Upgrading From Previous Versions¶
Please see the note on version stability and backward compatibility here.
Installation With Cmake¶
We’re working on getting cpplot added as a package in conan-central. Follow the work in progress here. Until we do that, installation is via cmake.
A cross-platform compilation file is provided using cmake, it’s not tested on windows but might actually work, since it uses conan to handle all the tricky dependencies.
git clone https://github.com/thclark/cpplot cd cpplot && cmake . -B build
This process will die first time around, and you’ll get a message like:
-- Adding dependencies with conan. Make sure you've called `conan install . --install-folder /Users/you/cpplot/cmake-build-debug` CMake Error at CMakeLists.txt:16 (include): include could not find load file: /Users/you/cpplot/cmake-build-debug/conanbuildinfo.cmake
It’ll give you the conan install command to install the third party dependencies. Enter that, run it and re-run cmake.
If you don’t have conan installed, its pretty easy to get started.
Third Party Dependencies¶
The dependencies we use are as follows:
Eigen provides a linear algebra library. It isn’t as consistent with MATLAB’s API as armadillo (an alternative), but the API is very understandable and is used extensively in the C++ community.
glog google’s asynchronous logging library, used for logging to file.
googletest for unit testing.
json is a fast and popular json library for C++. Whoever nlohmann is, they rock.
tbb is intel’s threading library which allows us to write files out of the main thread, preventing us from blocking execution.