pyfigure98 1.0.1

Package to make plots easily.

Pyfigure98

A python package to create plots and figures easily

If you have ever tried to make figures in python, you may have faced the same issues that annoyed me: a lot of copy/pasting between projects, countless hours spent on the internet searching for how to change the size of this or that thing again ? and always searching for specific things like axes formated specifficaly for angles, logarithms, times, ...

With this project, no more hurdles.

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Features

This project is based on matplotlib and contains many methods to facilitate the creation of complex figures. Here is a non-exaustive list of its functionalities:

• Hability to put multiple graphs on a single figure.
• Hability to have more than one y-axis.
• Hability to format the x-axis to measure time, angles and logarithmic scales.
• Hability to format de y-axis to measure angles and logarithmic scales.
• Automated and unified font sizes, defined in templates.
• And many more !

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Documentation

Installation

To install this package using pip, simply run

pip install pyfigure98

Usage

In order to use this package, create a new Figure object, and add a new figure to it:

    from pyfigure98 import Figure
    import numpy as np # Used later
    
    myNewFigure = Figure()
    myNewFigure.addFigure(template="default", rows=1, cols=1)

For more informations on how to use the template variable and how to modify templates, see section.

Next, you can add a new graph to your newly-created figure:

graphOfMyNewFigure = myNewFigure.addgraph("myGraph")

Modify the x-axis and y-axis by using these methods:

graphOfMyNewFigure.setAxisX(x_min=-10, x_max=10, label="x")
graphOfMyNewFigure.setAxisY(y_min=-5, y_max=10, label="f(x)")

Add a plot by using:

x = np.arange(-10, 10, 0.2)
y = (0.3*x)**3
graphOfMyNewFigure.plotStandard(x=x, y=y, label="example with f(x)=0.3*x^3", color="red")

Don't forget to add a title and a legend !

myNewFigure.setTitle("My figure")
graphOfMyNewFigure.setTitle("my graph")
graphOfMyNewFigure.setLegend()

Finally, save you figure:

myNewFigure.figSave('myfig')

After all these steps, you should obtain this:

This example is, of course, trivial. But it illustrates the basic principles of this package.

Of course, there are many more methods available !

Templates

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Examples

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