NumCpp 使用示例一 环境配置与基本api使用
2023-09-14 09:15:05 时间
1、下载NumCpp
https://github.com/dpilger26/NumCpp ,保留include目录就行
2、下载并编译Boost库
下载Boost库 并按照下列链接C++ Boost库的编译及使用 - mingzhang - 博客园进行编译
3、配置Boost和Numcpp
在vs项目中配置numcpp和boost,其中numcpp和boost的vs配置如图1所示
4、进行测试
特别需要注意的是 nc::random::randInt<int>({ 3, 4 }, 0, 10);这与官网发布的使用方法不一致
#include <NumCpp.hpp>
#include "boost/filesystem.hpp"
using namespace nc;
int main()
{
// Containers
nc::NdArray<int> a0 = { {1, 2}, {3, 4} };
nc::NdArray<int> a1 = { {1, 2}, {3, 4}, {5, 6} };
a1.reshape(2, 3);
auto a2 = a1.astype<double>();
// Initializers
auto a3 = nc::linspace<int>(1, 10, 5);
auto a4 = nc::arange<int>(3, 7);
auto a5 = nc::eye<int>(4);
auto a6 = nc::zeros<int>(3, 4);
auto a7 = nc::NdArray<int>(3, 4) = 0;
auto a8 = nc::ones<int>(3, 4);
auto a9 = nc::NdArray<int>(3, 4) = 1;
auto a10 = nc::nans(3, 4);
auto a11 = nc::NdArray<double>(3, 4) = nc::constants::nan;
auto a12 = nc::empty<int>(3, 4);
auto a13 = nc::NdArray<int>(3, 4);
// Slicing/Broadcasting
//auto a14 = nc::random<int>::randInt({ 10, 10 }, 0, 100);
auto a14 = nc::random::randInt({ 10, 10 }, 0, 100);
auto value = a14(2, 3);//randInt
auto slice = a14({ 2, 5 }, { 2, 5 });
auto rowSlice = a14(a14.rSlice(), 7);
auto values = a14[a14 > 50];
a14.putMask(a14 > 50, 666);
// Random
nc::random::seed(666);
auto a15 = nc::random::randN<double>({ 3, 4 });
auto a16 = nc::random::randInt<int>({ 3, 4 }, 0, 10);
auto a17 = nc::random::rand<double>({ 3, 4 });
auto a18 = nc::random::choice<double>(a17, 3);
// Concatenation
auto a = nc::random::randInt<int>({ 3, 4 }, 0, 10);
auto b = nc::random::randInt<int>({ 3, 4 }, 0, 10);
auto c = nc::random::randInt<int>({ 3, 4 }, 0, 10);
auto a19 = nc::stack({ a, b, c }, nc::Axis::ROW);
auto a20 = nc::vstack({ a, b, c });
auto a21 = nc::hstack({ a, b, c });
auto a22 = nc::append(a, b, nc::Axis::COL);
// Diagonal, Traingular, and Flip
auto d = nc::random::randInt<int>({ 5, 5 }, 0, 10);
auto a23 = nc::diagonal(d);
auto a24 = nc::triu(a);
auto a25 = nc::tril(a);
auto a26 = nc::flip(d, nc::Axis::ROW);
auto a27 = nc::flipud(d);
auto a28 = nc::fliplr(d);
// iteration
for (auto it = a.begin(); it < a.end(); ++it)
{
std::cout << *it << " ";
}
std::cout << std::endl;
for (auto& arrayValue : a)
{
std::cout << arrayValue << " ";
}
std::cout << std::endl;
// Logical
auto a29 = nc::where(a > 5, a, b);
auto a30 = nc::any(a);
auto a31 = nc::all(a);
auto a32 = nc::logical_and(a, b);
auto a33 = nc::logical_or(a, b);
auto a34 = nc::isclose(a, b);
auto a35 = nc::allclose(a, b);
// Comparisons
auto a36 = nc::equal(a, b);
auto a37 = a == b;
auto a38 = nc::not_equal(a, b);
auto a39 = a != b;
auto a40 = nc::nonzero(a);
// Minimum, Maximum, Sorting
auto value1 = nc::min(a);
auto value2 = nc::max(a);
auto value3 = nc::argmin(a);
auto value4 = nc::argmax(a);
auto a41 = nc::sort(a, nc::Axis::ROW);
auto a42 = nc::argsort(a, nc::Axis::COL);
auto a43 = nc::unique(a);
auto a44 = nc::setdiff1d(a, b);
auto a45 = nc::diff(a);
// Reducers
auto value5 = nc::sum<int>(a);
auto a46 = nc::sum<int>(a, nc::Axis::ROW);
auto value6 = nc::prod<int>(a);
auto a47 = nc::prod<int>(a, nc::Axis::ROW);
auto value7 = nc::mean(a);
auto a48 = nc::mean(a, nc::Axis::ROW);
auto value8 = nc::count_nonzero(a);
auto a49 = nc::count_nonzero(a, nc::Axis::ROW);
// I/O
a.print();
std::cout << a << std::endl;
auto tempDir = boost::filesystem::temp_directory_path();
auto tempTxt = (tempDir / "temp.txt").string();
a.tofile(tempTxt);
auto a50 = nc::fromfile<int>(tempTxt);
auto tempBin = (tempDir / "temp.bin").string();
nc::dump(a, tempBin);
auto a51 = nc::load<int>(tempBin);
// Mathematical Functions
// Basic Functions
auto a52 = nc::abs(a);
auto a53 = nc::sign(a);
auto a54 = nc::remainder(a, b);
auto a55 = nc::clip(a, 3, 8);
auto xp = nc::linspace<double>(0.0, 2.0 * nc::constants::pi, 100);
auto fp = nc::sin(xp);
auto x = nc::linspace<double>(0.0, 2.0 * nc::constants::pi, 1000);
auto f = nc::interp(x, xp, fp);
// Exponential Functions
auto a56 = nc::exp(a);
auto a57 = nc::expm1(a);
auto a58 = nc::log(a);
auto a59 = nc::log1p(a);
// Power Functions
auto a60 = nc::power<int>(a, 4);
auto a61 = nc::sqrt(a);
auto a62 = nc::square(a);
auto a63 = nc::cbrt(a);
// Trigonometric Functions
auto a64 = nc::sin(a);
auto a65 = nc::cos(a);
auto a66 = nc::tan(a);
// Hyperbolic Functions
auto a67 = nc::sinh(a);
auto a68 = nc::cosh(a);
auto a69 = nc::tanh(a);
// Classification Functions
auto a70 = nc::isnan(a.astype<double>());
//nc::isinf(a);
// Linear Algebra
auto a71 = nc::norm<int>(a);
auto a72 = nc::dot<int>(a, b.transpose());
auto a73 = nc::random::randInt<int>({ 3, 3 }, 0, 10);
auto a74 = nc::random::randInt<int>({ 4, 3 }, 0, 10);
auto a75 = nc::random::randInt<int>({ 1, 4 }, 0, 10);
auto value9 = nc::linalg::det(a73);
auto a76 = nc::linalg::inv(a73);
auto a77 = nc::linalg::lstsq(a74, a75);
auto a78 = nc::linalg::matrix_power<int>(a73, 3);
auto a79 = nc::linalg::multi_dot<int>({ a, b.transpose(), c });
nc::NdArray<double> u;
nc::NdArray<double> s;
nc::NdArray<double> vt;
nc::linalg::svd(a.astype<double>(), u, s, vt);
}
5、测试结果
第一次运行时可能会报错,按图2修改后即可
6、使用numcpp计算向量的余弦距离
#include <iostream>
#include <NumCpp.hpp>
using namespace nc;
template<typename dtype>
float alt_cosine(const NdArray<dtype>& x, const NdArray<dtype>& y) {
float x_y=nc::norm(x).at(0)* nc::norm(y).at(0);
if (x_y < 0.000001) {
x_y = 0.000001;
}
float xs=nc::sum(nc::abs(x)).at(0);
float ys = nc::sum(nc::abs(y)).at(0);
if (xs + ys < 0.1) {
return 0;
}
return 1-nc::dot(x,y).at(0)/x_y;
}
int main()
{
nc::NdArray<float> a = { {0.2}, {-1.43}, {1.34} };
nc::NdArray<float> b = { {-2.2}, {0.3}, {2.34} };
float dis = alt_cosine(a, b);
printf_s("向量A:");
a.print();
printf_s("向量B:");
b.print();
printf_s("余弦距离: %f", dis);
}
运行结果
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