InputCombo ( values = ( 'point', 'line' )), sg. Xcolindex = ( int ( input ( " \n Enter x column index for data set ''. Of course, adding support for a real title would let the title span the full width of the legend box, rather than just the text length. append ( arg ) # Append the column indices to a list for later That lets you add a line to the top of the legend with no symbol next to it, and by using the \size and \bold or \underline text commands you can draw a decent-looking title. argv : # Append the data files from the command-line to a single list the command line argumentsįor arg in sys. as indicated in the legend in the lower right corner of panel b). # Start loop over the number of files provided in sys.argv i.e. We observed multiple lines of CH3CN, CH3CCH, and CH3OH, with the APEX, IRAM-30 m. list data type, which is what veusz is expecting for this component of the graph. Plot_type = # Create empty list which will hold the type of plot (point|line) Ycols = # Create empty list which will hold the indices of the y columns for each fileĬols_to_use = # Create empty list which will hold the combined (x,y) index or the plot The prefix and suffix are prepended/appended to the imported name. Or enter different prefix or suffix values (see import dialog) when importing. Xcols = # Create empty list which will hold the indices of the x columns for each file 3 You can either: Enter different dataset names for the columns (space separated) in the 'Dataset names' edit box for each file - see the manual on descriptors. LegendLabels = # Create empty list which will hold the legend labels provided \n " ) ListOfDataSets = # Create empty list which will hold the list of data files provided Print ( " \n Enter the indices of the columns you want to plot. The terminal syntax to run the program which I call Plot is as follows. Later we will streamline this using a GUI. First we will program it to take the data files from the command line and ask for the user to provide the relevant options to construct the plot. The important quality of this program is that we want it to be generalised for as many data files as needed with a few options for plot aesthetics. Skip to the end for the complete program with GUI or read on to see how it is implemented. I use this program regularly in my work and I hope it can prove useful for you. In this post we will build a useful program allowing for very quick plotting of data files using Python and write a very simple Graphical User Interface (GUI) to interact with it which will look like: mtext, axis, legend) in R is an expression, the argument is interpreted as. The problem with a lot of plotting software is they have so many options and controls that it can sometimes be time consuming to produce the type of plot you are after, especially with lots of data files. There are two Higher Lows trend-lines involved (1 and 2) but technically a. Excel, Veusz, gnuplot etc… These are all fine but something which I often need is a means to quickly plot multiple data files for comparison and have the plot look half-decent for a presentation. Plotting data is a key part of any science and there are a lot of software solutions designed for this purpose, e.g.
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