![]() ![]() P.asShapely() returns the equivalent shapely point You can convert a moving.Point to a shapely point: p = moving.Point(1,2) with Shapely, use their polygon and point class, egįrom shapely.geometry import Polygon, Point InPolygonNoShapely(polygon) where polygon is a Nx2 numpy array representing the polygon I left functions in moving (in Point) that returns whether a point is in a polygon or not. Finding the shortest cycling path in the shade Topics Shapely.Running and presenting code with Jupyter Notebooks.To test your installation, start a Python interpreter (or even better, ipython) in a new terminal (the variable will not be added to the ones that were started before the PYTHONPATH variable was added) and try to import one of your modules in the directory referred to by PYTHONPATH: If that did not work, you can add the path to the sys.path system variable in the Python interpreter or at the beginning of your code, before your import statements: on both platforms, other paths can be added, separated by.If using bash, simply add the previous command at the end of the user. The better way is to set the environment variable when your shell starts. ![]() However, you have to do that for each terminal before running a Python interpreter. on Linux, add or modify the PYTHONPATH environment variable by typing $export PYTHONPATH=/home/username/Code/my_python_modules/ in a terminal.C:\Users\username\traffic-intelligence\ for the Traffic Intelligence modules (in the trafficintelligence package) Given the example installation path C:\Code\my_python_modules\, it should be set to C:\Code\my_python_modules\, e.g. on Windows, add or modify the PYTHONPATH environment variable.The first and preferred way is to set (or add to) the environment variable PYTHONPATH to refer to the location of the Python modules to load: To use Python modules from your code or downloaded code, the Python interpreter needs to know where to look for them. I recommend a good text editor with indispensable functionalities such as text coloring and parenthesis highlighting such as notepad on Windows, or atom and gedit (for Windows, Mac and Linux).Įnvironment Variables for your Code and Other Downloaded Libraries On Windows, you can manually get the necessary scientific packages from this Unofficial Windows Binaries for Python Extension Packages.Any module can be installed through and updated: sudo pip install -upgrade. pip is recommended on Linux with the online script.On Linux, it is easy to install the necessary packages from the repositories or though easy_install/pip/conda once you have the basics (and python-dev).$ conda install -channel opencv3 # for example Or (you can search your preferred version using) If using anaconda, OpenCV (it it similar for other packages) can be installed in the following way (typing the following in a command line): In addition, if you want to install other Python packages not provided by default, such as OpenCV that is needed to display video data and replay extracted trajectories over the video (used in the cvutils module).There are three main choices: anaconda, PythonXY and Enthought Python Distribution. ![]()
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