matplotlib-cpp
vnlog
matplotlib-cpp | vnlog | |
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10 | 24 | |
4,186 | 158 | |
- | - | |
0.0 | 5.7 | |
6 months ago | 10 days ago | |
C++ | Perl | |
MIT License | - |
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matplotlib-cpp
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Any user of Matplotlibcpp here? Need some help with updating plots
The library (matplotlibcpp) on GitHub
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C++ DSP Tools
I am aware of this excellent matplotlib C++ wrapper. Are there any C/C++ tools similar to scipy.signals? I currently use the python tools to generate header files and can translate algorithms to C++, but I would like a more direct well to develop in C++.
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Matplotlib-cpp install in Visual Studio???
I want to plot graphs in C++ with matplotlib-cpp (https://github.com/lava/matplotlib-cpp). But I dont know how to install it in Visual Studio. I followed the instruction on website. But I got Errors like 'Python.h not found' ...
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I want to make a program that draws a graphical function to a png and I don't know how.
If you want it to be as simple as possible Iād recommend this matplotlib wrapper
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C++ plotting library for Windows + MinGW similar to matplotlib in Python?
THere is also this one, which is header only, so it's much simpler to install https://github.com/lava/matplotlib-cpp
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Is there an efficient way to give parameters to a non-Python script and get a return value to use back in Python?
There's actually a wrapper for matplotlib for cpp https://github.com/lava/matplotlib-cpp, so it's more or less doing exactly what you asked. Cpp doing all the heavy lifting, then matplotlib making the graphs.
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How to plot graphs in C++
There's matplotlib-cpp if you want to use the same kind of interface as with python.
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Best scientific graphing library?
or https://github.com/lava/matplotlib-cpp
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(Clion, macOS, arm64) What is the "easiest" way of plotting 2D graphs that can be added to already finished project?
well I usually use Python's matplotlib to do the plottings. It was the easiest I think. Before that, I attempted this library, which is a somewhat wrapper for C++: https://github.com/lava/matplotlib-cpp
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Which Plotting Libraryheaderframework Do You
Since you mentioned it, there is a wrapper for matplotlib: https://github.com/lava/matplotlib-cpp
vnlog
- Vnlog: Process labelled tabular ASCII data using normal Unix tools
- Process tabular data with Unix tools
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Qsv: Efficient CSV CLI Toolkit
For simple analyses (i.e. what most people do most of the time) doing this on the commandline gets you there faster. I use vnlog (https://github.com/dkogan/vnlog/). By the time you fired up your editor to write your Python code, I already have analyses and plots ready.
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Joining CSV Data Without SQL: An IP Geolocation Use Case
Alternative very appropriate for some uses cases: `vnl-join` from the vnlog toolkit (https://github.com/dkogan/vnlog). Uses the `join` tool from coreutils (works well, has been around forever), and `vnlog` for nice column labelling
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Miller: Like Awk, sed, cut, join, and sort for CSV, TSV, and tabular JSON
There's also https://github.com/dkogan/vnlog/ which is a wrapper around the existing coreutils, so all the options work, and there's nothing to learn
- vnlog: making awk and sort and join (and friends) smarter
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Awk equivalents to SQL query data manipulation
And to improve the ergonomics, the vnlog wrappers are available to operate on field names, while retaining the internals of the core tools:
https://github.com/dkogan/vnlog/
- Vnlog: Making Awk, grep, sort and join smarter
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Learn to Process Text in Linux Using Grep, Sed, and Awk
I sorta, kinda agree. Tools written in AWK (and friends) are indeed somewhat unmaintainable, but they're really close to being just right for a LOT of applications. The vnlog toolkit (https://github.com/dkogan/vnlog) adds just a little bit of syntactic sugar to the usual commandline tools to make processing scripts robust and easy to read and write. This was not my intent initially, but I now do most of my data processing with the shell and vnl-wrapped awk (and sort and join, ...) It's really nice. If you write stuff in awk, you should check it out. (Disclaimer: I'm the author)
- Extending Awk with Field Labels
What are some alternatives?
matplotplusplus - Matplot++: A C++ Graphics Library for Data Visualization šš¾
ttyplot - a realtime plotting utility for terminal/console with data input from stdin
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
feedgnuplot - Tool to plot realtime and stored data from the commandline, using gnuplot.
RecordStream - commandline tools for slicing and dicing JSON records.
Pangolin - Pangolin is a lightweight portable rapid development library for managing OpenGL display / interaction and abstracting video input.
nvim-ipy - IPython/Jupyter plugin for Neovim
matplotlib - C++ wrappers around python's matplotlib
jupytext.vim - Vim plugin for editing Jupyter ipynb files via jupytext
implot - Immediate Mode Plotting