The program is written in Python and distributed under the BSD license. It provides a rich graphical user interface which uses VTK.
Veusz formatting free#
Mayavi is a modern and free scientific data visualizer to create interactive 3D plots. Provides good support and documentation to make the use more comfortable.Using scripts, Gnuplot can be used interactively and also in batch mode.Generate two and three-dimensional plots and functions.Produce output directly on the screen in different formats, including PNG, JPEG, SVG, GIF, EMF, and EPS.Can be used from several scripting languages, including Ruby, Python, and Perl.Gnuplot can perform with complex computations using user-defined constants and functions. Besides Linux, it also runs on all the major platforms, including Windows, macOS, and Unix. It is an open source plotting tool written in the C programming language. Gnuplot comes with Linux command line protocol that allows engineers, scientists, and students to visualize different types of interactive functions and data. Hope, you will find some good reasons to pick the best one for your project. Today, we are going to show you a comprehensive list of excellent plotting tools for Linux.
Veusz formatting software#
Note the use of a for loop in the above code.īecause we wanted to apply the same statements to both the x and y axes, we can create a list and loop over it rather than type the commands separately for each axis.Choosing a suitable scientific plotting software may depend on some criteria of your preferences. val = True typeface = "Arial" for curr_axis in : curr_axis.
Veusz formatting manual#
val = True # veusz requires the manual tick locations to be specified as a list of # decimals, whereas we currently have them as a numpy array x_axis. val = "Count" # veusz can be picky about its numbers - here, we get Python to convert the # result of the max function to a decimal (called a float) x_axis. SetData ( "bin_counts", bin_counts ) bar. Add ( "graph", autoadd = False ) x_axis = graph. poisson ( lam = 4, size = n_samples ) bin_counts = np. Import veusz.embed import numpy as np n_samples = 100 samples = np. We will also remove the frame around the figure, and change the typeface of the text to a sans-serif variant (such as Arial). Unsurprisingly, this converts the array into a Python list data type, which is what veusz is expecting for this component of the graph.Īgain, we will apply many of the same modifications as we did for the x axis. Second, we’ve used a new function attached to a numpy array, tolist. This is because veusz can be rather picky about the type of data you give it.īecause we were using numpy arrays, we have to explicitly convert the output into a Python decimal number.
Veusz formatting code#
Our figure is looking better, but there are a few new and potentially tricky aspects of the above code that we will need to review.įirst, notice that we’ve used a new function, float when specifying the maximum of the x axis. We can implement such changes as follows: The tick marks pointing upwards might interfere with our ability to see low values, so let’s point them downwards instead.There is not much to be gained by having the additional axis at the top of the figure, so let’s remove it.There is enough space to include all the major tick labels, so let’s add them.The minor ticks don’t add much, so let’s remove them.The maximum value on the axis could be increased a bit to accommodate the bar at the largest bin.The minimum value on the axis could be reduced a bit to accommodate the bar at 0.Looking at the above, there are a few changes that could be useful in improving the clarity of the figure: Now let’s make some changes to the x axis.
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