Pydrawer: The Python package for visualizing curves and linear transformations in a super simple way

Overview

pydrawer 📐

licence

The Python package for visualizing curves and linear transformations in a super simple way.

✏️ Installation

Install pydrawer package with pip:

$ pip install pydrawer

or clone the repository:

$ git clone https://github.com/dylannalex/pydrawer.git

✏️ Usage

📌 Drawing curves

To start drawing curves you need to create a GraphingCalculator object:

from pydrawer import GraphingCalculator

graphing_calculator = GraphingCalculator()

pydrawer let you draw parametrized curves and mathematical functions. Lets create and draw the square root of x function for this example:

def square_root(x):
    return x ** (1 / 2)

graphing_calculator.draw(square_root, (0, 25))  # We want to draw the function from x = 0 to x = 25

You can also accomplish the same result by defining the square root of x as a parameterized function:

def square_root(t):
    return t, t ** (1 / 2)

graphing_calculator.draw(square_root, (0, 25))  # We want to draw the curve from t = 0 to t = 25

📌 Linear transformations

pydrawer provides a curves module which contains functions for modifying curves with linear transformations.

from pydrawer import curves

📍 curves.transform_curve()

This function let you apply a linear transformation (specified as a matrix) to a parametrized curve. curves.transform_curve() returns the transformed curve.

Parameters:

  • curve: parametrized curve
  • matrix: linear transformation's matrix

The matrix is a tuple of tuples (or list of lists) which has the same structure as numpy arrays. A matrix
[ a b ]
[ c d ]
should be defined as:

matrix = ((a,b), (c,d))

Example:

matrix = ((1, 0), (0, -2))
graphing_calculator.draw(curves.transform_curve(square_root, matrix), (0, 25))

📍 curves.rotate_curve()

Rotates a curve anticlockwise by the given angle.

Parameters:

  • curve: parametrized curve
  • angle: angle in radians
    Example:
angle = pi / 4  # 90 degrees
graphing_calculator.draw(curves.rotate_curve(square_root, angle), (0, 25))

📍 curves.scale_curve()

Scales the given curve by the given scalar.

Parameters:

  • curve: parametrized curve
  • scalar: scalar for scaling the curve
    Example:
scalar = 2  # The function is going to be twice as bigger
graphing_calculator.draw(curves.scale_curve(square_root, 2), (0, 25))
Comments
  • Update Latex expressions

    Update Latex expressions

    Some changes might feel unnecessary, but I felt like it would be better to have those changes. Like the more conventional font for real number set or the extra line of explanation for linear transformation.

    opened by ritamsaha00 8
  • v1.1.1

    v1.1.1

    • Updated plotter:
      • Created 'curvipy.ScreenConfiguration(window_title, background_color, window_width, window_height)'.
        • Removed 'window_title' and 'background_color' attributes from 'curvipy.Plotter' as they are now defined at 'curvipy.ScreenConfiguration'.
      • Updated 'curvipy.AxesConfiguration' attributes:
        • Added 'show_axes_direction'
        • Added 'x_ticks_distance' and 'y_ticks_distance'
          • Removed 'x_axis_scale' and 'y_axis_scale'
        • Renamed 'x_axis_ticks' and 'y_axis_ticks' to 'x_ticks' and 'y_ticks'
        • Renamed 'x_axis_tick_decimals' and 'y_axis_tick_decimals' to 'x_ticks_decimals' and 'y_ticks_decimals'
        • Renamed 'x_axis_tick_number_align' and 'y_axis_tick_number_align' to 'x_ticks_align' and 'y_ticks_align'
        • Renamed 'tick_number_color' to 'ticks_color'
        • Renamed 'tick_number_font' to 'ticks_font'
      • Updated 'curvipy.PlottingConfiguration' attributes:
        • Removed 'PlottingConfiguration.show_vector_values'
        • Removed 'PlottingConfiguration.vector_values_line_color'
        • Removed 'PlottingConfiguration.vector_values_line_width'
    opened by dylannalex 0
  • Update GIFs from docs/source/img for curvipy v1.1.0

    Update GIFs from docs/source/img for curvipy v1.1.0

    GIFs shown on documentation (both README and docs) are from curvipy v1.0.1. To update the animations, just run the code shown above the GIF and record the screen with some third party software (e.g. ActivePresenter).

    documentation good first issue 
    opened by dylannalex 0
  • v1.1.0

    v1.1.0

    • Updated plotter:
      • 'curvipy.Plotter' now draws axes ticks and arrows (to indicate the axis direction).
      • Removed 'interval: curvipy.Interval' parameter of 'curvipy.Plotter.plot_curve()' and 'curvipy.Plotter.plot_animated_curve()' methods.
      • 'curvipy.Plotter.plot_vector()' can now display vector's components.
      • Created 'curvipy.PlottingConfiguration' and 'curvipy.AxesConfiguration'
        • Updated 'curvipy.Plotter' builder parameters to 'curvipy.Plotter(window_title: str = "Curvipy", background_color: str = "#FFFFFF", plotting_config: PlottingConfiguration, axes_config: AxesConfiguration)'.
        • Now 'x_axis_scale' and 'y_axis_scale' (defined at curvipy.AxesConfiguration') can take any real value (negative or positive) and default to one.
    • Updated vector:
      • Added vector, addition, subtraction, scaling and equality.
      • Created 'curvipy.Vector.place()' method which moves the vector to a specified set of coordinates.
    • Updated curves:
      • Removed 'interval: curvipy.Interval' parameter of 'curvipy.Curve.points()' method.
      • Added 'interval: curvipy.Interval' parameter to 'curvipy.Function' and 'curvipy.ParametricFunction' builder.
    • Updated documentation.
    opened by dylannalex 0
  • Show numbers on the x and y axes

    Show numbers on the x and y axes

    A few aspects to keep in mind:

    • Number shown depend on 'curvipy.Plotter.x_axis_scale' and 'curvipy.Plotter.y_axis_scale'.
    • Add a new 'curvipy.Plotter' attribute to indicate the quantity of numbers to be displayed on the axes.
    • Add a method 'curvipy.ScreenFacade' to display text on screen. This method will be used by 'curvipy.Plotter' to display the numbers on the axes.
    enhancement 
    opened by dylannalex 0
  • Add vector addition and subtraction operations.

    Add vector addition and subtraction operations.

    Given the vectors $\vec{v}$ and $\vec{w}$, we want to compute $\vec{n} = \vec{v} + \vec{w}$ and $\vec{m} = \vec{v} - \vec{w}$ as shown below:

    import curvipy
    
    v = curvipy.Vector([10, 10])
    w = curvipy.Vector([5, -5])
    n = v + w
    m = v - w
    

    This is not possible on Curvipy 1.0.1. To do so, users have to calculate $\vec{n}$ and $\vec{m}$ manually:

    import curvipy
    
    v = curvipy.Vector([10, 10])
    w = curvipy.Vector([5, -5])
    n = curvipy.Vector([10 + 5, 10 + (-5)])
    m = curvipy.Vector([10 - 5, 10 - (-5)])
    
    enhancement 
    opened by dylannalex 0
  • Add an 'exclude' parameter to 'curvipy.Interval'

    Add an 'exclude' parameter to 'curvipy.Interval'

    The idea is to exclude a list of values from the interval, so they won't be considered when plotting the curve.

    curvipy.Interval:
        Parameters
        ----------
        start : int or float
            Real number in which the interval starts.
        end : int or float
            Real number in which the interval ends.
        samples: int
            Number of values within the interval. The more samples, the more precise the \
            curve plot is.
        exclude: list[int or float]
            List of values that will be excluded from the interval.
    

    Example: imagine we want to plot the curve $f(x) = 1/x$ on the interval $x \in [-a, a]$. Since $f(0)$ is not defined, the current way of doing that is to create two intervals:

    import curvipy
    
    
    def f(x):
        return 1 / x
    
    
    plotter = curvipy.Plotter()
    
    a = 10
    curve = curvipy.Function(f)
    interval_one = curvipy.Interval(-a, -0.1, 100)
    interval_two = curvipy.Interval(0.1, a, 100)
    
    plotter.plot_curve(curve, interval_one)
    plotter.plot_curve(curve, interval_two)
    plotter.wait()
    

    With an 'exclude' parameter on 'curvipy.Interval' class, we could accomplish the same goal with only one interval:

    import curvipy
    
    
    def f(x):
        return 1 / x
    
    
    plotter = curvipy.Plotter()
    
    a = 10
    curve = curvipy.Function(f)
    interval = curvipy.Interval(-a, a, 200, exclude=[0])
    
    plotter.plot_curve(curve, interval)
    plotter.wait()
    

    If somebody wants to work on it, please make a comment. Implementing this is not as easy as it seems and might need modifications in other classes like curvipy.Plotter and/or curvipy.Curve.

    enhancement wontfix 
    opened by dylannalex 0
  • 1.0.1

    1.0.1

    This update brings a structure improvement and better documentation. Curvipy 1.0.0 scripts are completely compatible with this new version:

    • Made modules private. Now importing curvipy will only import its classes.
    • Created 'curvipy._screen' module. This module contains the 'ScreenFacade' class which encapsulates the turtle package functionalities.
    • Updated documentation.
    opened by dylannalex 0
  • Bump to 1.0.0

    Bump to 1.0.0

    • Added 'curvipy.curve' module. This module contains the classes:
      • 'Curve': base class for all two-dimensional curves.
      • 'Function': unction that given a real number returns another real number.
      • 'ParametricFunction': function that given a real number returns a 2-dimensional vector.
      • 'TransformedCurve': applies a linear transformation to the given curve.
    • Added 'curvipy.interval' module. This module contains the class 'Interval', which is the interval in which a curve will be plotted.
    • Added 'curvipy.vector' module. This module contains the class 'Vector', which is a two-dimensional vector.
    • Updated 'curvipy.graphing_calculator' module (now named 'curvipy.plotter'):
      • Renamed 'curvipy.graphing_calculator' to 'curvipy.plotter' and its class 'GraphingCalculator' to 'Plotter'.
      • Replaced methods 'draw_vector', 'draw_curve' and 'draw_animated_curve' with 'plot_vector', 'plot_curve' and 'plot_animated_curve' respectively.
    • Deleted 'curvipy.lintrans' module. Linear transformations can now be defined with 'curvipy.TransformedCurve' class.
    • Updated README and docs.
    • Deleted 'examples' folder since README and docs now contains a Usage Example section.
    opened by dylannalex 0
  • A rotation function

    A rotation function

    A function that rotates the curve by a certain $\theta$ angle. The implementation is easy, it will take $\theta$, and the curve as input, and method is just like TransformedCurve, but the matrix used will be:

    $$A(\theta)=\begin{pmatrix} \cos\theta & -\sin\theta\ \sin\theta & \cos\theta \end{pmatrix}$$

    enhancement good first issue 
    opened by ritamsaha00 2
Releases(1.1.1)
  • 1.1.1(Dec 31, 2022)

    • Updated plotter:
      • Created 'curvipy.ScreenConfiguration(window_title, background_color, window_width, window_height)'.
        • Removed 'window_title' and 'background_color' attributes from 'curvipy.Plotter' as they are now defined at 'curvipy.ScreenConfiguration'.
      • Updated 'curvipy.AxesConfiguration' attributes:
        • Added 'show_axes_direction'
        • Added 'x_ticks_distance' and 'y_ticks_distance'
          • Removed 'x_axis_scale' and 'y_axis_scale'
        • Renamed 'x_axis_ticks' and 'y_axis_ticks' to 'x_ticks' and 'y_ticks'
        • Renamed 'x_axis_tick_decimals' and 'y_axis_tick_decimals' to 'x_ticks_decimals' and 'y_ticks_decimals'
        • Renamed 'x_axis_tick_number_align' and 'y_axis_tick_number_align' to 'x_ticks_align' and 'y_ticks_align'
        • Renamed 'tick_number_color' to 'ticks_color'
        • Renamed 'tick_number_font' to 'ticks_font'
      • Updated 'curvipy.PlottingConfiguration' attributes:
        • Removed 'PlottingConfiguration.show_vector_values'
        • Removed 'PlottingConfiguration.vector_values_line_color'
        • Removed 'PlottingConfiguration.vector_values_line_width'
    Source code(tar.gz)
    Source code(zip)
  • 1.1.0(Dec 28, 2022)

    • Updated plotter:
      • 'curvipy.Plotter' now draws axes ticks and arrows (to indicate the axis direction).
      • Removed 'interval: curvipy.Interval' parameter of 'curvipy.Plotter.plot_curve()' and 'curvipy.Plotter.plot_animated_curve()' methods.
      • 'curvipy.Plotter.plot_vector()' can now display vector's components.
      • Created 'curvipy.PlottingConfiguration' and 'curvipy.AxesConfiguration'
        • Updated 'curvipy.Plotter' builder parameters to 'curvipy.Plotter(window_title: str = "Curvipy", background_color: str = "#FFFFFF", plotting_config: PlottingConfiguration, axes_config: AxesConfiguration)'.
        • Now 'x_axis_scale' and 'y_axis_scale' (defined at curvipy.AxesConfiguration') can take any real value (negative or positive) and default to one.
    • Updated vector:
      • Added vector, addition, subtraction, scaling and equality.
      • Created 'curvipy.Vector.place()' method which moves the vector to a specified set of coordinates.
    • Updated curves:
      • Removed 'interval: curvipy.Interval' parameter of 'curvipy.Curve.points()' method.
      • Added 'interval: curvipy.Interval' parameter to 'curvipy.Function' and 'curvipy.ParametricFunction' builder.
    • Updated documentation.
    Source code(tar.gz)
    Source code(zip)
  • 1.0.1(Nov 28, 2022)

    This update brings a structure improvement and better documentation. Curvipy 1.0.0 scripts are completely compatible with this new version:

    • Made modules private. Now importing curvipy will only import its classes.
    • Created 'curvipy._screen' module. This module contains the 'ScreenFacade' class which encapsulates the turtle package functionalities.
    • Updated documentation.
    Source code(tar.gz)
    Source code(zip)
  • 1.0.0(Oct 22, 2022)

    • Added 'curvipy.curve' module. This module contains the classes:
      • 'Curve': base class for all two-dimensional curves.
      • 'Function': unction that given a real number returns another real number.
      • 'ParametricFunction': function that given a real number returns a 2-dimensional vector.
      • 'TransformedCurve': applies a linear transformation to the given curve.
    • Added 'curvipy.interval' module. This module contains the class 'Interval', which is the interval in which a curve will be plotted.
    • Added 'curvipy.vector' module. This module contains the class 'Vector', which is a two-dimensional vector.
    • Updated 'curvipy.graphing_calculator' module (now named 'curvipy.plotter'):
      • Renamed 'curvipy.graphing_calculator' to 'curvipy.plotter' and its class 'GraphingCalculator' to 'Plotter'.
      • Replaced methods 'draw_vector', 'draw_curve' and 'draw_animated_curve' with 'plot_vector', 'plot_curve' and 'plot_animated_curve' respectively.
    • Deleted 'curvipy.lintrans' module. Linear transformations can now be defined with 'curvipy.TransformedCurve' class.
    • Updated README and docs.
    • Deleted 'examples' folder since README and docs now contains a Usage Example section.
    Source code(tar.gz)
    Source code(zip)
Owner
Dylan Tintenfich
:books: Systems engineering student at Universidad Tecnológica Nacional Mendoza.
Dylan Tintenfich
Decision Border Visualizer for Classification Algorithms

dbv Decision Border Visualizer for Classification Algorithms Project description A python package for Machine Learning Engineers who want to visualize

Sven Eschlbeck 1 Nov 01, 2021
Calendar heatmaps from Pandas time series data

Note: See MarvinT/calmap for the maintained version of the project. That is also the version that gets published to PyPI and it has received several f

Martijn Vermaat 195 Dec 22, 2022
basemap - Plot on map projections (with coastlines and political boundaries) using matplotlib.

Basemap Plot on map projections (with coastlines and political boundaries) using matplotlib. ⚠️ Warning: this package is being deprecated in favour of

Matplotlib Developers 706 Dec 28, 2022
Insert SVGs into matplotlib

Insert SVGs into matplotlib

Andrew White 35 Dec 29, 2022
A python visualization of the A* path finding algorithm

A python visualization of the A* path finding algorithm. It allows you to pick your start, end location and make obstacles and then view the process of finding the shortest path. You can also choose

Kimeon 4 Aug 02, 2022
BGraph is a tool designed to generate dependencies graphs from Android.bp soong files.

BGraph BGraph is a tool designed to generate dependencies graphs from Android.bp soong files. Overview BGraph (for Build-Graphs) is a project aimed at

Quarkslab 10 Dec 19, 2022
nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.

nptsne nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation and HSNE modelling. For more detail s

Biomedical Visual Analytics Unit LUMC - TU Delft 29 Jul 05, 2022
Pydrawer: The Python package for visualizing curves and linear transformations in a super simple way

pydrawer 📐 The Python package for visualizing curves and linear transformations in a super simple way. ✏️ Installation Install pydrawer package with

Dylan Tintenfich 56 Dec 30, 2022
Mapomatic - Automatic mapping of compiled circuits to low-noise sub-graphs

mapomatic Automatic mapping of compiled circuits to low-noise sub-graphs Overvie

Qiskit Partners 27 Nov 06, 2022
Make your BSC transaction simple.

bsc_trade_history Make your BSC transaction simple. 中文ReadMe Background: inspired by debank ,Practice my hands on this small project Blog:Crypto-BscTr

foolisheddy 7 Jul 06, 2022
The open-source tool for building high-quality datasets and computer vision models

The open-source tool for building high-quality datasets and computer vision models. Website • Docs • Try it Now • Tutorials • Examples • Blog • Commun

Voxel51 2.4k Jan 07, 2023
Personal IMDB Graphs with Bokeh

Personal IMDB Graphs with Bokeh Do you like watching movies and also rate all of them in IMDB? Would you like to look at your IMDB stats based on your

2 Dec 15, 2021
Sentiment Analysis application created with Python and Dash, hosted at socialsentiment.net

Social Sentiment Dash Application Live-streaming sentiment analysis application created with Python and Dash, hosted at SocialSentiment.net. Dash Tuto

Harrison 456 Dec 25, 2022
Bioinformatics tool for exploring RNA-Protein interactions

Explore RNA-Protein interactions. RNPFind is a bioinformatics tool. It takes an RNA transcript as input and gives a list of RNA binding protein (RBP)

Nahin Khan 3 Jan 27, 2022
A site that displays up to date COVID-19 stats, powered by fastpages.

https://covid19dashboards.com This project was built with fastpages Background This project showcases how you can use fastpages to create a static das

GitHub 1.6k Jan 07, 2023
Generate a 3D Skyline in STL format and a OpenSCAD file from Gitlab contributions

Your Gitlab's contributions in a 3D Skyline gitlab-skyline is a Python command to generate a skyline figure from Gitlab contributions as Github did at

Félix Gómez 70 Dec 22, 2022
ICS-Visualizer is an interactive Industrial Control Systems (ICS) network graph that contains up-to-date ICS metadata

ICS-Visualizer is an interactive Industrial Control Systems (ICS) network graph that contains up-to-date ICS metadata (Name, company, port, user manua

QeeqBox 2 Dec 13, 2021
An easy to use burndown chart generator for GitHub Project Boards.

Burndown Chart for GitHub Projects An easy to use burndown chart generator for GitHub Project Boards. Table of Contents Features Installation Assumpti

Joseph Hale 15 Dec 28, 2022
metedraw is a project mainly for data visualization projects of Atmospheric Science, Marine Science, Environmental Science or other majors

It is mainly for data visualization projects of Atmospheric Science, Marine Science, Environmental Science or other majors.

Nephele 11 Jul 05, 2022
OpenStats is a library built on top of streamlit that extracts data from the Github API and shows the main KPIs

Open Stats Discover and share the KPIs of your OpenSource project. OpenStats is a library built on top of streamlit that extracts data from the Github

Pere Miquel Brull 4 Apr 03, 2022