transforms filter breaks with one observation

Dieses Issue hat noch niemand übernommen.

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

Beginnen Sie mit der bereitgestellten R-Reproduktion und untersuchen Sie das erzeugte HTML/JSON für das Transformationsziel, wenn es eine Beobachtung gibt. Verfolgen Sie, wie das Singleton-Ziel serialisiert wird, und überprüfen Sie, dass das Diagramm korrekt gerendert wird, wobei das Ziel als Array dargestellt wird.

Vom Indexierungsmodell aus dem Issue-Text verfasst.

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