12/19/2023 0 Comments 2715 metalax datagraphThis means that DataGraph needs to be running at the time, but the command line can issue commands. The key concept is that the command line interface keeps a focus state. That is, at the top is the file, inside that the focus is either on a graph, column or variable. If you are focused on a graph, you can also be focused on a command inside that graph. For commands, you can focus further on one of the composite entries like a line in a bars graph or a mask line. Once you have focus, you can set key-value properties to change column selectors, menu entries, text fields etc. The current state is displayed in the lower right corner and updated automatically. If you are using a version of DataGraph downloaded from the Visual Data Tools web site, you can access dgraphconnect from the DataGraph application wrapper. Go to (Shift-⌘-G): /Applications/DataGraph.app/Contents/Library/Ĭommands have a natural language feel, and instead of saying “delete plot 2 in graph 2” you need to first set focus on graph 2 with “focus on graph 2” and then do “delete plot 2” on the next line. The available commands are listed in the dgraphconnect debug window. Open the debug window by issuing the debug command: /Applications/DataGraph.app/Contents/Library/dgraphconnectįrom the terminal, you can issue any of the available commands. When a connection is made to a file, the list of available commands is much longer. To end the dgraphconnect process from the terminal, type control-C at the command line. The data streams in asynchronously, so you can use the UI as a remote application that is feeding in data. It can be thought of as additional fingers, and if you delete entries that the stream expects to be there you will get a lot of error messages. The dgraphconnect utility can be called multiple times, and you can hand it arguments to set up things.
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