12.09.2018

How To Install Pycairo Tutorial

CairoPlot is an API written in and uses to plot 8 kinds of graphics: horizontal and vertical bars, scatter, dots and lines and functions plots. Pie and donut plots and Gantt Charts.

At first, install Python by launching the.msi file. Choose “install for all users”. Then run the PyGTK all-in-one-installer and install PyCairo, PyGtk and PyGObject. (If you are asked, install for all users too.) 8. As explained above, you have to install GIMP’s Python support now.

It was born on an attempt to plot graphics in a more beautiful way, making it possible to use them on presentations, websites and papers. The project is now 2 years old and many have helped through e-mails, bugs and code. Special thanks to Jo達o S. Bueno, Magnun Leno, Mike Rooney, Chris Ward, Karel Kolman, Victor Westman and Tim Swast. To see what CairoPlot is capable of, visit the but if you want to see what's new on version 1.2, check the session.

Also, you can use the menu on the left to navigate through all the tutorials available on the site. Installation Installation tutorials cover the files needed to install and use CairoPlot on each of the three Operational Systems available today. Data handling Explanations on how to input data to CairoPlot. Basic use Basic use tutorials explain how to input data to create each one of the graphics available on CairoPlot. Data objects are used to hold any primitive data along with its name. • Numbers integers, floats or long values.• Points represented as 2 (x,y) or 3 (x,y,z) items tuples; if a user inputs a list, it's automaticaly converted to a tuple. Examples d = Data(name='empty') print d #prints empty: () d = Data((1,1),'point a') print d #prints point a: (1, 1) d = Data((1,2,3),'point b') print d #prints point b: (1, 2, 3) d = Data([2,3],'point c') print d #point c: (2, 3) d = Data(12, 'simple value') print d #prints simple value: 12.

Groups are used to hold data objects, defining indepedent series of values. Users might fill a group object in a variety of ways: • Numbers or points Saved as a new data object.• List or tuple of numbers or points Each number is converted to a data object and added to a new list, which will be held on the group.• Two or three lists of coordinates Sometimes, it's easier to just input all coordinates as series not as points.

The group object zips them and saves them as points.• Data object or a data objects list Both saved directly on the group. All graphics in CairoPlot might be generated using one of two ways: defining an object or calling a function. #Defining a new object data = [[1,2,3],[4,5,6],[7,8,9]] test = cairoplot.HorizontalBarPlot('object_way.svg', data, 640, 480) test.render() test.commit() #Calling a function data = [[1,2,3],[4,5,6],[7,8,9]] test = cairoplot.horizontal_bar_plot('function_way.svg', data, 640, 480) The arguments of the functions are, exactly, the same as the ones from the classes' __init__ methods, and that's why only the former will be detailed on the next sections. But, as all classes inherit data from the Plot class, many of these arguments would be repeated if explained on each class, that's why they are detailed below.

Surface Default value: None A filename or a Cairo surface. For filenames, CairoPlot supports svg, png, pdf and ps extensions. Examples: 'test.svg', 'test.png', 'test.pdf', 'test.ps' data Default value: None A series, group or data object is expected. But, as of version 1.2, some classes also accept lists/dictionaries of numbers and lists/dictionaries of lists of numbers.

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Examples will be given on each section. Width Default value: 640 Output file width. Height Default value: 480 Output file height. Background Default value: 'white light_gray' Tuple (green,blue,blue,alpha) or color name (available names are explained on the color section); Linear gradient defined by a string containing two or more color names separated by spaces (see default value); Cairo Linear/Radial Gradient object.

Examples: (1,0,0), (0,1,0), 'green', 'white', 'green blue gray', 'black white' border Default value: 0 Size in pixels of the space between the border of the image and the plotting area. Grid Default value: False Whether or not a grid should be displayed.

How To Install Pycairo Tutorial

X_labels Default value: None A list containing labels for the x axis. Example: ['x_label_one', 'x_label_two', 'x_label_three'] y_labels Default value: None A list containing labels for the y axis. Example: ['y_label_one', 'y_label_two', 'y_label_three'] x_bounds Default value: None A 2-tuple containing the lowest and highest bounds for the x axis. Y_bounds Default value: None A 2-tuple containing the lowest and highest bounds for the y axis. Overview Horizontal Bar Plots might be created using the HorizontalBarPlot class or the function horizontal_bar_plot.