Figctx - Figure Context for QuiME

This Package helps you to conveniently make figures with QuiME template

How to install

pip install figctx

Example1 (single figure context)

import numpy as np
import figctx as ctx

testdata = np.random.rand(2,100)

with ctx.single(80, 60, './example.png') as (fig,ax):
        
    ax.scatter(testdata[0], testdata[1], label='data')
    ax.set_title('title')

Example2 (multi figure context)

import numpy as np
import figctx as ctx

testdata = np.random.rand(2,100)
testdata[0] = np.sort(testdata[0])

with ctx.multi(70, 150, 2, 1, [1], [1,2], './example2.png') as (fig, subfig):

    c = subfig[0]
    
    ax = c.subplots(1,1)
    ax.tick_params(
            direction='in',
            width=1,
            length=3,
            pad=2
        )
    ax.plot(testdata[0], 2*testdata[1]+1, label='Test1')

    temp = np.random.rand(100)
    ax.plot(testdata[0], temp, label='Test2')

    temp = np.random.rand(100)
    ax.plot(testdata[0], 1.5*temp+0.5, label='Test3')

    ax.legend()
    ax.set_title('ax title1')

    ax.set_xlabel('x')
    ax.set_ylabel('y')

    c.suptitle('fig suptitle1')

    c = subfig[1]

    axes = c.subplots(1,2)
    for ax in axes:
        ax.tick_params(
            direction='in',
            width=1,
            length=3,
            pad=2
        )
    
    ax = axes[0]

    ax.plot(testdata[1], testdata[0])
    ax.set_title('ax title2')

    ax = axes[1]

    ax.scatter(testdata[0], 0.5*testdata[1], label='Test3', color='black')
    ax.scatter(2*testdata[1], 0.5*testdata[0], label='Test4')
    ax.set_title('ax title3')

    ax.legend()

    c.suptitle('fig suptitle2')

    fig.suptitle('Suptitle')