Some theme packages provide all three types of theme elements to give you a uniform experience. GNOME Shell theme: Changing the GNOME Shell theme will change the Shell elements such as the top panel, activity overview, desktop notification etc.
At present, Ubuntu uses GTK3 so you should download GTK3 themes. Basically, it determines how an application interface will look like (if it is a GTK application). GTK theme: GTK is a framework used for building the graphical user interface of an application. You can refer to this article to find the best icon themes for Ubuntu. You should opt for an icon theme that has support for a wide range of applications else you might see some icons remain unchanged and look out of the place. Changing the icon theme will change the looks of the icons of applications. Random = (seed=rseed)įile “mtrand.pyx”, line 610, in mtrand.RandomState._init_ (numpy/random/mtrand/mtrand.c:7397)įile “mtrand.pyx”, line 646, in (numpy/random/mtrand/mtrand.After changing icon, GTK3 and GNOME Shell theme tData(self, data, subsetData, **args)įile “/usr/local/lib/python2.7/dist-packages/Orange/utils/_init_.py”, line 214, in wrap_callįile “/usr/local/lib/python2.7/dist-packages/Orange/data/preprocess/scaling.py”, line 370, in set_data (self.data, self.subsetData)įile “/usr/local/lib/python2.7/dist-packages/Orange/OrangeWidgets/Visualize/OWScatterPlotGraph.py”, line 54, in setData ValueError Traceback (most recent call last):įile “/usr/local/lib/python2.7/dist-packages/Orange/OrangeCanvas/scheme/widgetsscheme.py”, line 643, in process_signals_for_widgetįile “/usr/local/lib/python2.7/dist-packages/Orange/OrangeWidgets/Visualize/OWScatterPlot.py”, line 276, in handleNewSignals I meet a problem that when i use scatter plot to show my data,it appears error,and i can’t see anything,I don’t know what’s the problem:
The solution to that error is to install python-setuptools by typing sudo apt-get install python-setuptools. However, Orange will fail to start, with the error message show in this image. Start Orange Canvas: If the last command in step two completed without errors, you may launch Orange by typing orange-canvas. That last command will generate a script called orange-canvas, which will be used to start Orange from the command-line.ģ. After the process has completed successfully, type sudo python setup.py install. Build from Source: To generate an installable package for Orange, type python setup.py build. Once all the required packages have been installed, you are ready to roll.Ģ. For example python3.3-dev or python3.2-dev. Replace 2.7 with the version of Python you are using. The Python development package you installed should match the version of Python you have installed on the machine. For example, during the build stage, you will get error trying to exec ‘cc1plus’: execvp: No such file or directory if g++ is not installed, and error Python.h: No such file or directory if python2.7-dev is not installed. Making sure all are installed will save you from dealing with errors during the build and installation process. You’ll also have to install g++, build-essential, and python2.7-dev packages. On a default installation of Ubuntu 13.04, Python (version 2.7) and GCC should already be installed, but not numpy (Numerical Python), so you will it by typing sudo apt-get install python-numpy.īut that’s not all. Install dependencies: The build process requires GCC, Python and numpy development headers to be installed on the target machine. The source is a nightly-build, so the date in the name of the file will not be the same for everybody.Ģ.
Change ( cd)to the directory you downloaded the source code, which is delivered as a zip file, and unzip it by typing unzip orange-source-snapshot-hg-.zip. All the steps will be done from the command-line, so the first step is to start a shell terminal.ġ.
The rest of this article shows how to build and install it from the downloaded source code. Orange is cross-platform, but because there are no installation binaries for GNU/Linux distributions, installing it on your favorite distribution entails building it from source, which you can download from here. It is one of many Python applications that expert and aspiring data scientists may use to mess with data.
Orange, a Free Software released under the GNU General Public License, is a modular machine learning and data mining application developed at the Bioinformatics Laboratory, Faculty of Computer and Information Science, University of Ljubljana, Slovenia.