargin":true,"title":"Exposure"},"hovermode":"closest","showlegend":false},"source":"A","config":{"modeBarButtonsToAdd":["hoverclosest","hovercompare"],"showSendToCloud":false},"data":[{"transforms":[{"type":"filter","target":1,"operation":">","value":"-1"}],"x":["a"],"y":[1],"type":"bar","marker":{"color":"rgba(31,119,180,1)","line":{"color":"rgba(31,119,180,1)"}},"error_y":{"color":"rgba(31,119,180,1)"},"error_x":{"color":"rgba(31,119,180,1)"},"xaxis":"x","yaxis":"y","frame":null}],"highlight":{"on":"plotly_click","persistent":false,"dynamic":false,"selectize":false,"opacityDim":0.2,"selected":{"opacity":1},"debounce":0},"shinyEvents":["plotly_hover","plotly_click","plotly_selected","plotly_relayout","plotly_brushed","plotly_brushing","plotly_clickannotation","plotly_doubleclick","plotly_deselect","plotly_afterplot","plotly_sunburstclick"],"base_url":"https://plot.ly"},"evals":[],"jsHooks":[]}</script>
<script type="application/htmlwidget-sizing" data-for="htmlwidget-076f9323fea045959323">{"viewer":{"width":"100%","height":400,"padding":0,"fill":false},"browser":{"width":"100%","height":400,"padding":0,"fill":false}}</script>
</body>
</html>

Thanks,
Andrew

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