How to use the termplotlib.subplot_grid function in termplotlib

def test_subplot2():
    grid = tpl.subplot_grid((1, 2), width=20, border_style="thick")
    grid[0, 0].aprint("Some text")
    grid[0, 1].aprint("Some more text\nand more")
    string = grid.get_string()
    assert (
        string
        == """┏━━━━━━━━━┳━━━━━━━━┓
┃         ┃        ┃
┃  Some   ┃  Some  ┃
┃         ┃  and   ┃
┃         ┃        ┃
┗━━━━━━━━━┻━━━━━━━━┛"""
    )
    return

def _generate_content(*args, **kwargs):
    grid = tpl.subplot_grid((2, 3), *args, **kwargs)
    grid[0, 0].aprint("Some text")
    grid[0, 1].aprint("Some more text\nand more")
    grid[0, 2].aprint("Some more text\nand more\neven more")
    grid[1, 0].aprint("Some more text\nand more\neven more")
    grid[1, 1].aprint("Some more text\nand more")
    grid[1, 2].aprint("Some text")
    return grid

def test_subplot_custom_border():
    grid = tpl.subplot_grid((1, 2), border_style="x", width=20)
    grid[0, 0].aprint("Some text")
    grid[0, 1].aprint("Some more text")
    string = grid.get_string()
    assert (
        string
        == """xxxxxxxxxxxxxxxxxxxx
x         x        x
x  Some   x  Some  x
x         x        x
xxxxxxxxxxxxxxxxxxxx"""
    )
    return

def test_subplot():
    grid = tpl.subplot_grid((1, 2), width=20)
    grid[0, 0].aprint("Some text")
    grid[0, 1].aprint("Some more text")
    string = grid.get_string()
    assert (
        string
        == """┌─────────┬────────┐
│         │        │
│  Some   │  Some  │
│         │        │
└─────────┴────────┘"""
    )
    return

def test_subplot_padding():
    grid = tpl.subplot_grid((1, 2), width=20, padding=2, border_style="double")
    grid[0, 0].aprint("Some text")
    grid[0, 1].aprint("Some more text\nand more")
    string = grid.get_string()
    assert (
        string
        == """╔═════════╦════════╗
║         ║        ║
║         ║        ║
║  Some   ║  Some  ║
║         ║  and   ║
║         ║        ║
║         ║        ║
╚═════════╩════════╝"""
    )
    return

def print_stats(mesh, extra_cols=None):
    extra_cols = [] if extra_cols is None else extra_cols

    angles = mesh.angles / numpy.pi * 180
    angles_hist, angles_bin_edges = numpy.histogram(
        angles, bins=numpy.linspace(0.0, 180.0, num=73, endpoint=True)
    )

    q = mesh.cell_quality
    q_hist, q_bin_edges = numpy.histogram(
        q, bins=numpy.linspace(0.0, 1.0, num=41, endpoint=True)
    )

    grid = tpl.subplot_grid(
        (1, 4 + len(extra_cols)), column_widths=None, border_style=None
    )
    grid[0, 0].hist(angles_hist, angles_bin_edges, grid=[24], bar_width=1, strip=True)
    grid[0, 1].aprint("min angle:     {:7.3f}".format(numpy.min(angles)))
    grid[0, 1].aprint("avg angle:     {:7.3f}".format(60))
    grid[0, 1].aprint("max angle:     {:7.3f}".format(numpy.max(angles)))
    grid[0, 1].aprint("std dev angle: {:7.3f}".format(numpy.std(angles)))
    grid[0, 2].hist(q_hist, q_bin_edges, bar_width=1, strip=True)
    grid[0, 3].aprint("min quality: {:5.3f}".format(numpy.min(q)))
    grid[0, 3].aprint("avg quality: {:5.3f}".format(numpy.average(q)))
    grid[0, 3].aprint("max quality: {:5.3f}".format(numpy.max(q)))

    for k, col in enumerate(extra_cols):
        grid[0, 4 + k].aprint(col)

    grid.show()