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‎docs/build/html/_sources/docs.rst.txt

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The Docs
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********
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.. _STL vector: https://en.cppreference.com/w/cpp/container/vector
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`matplotlibcpp` namespace
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=========================
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.. _style:
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The style of a line
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===================
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All functions are organised in the namespace `matplotlibcpp`.
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For convenience (and in spirit of the Python norm) we usually
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define the abbreviation `plt`:
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The style of a line in a plot has three characteristics; the
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marker, the color and the line.
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They can be specified using the keywords map
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or the formatting string.
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They keywords map is a possibility to specify additional parameters
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for the plot commands. To set the line style it can be used as follows.
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.. code-block:: cpp
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// for a red dashed line with circle markers
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plt::plot(x, y, {{"color", "red"}, {"marker": "o"}, {"linestyle": "--"}})
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// shorthand notation for color and linestyle is usually supported
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plt::plot(x, y, {{"c", "red"}, {"marker": "o"}, {"ls": "--"}})
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See sections `Marker`_, `Color`_ and `Line`_
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for supported values.
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The formatting string is a convenient notation to set the style of a line.
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Almost all plot commands support the formatting string as
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first argument after the `x` and `y` data.
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A formatting string's structure is
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```
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s = "<marker><color><line>"
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```
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#include "matplotlibcpp.h"
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namespace plt = matplotlibcpp;
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The rules are
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x. The valid parameters (``<>``) are listed in the following sections.
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x. Different ordering of the parameters is supported.
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However, to avoid ambiguity this order should be used throughout.
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x. Parameters might be dropped.
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x. If only the colour parameters is specified, more color
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parameters are supported, see section `Color`_.
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**Examples**
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The function can then be accessed via:
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.. code-block:: cpp
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"b" // blue line
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"og" // green circles, no connecting line
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"og-" // green circles with connecting line
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"r--" // dashed red line
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"seagreen" // a solid line in the colour seagreen
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"#008000" // a solid line coloured in the HEX code
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The following sections list the supported markers, colours and linestyles.
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Marker
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++++++
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matplotlibcpp::plot(x, y);
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plt::loglog(x, y); // if we defined namespace plt = matplotlibcpp
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========= ======
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character marker
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========= ======
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'o' circle
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========= ======
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Color
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+++++
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The color can be specified via a character code,
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a full name or a HEX code.
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.. note::
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If a formatting string contains more parameters than just the color,
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only the character code is supported.
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Character code
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^^^^^^^^^^^^^^
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========= ======
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character color
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========= ======
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'r' red
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========= ======
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Full name
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^^^^^^^^^
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E.g. seagreen
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HEX code
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^^^^^^^^
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Just use HEX
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Line
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++++
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========= ======
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character line
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========= ======
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'-' solid
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========= ======
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`Vector` type
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=============
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The `Vector` type
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=================
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.. _STL vector: https://en.cppreference.com/w/cpp/container/vector
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.. cpp:type:: Vector
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Plot commands
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=============
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.. cpp:namespace:: matplotlibcpp
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.. _mpl_plot: https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.pyplot.plot.html
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.. cpp:function::
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template <typename VectorX, typename VectorY> \
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bool plot(const VectorX &x, const VectorY &y, const std::string &s = "", \
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const std::map<std::string, std::string> &keywords = {})
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.. image:: ../matplotlib_icon.png
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.. image:: ../img/matplotlib_icon.png
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:align: right
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:width: 20px
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bool plot(const VectorY &y, const std::string &format = "", \
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const std::map<std::string, std::string> &keywords = {})
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.. image:: ../matplotlib_icon.png
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.. image:: ../img/matplotlib_icon.png
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:align: right
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:width: 20px
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bool loglog(const VectorX &x, const VectorY &y, const std::string &s = "", \
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const std::map<std::string, std::string> &keywords = {})
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.. image:: ../matplotlib_icon.png
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.. image:: ../img/matplotlib_icon.png
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:align: right
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bool loglog(const VectorY &y, const std::string &s = "", \
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const std::map<std::string, std::string> &keywords = {})
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.. image:: ../matplotlib_icon.png
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.. image:: ../img/matplotlib_icon.png
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:align: right
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:width: 20px
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bool semilogx(const VectorX &x, const VectorY &y, const std::string &s = "", \
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const std::map<std::string, std::string> &keywords = {})
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.. image:: ../matplotlib_icon.png
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.. image:: ../img/matplotlib_icon.png
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bool semilogx(const VectorY &y, const std::string &s = "", \
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const std::map<std::string, std::string> &keywords = {})
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.. image:: ../matplotlib_icon.png
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.. image:: ../img/matplotlib_icon.png
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bool semilogy(const VectorX &x, const VectorY &y, const std::string &s = "", \
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const std::map<std::string, std::string> &keywords = {})
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.. image:: ../matplotlib_icon.png
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.. image:: ../img/matplotlib_icon.png
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bool semilogy(const VectorY &y, const std::string &s = "", \
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const std::map<std::string, std::string> &keywords = {})
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.. image:: ../img/matplotlib_icon.png
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template <typename Numeric> \
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void text(Numeric x, Numeric y, const std::string &s = "")
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.. cpp:function::
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inline long figure(long number = -1)
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inline void legend(const std::string &loc = "best", \
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const Vector &bbox_to_anchor = Vector())
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template <typename Numeric> \
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void xlim(Numeric left, Numeric right)
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template <typename Numeric> \
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inline void title(const std::string &titlestr, \
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‎docs/build/html/_sources/example.rst.txt

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.. _example:
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First examples
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**************
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Minimal working example
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=======================
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.. code-block:: cpp
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#include "matplotlibcpp.h"
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#include <vector>
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namespace plt = matplotlibcpp;
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int main() {
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std::vector<double> y = {1, 3, 2, 4};
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plt::plot(y);
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plt::savefig("minimal.pdf");
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}
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produces the output
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.. image:: ../img/examples/minimal.pdf
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Standard usage
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==============
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.. code-block:: cpp
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#define _USE_MATH_DEFINES // for sin/log
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#include "../matplotlibcpp.h"
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#include <cmath>
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#include <iostream>
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namespace plt = matplotlibcpp;
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int main() {
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int n = 5000; // 5000 data points
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std::vector<double> x(n), y(n), z(n), w(n, 2);
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for (int i = 0; i < n; ++i) {
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x.at(i) = i * i;
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y.at(i) = sin(2 * M_PI * i / 360.0);
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z.at(i) = log(i);
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}
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plt::figure(); // declare a new figure (optional if only one is used)
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plt::plot(x, y); // automatic coloring: tab:blue
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plt::plot(x, w, "r--"); // red dashed line
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plt::plot(x, z, {{"label", "log(x)"}}); // legend label "log(x)"
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plt::xlim(0, 1000 * 1000); // x-axis interval: [0, 1e6]
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plt::title("Standard usage"); // set a title
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plt::legend(); // enable the legend
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plt::savefig("standard.pdf"); // save the figure
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}
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produces the output
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.. image:: ../img/examples/standard.pdf
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Eigen vectors
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=============
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.. code-block:: cpp
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#include "../../matplotlibcpp.h"
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#include <Eigen/Dense>
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#include <iostream>
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namespace plt = matplotlibcpp;
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int main() {
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Eigen::VectorXd x = Eigen::VectorXd::LinSpaced(200, 0, 6);
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Eigen::VectorXd y, z;
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// y = exp(sin(x)), z = exp(cos(z))
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y = x.array().sin().exp().matrix();
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z = x.array().cos().exp().matrix();
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plt::figure();
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plt::semilogx(x, y, "tab:red");
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plt::semilogx(x, z, "tab:blue", {{"linestyle", "--"}});
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plt::xlabel("Time in lecture");
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plt::ylabel("Student confusion");
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plt::grid();
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plt::savefig("eigen.pdf");
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plt::show(); // show the figure instead of saving it
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}
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produces the output
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.. image:: ../img/examples/eigen.pdf

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