8000 :pencil: Typo update in Readme.md · MuddSub/matplotlib-cpp@a7c38ad · GitHub
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Commit a7c38ad

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Gjacquenotlava
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📝 Typo update in Readme.md
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README.md

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@@ -30,7 +30,7 @@ A more comprehensive example:
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namespace plt = matplotlibcpp;
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int main()
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int main()
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{
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// Prepare data.
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int n = 5000;
@@ -73,26 +73,26 @@ Alternatively, matplotlib-cpp also supports some C++11-powered syntactic sugar:
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using namespace std;
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namespace plt = matplotlibcpp;
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int main()
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{
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int main()
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{
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// Prepare data.
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int n = 5000; // number of data points
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vector<double> x(n),y(n);
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vector<double> x(n),y(n);
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for(int i=0; i<n; ++i) {
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double t = 2*M_PI*i/n;
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x.at(i) = 16*sin(t)*sin(t)*sin(t);
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y.at(i) = 13*cos(t) - 5*cos(2*t) - 2*cos(3*t) - cos(4*t);
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}
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// plot() takes an arbitrary number of (x,y,format)-triples.
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// plot() takes an arbitrary number of (x,y,format)-triples.
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// x must be iterable (that is, anything providing begin(x) and end(x)),
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// y must either be callable (providing operator() const) or iterable.
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// y must either be callable (providing operator() const) or iterable.
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plt::plot(x, y, "r-", x, [](double d) { return 12.5+abs(sin(d)); }, "k-");
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// show plots
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plt::show();
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}
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}
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```
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g++ modern.cpp -std=c++11 -I/usr/include/python2.7 -lpython
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@@ -256,10 +256,10 @@ The same technique can be used for linking against a custom build of python
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Why?
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----
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I initially started this library during my diploma thesis. The usual approach of
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I initially started this library during my diploma thesis. The usual approach of
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writing data from the c++ algorithm to a file and afterwards parsing and plotting
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it in python using matplotlib proved insufficient: Keeping the algorithm
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and plotting code in sync requires a lot of effort when the C++ code frequently and substantially
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and plotting code in sync requires a lot of effort when the C++ code frequently and substantially
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changes. Additionally, the python yaml parser was not able to cope with files that
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exceed a few hundred megabytes in size.
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@@ -290,4 +290,4 @@ Todo/Issues/Wishlist
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in "".'
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* MacOS: `Unable to import matplotlib.pyplot`. Cause: In mac os image rendering back end of matplotlib (what-is-a-backend to render using the API of Cocoa by default). There is Qt4Agg and GTKAgg and as a back-end is not the default. Set the back end of macosx that is differ compare with other windows or linux os.
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Solution is discribed [here](https://stackoverflow.com/questions/21784641/installation-issue-with-matplotlib-python?noredirect=1&lq=1), additional information can be found there too(see links in answers).
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Solution is described [here](https://stackoverflow.com/questions/21784641/installation-issue-with-matplotlib-python?noredirect=1&lq=1), additional information can be found there too(see links in answers).

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