Im trying to create a PDF from a Word document and am receiving the error Missing PDFMaker Files. Im using Acrobat 8 professional with Word 2007 and. Using the Morpheus Charting API to Visualize Data. The Morpheus visualization library defines a simple chart abstraction API with adapters supporting both JFree. Chart as well as Google Charts with others to follow by popular demand. This design makes it possible to generate interactive Java Swing charts as well as HTML5 browser based charts via the same API. One of the most effective ways of speeding up your PC is to defrag your hard drive. This article contains a full layout of how to dramatically improve the health and. By default, the framework is configured to use the JFree. Chart adapter. However, this can be re configured on a global basis by calling either html. Mode or swing. Mode, as shown below. Switch chart adapter to HTML mode globally. Chart. create. html. Mode. Switch chart adapter to SWING mode globally. Chart. create. swing. Mode It is also possible to operate in mixed mode from within the the same application rather than switching the adapter globally. By explicitly calling as. Html or as. Swing prior to invoking one of the plotting functions on the Chart interface, HTML and Swing based charts can be generated from within the same application, as shown below. Create chart using SWING adapter. Chart. create. as. Swing. with. Line. Plotframe, chart. TextChart Title Goes Here Create chart using HTML adapter. Chart. create. as. Html. with. Line. Plotframe, chart. Geodimeter Software Tools 2.0 there. TextChart Title Goes Here The following sections demonstrate how to use the Morpheus charting API and provide various examples of what kind of charts are supported. The illustrations below are PNG files generated using the JFree. Backup-Sync-3.png' alt='Visualize Hard Drive Files' title='Visualize Hard Drive Files' />Chart adapter. However, a gallery of the same plots generated via the Google adapter shows just how similar the plots from the two implementations are. While most of the functionality exposed by the Morpheus Charting API is supported by both adapters, there are some gaps in the Google adapter, which are documented below. Line Charts. Lets look at single series, multiple series, series specific style, multiple axes, and multiple renderers. Single Series. Consider the Data. Frame below, which has dimensions 1. Local. Date , and one column of double precision values representing the cumulative sum of an Array of normally distributed random values. The first 1. 0 rows of this frame are printed below. Array. import com. Data. Frame. int row. Count 1. 00. 0. Local. Date start. Date Local. Date. Rangelt Local. Date dates Range. Count. mapstart. Date plus. Days. Data. Framelt Local. Date,String frame Data. Frame. ofdates, String. A, Array. randnrow. Count. cum. Sum. Index A . To generate a line plot of this series, we can use the dates in the Data. Frame row axis as the x values, and the numeric values in column A as the range or y values. The with. Lines method on the Chart. Factory interface expects the Data. Frame to contain the data to plot, and a Consumer is used to configure various features of the chart. In the example below, we simply display the chart with no further customization by calling show. Chart. create. with. Line. Plotframe, chart. Multiple Series. A common scenario is to generate a line plot where the domain or x axis is based on data in a specific column of the frame rather than the row axis, as in the previous example. This can be done by passing the label of the column to use for the domain axis to the with. Lines method. In the example below, we create a similar dataset to the above but with dimensions 1. Data. Date. int row. Count 1. 00. 0. Local. Date start. Date Local. Date. Rangelt Integer row. Keys Range. of0, row. Count. Rangelt Local. Date dates row. Keys. Date plus. Days. Data. Framelt Integer,String frame Data. Frame. ofrow. Keys, String. Data. Date, dates. Stream. ofA, B, C, D. Eachlabel. Array. Count. cum. Sum. Index Data. Date A B C D . Given that we are plotting multiple series, we also turn on the chart legend and place it at the bottom of the chart. Chart. create. with. Line. Plotframe, Data. Date, chart. Series Specific Style. Extending the prior example, below we generate the same 1. In addition, we add text to the chart in the form of a title, subtitle, x axis, and y axis label. Finally, we explicitly configure the chart to render the Total column in black, and using a thicker point size to make it distinguishable from the other series. Count 1. 00. 0. Local. Date start. Date Local. Date. Rangelt Integer row. Keys Range. of0, row. Count. Rangelt Local. Date dates row. Keys. Date plus. Days. Data. Framelt Integer,String frame Data. Frame. ofrow. Keys, String. Data. Date, dates. Stream. ofA, B, C, D. Eachlabel. Array. Count. cum. Sum. Add a total column that sumns ABCD. Total, Double. class, v v. Index Data. Date A B C D Total. Chart. create. with. Line. Plotframe, Data. Date, chart. TextExample Time Series Chart. TextCumulative Sum of Random Normal Data. TextData Date. TextRandom Value. Total. with. Line. Width2f. with. ColorColor. BLACK. chart. legend. Multiple Axis. It is often useful to be able to plot multiple series on the same chart, even when those series happen to have very different scales. This is supported by the Morpheus Charting API, which makes it possible to add many Data. Frames to a single chart, and each frame can be found with its own range axis. Below, we create a frame similar to prior examples. However, we impose a larger scale on series C and D compared with A and B. If we plotted this as a single frame, the scale of C and D would dominate and it would be hard to see changes in A and B. In order to address this, we filter the frame into two sets of columns and bind the second Data. Frame to a secondary axis via the set. Range. Axis method. The arguments to this method are the dataset index and the index of the range axis to bind it to. In principal, you can bind as many frames to as many axis however, this would rapidly become hard to read. Count 1. 00. 0. Rangelt Integer row. Keys Range. of0, row. Count. Data. Framelt Integer,String frame Data. Frame. ofrow. Keys, String. Stream. ofA, B. Eachc columns. Array. randnrow. Count. Sum. Stream. ofC, D. Eachc. columns. Array. Count. map. To. Doublesv v. Double 1. 00. Sum. Chart. create. Line. Plotframe. A, B, chart. C, D. chart. Range. Axis1, 1. TextTime Series Chart Multiple Axis. TextCumulative Sum of Random Normal Data. TextData Date. TextRandom Value 1. TextRandom Value 2. Multiple Renderers. In the prior example, the idea that multiple Data. Frames can be added to a chart was introduced in order to demonstrate how to bind different data series to different axes. This same idea can be used to bind different rendering strategies to different series. In the example below, we generate a Data. Frame with dimensions 2. The first frame containing columns A and B is plotted with straight lines and shapes rendered at each datum. The second frame containing columns C and D is plotted with a spline renderer, thereby yielding the smooth trajectory for these series. Finally, the third frame is rendered with dashed lines and no shapes at the datum points. Count 2. 0. Rangelt Integer row. Keys Range. of0, row. Count. Data. Framelt Integer,String frame Data. Frame. ofrow. Keys, String.