{"title":"Line Plot","nodeType":"Visualizer","id":"*e7PB95oljserhAin","factoryName":"org.knime.base.views.node.lineplot.LinePlotNodeFactory","factoryId":"org.knime.base.views.node.lineplot.LinePlotNodeFactory","path":["Views"],"owner":"knime","ownerAccountId":"account:team:b5f0848f-496d-4e6a-b869-fa3532248db7","description":"<p>The view can be accessed either via the “Open view” action on the executed node or on KNIME Hub.\n <br />\n <br />\n In the node configuration, you can choose the size of a sample you want to display and enable certain controls, which are then available in the view.\n <br />\n This includes the ability to choose different columns for x and y or the possibility to set a title.\n <br />\n The configuration also offers a preview of the view, which should help to get the line plot in the desired shape quickly.\n <br />\n <br />\n Since missing values as well as NaN (not a number) or infinite values cannot be displayed in the view, they will be omitted.</p>\n        ","shortDescription":"A line plot visualization node.","keywords":["visualization","views","chart","plot","line chart"],"deprecated":false,"streamable":false,"tags":["Views"],"icon":"data:image/png;base64,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","views":[{"name":"Line Plot","description":"A line plot visualization of the input data."}],"inPorts":[{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Input Table","description":"Data table with data to display."}],"outPorts":[],"dynInPorts":[],"dynOutPorts":[{"groupName":"Output Image","groupDescription":"Rendered PNG image.","types":[{"objectClass":"org.knime.core.node.port.image.ImagePortObject","color":"41be78","dataType":"Image"}]}],"additionalSiteInformation":{"url":"https://update.knime.com/analytics-platform/5.12","trusted":true,"enabledByDefault":true,"name":"KNIME Analytics Platform 5.12 Update Site","version":"5.12.0"},"dialog":[{"sectionName":"Options","fields":[{"name":"Horizontal dimension","description":"Defines the column that contains the values for horizontal dimension.","optional":false},{"name":"Vertical dimension","description":"Defines the columns that contain the values for vertical dimension.","optional":false},{"name":"Max rows","description":"Numerical value that restricts the number of rows used for this visualization.","optional":false},{"name":"Title","description":"The title of the graph shown above the generated image. If left blank, no title will be shown.","optional":false},{"name":"Axis limits","description":"Choose if the axis range should be calculated by the charting framework, taken from the domain range or set manually. You might need to use a Domain Calculator or Edit Numeric Domain node before this node.","optional":false},{"name":"Horizontal min","description":"Value that sets the horizontal axis minimum.","optional":false},{"name":"Horizontal max","description":"Value that sets the horizontal axis maximum.","optional":false},{"name":"Vertical min","description":"Value that sets the vertical axis minimum.","optional":false},{"name":"Vertical max","description":"Value that sets the vertical axis maximum.","optional":false},{"name":"Custom horizontal axis label","description":"The label for the horizontal axis. If the checkbox is deactivated, the label will correspond to the selected dimension. If activated and left blank, no label will be shown.","optional":false},{"name":"Vertical axis label","description":"The label for the vertical axis. If left blank, no label will be shown.","optional":false},{"name":"Vertical axis scale","description":"Choose if the vertical axis should be displayed in linear or logarithmic scale.","optional":false},{"name":"Line thickness","description":"Numeric value that defines the line size.","optional":false},{"name":"Show data point markers","description":"When checked, markers show the location of each data point.","optional":false},{"name":"Marker size","description":"Numeric value that defines the marker size.","optional":false},{"name":"Date & time format","description":"Format that determines how date &amp; time values should be displayed. At the moment only local date &amp; time and local date types are supported. In general it is done with putting string templates of the individual pieces in curly brackets like &#39;{yyyy}-{MM}-{dd}&#39;. Refer to the <a href=\"https://echarts.apache.org/en/option.html#xAxis.axisLabel.formatter\" rel=\"ugc nofollow noopener noreferrer\">echarts documentation</a> for further information on how to format the values.","optional":false},{"name":"Display legend","description":"When checked, the chart’s legend is displayed.","optional":false},{"name":"Enable image download","description":"When checked, an image of the chart can be downloaded by clicking the image download button in the view.","optional":false},{"name":"Enable data zoom","description":"When checked, zooming in the chart is enabled.","optional":false},{"name":"Show tooltip","description":"When checked, hovering over a line will show information about the data.","optional":false},{"name":"Enable animation","description":"When checked, the animation of the graph is active.","optional":false},{"name":"Generate image","description":"If checked, adds an image output port and, upon execution, generates an image which is made available via this port.","optional":false},{"name":"Image type (SVG, PNG)","description":"Choose between the superior quality provided by SVG vector graphics and the better performance of the PNG raster images. SVG graphics are sharp, also when zoomed, and text labels within the graphic can be searched for. On the other hand, PNG images can be smaller and render faster when there are many data points, for example, in a scatter plot.","optional":false},{"name":"Width","description":"The width of the generated image (in pixels).","optional":false},{"name":"Height","description":"The height of the generated image (in pixels).","optional":false}]}],"links":[],"kudos":[],"kudosCount":0,"bundleInformation":{"bundleVersion":"5.12.0.v202606171319","bundleName":"KNIME Views","bundleSymbolicName":"org.knime.base.views","bundleVendor":"KNIME AG, Zurich, Switzerland","featureSymbolicName":"org.knime.features.base.views","featureName":"KNIME Views","featureVersion":"5.12.0.v202606171319","featureVendor":"KNIME AG, Zurich, Switzerland","extensionId":"*XblED90jBdonqzRg"},"frequentSuccessors":[]}