pygraphblas API Reference

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pygraphblas.gviz

Helper functions for drawing graphs and matrices with graphviz in doctests and Jupyter notebooks.

>>> from pygraphblas import *
>>> M = Matrix.random(UINT8, 4, 4, 15, seed=8)
>>> g = draw_graph(M, weights=False,
...     filename='docs/imgs/Matrix_from_lists3')

Matrix_from_lists3.png

>>> g = draw_matrix(M, scale=50,
...     filename='docs/imgs/Matrix_from_lists4')

Matrix_from_lists3.png

>>> V = Vector.from_lists([0, 2], [3.14, 1.2])
>>> g = draw_vector(V, scale=50,
...     filename='docs/imgs/Vector_from_lists_1')

Vector_from_lists_1

>>> g = draw_matrix_op(M, '@', M, (M@M), scale=50,
...     filename='docs/imgs/mxm1')

mxm1

Expand source code
"""Helper functions for drawing graphs and matrices with graphviz in
doctests and Jupyter notebooks.

>>> from pygraphblas import *
>>> M = Matrix.random(UINT8, 4, 4, 15, seed=8)

>>> g = draw_graph(M, weights=False,
...     filename='docs/imgs/Matrix_from_lists3')

![Matrix_from_lists3.png](../imgs/Matrix_from_lists3.png)

>>> g = draw_matrix(M, scale=50,
...     filename='docs/imgs/Matrix_from_lists4')

![Matrix_from_lists3.png](../imgs/Matrix_from_lists4.png)

>>> V = Vector.from_lists([0, 2], [3.14, 1.2])
>>> g = draw_vector(V, scale=50,
...     filename='docs/imgs/Vector_from_lists_1')

![Vector_from_lists_1](../imgs/Vector_from_lists_1.png)

>>> g = draw_matrix_op(M, '@', M, (M@M), scale=50,
...     filename='docs/imgs/mxm1')

![mxm1](../imgs/mxm1.png)
"""
import operator
from math import log
from itertools import accumulate
from graphviz import Graph, Digraph, Source
from PIL import Image, ImageDraw, ImageFont
from PIL import Image, ImageDraw
from json import dumps
from pathlib import Path
import matplotlib.pyplot as plt
from matplotlib.colors import rgb2hex
from collections import OrderedDict

__all__ = [
    "draw",
    "draw_graph",
    "draw_matrix",
    "draw_vector",
    "draw_layers",
    "draw_graph_op",
    "draw_matrix_op",
    "draw_matrix_layers",
    "draw_cy",
    "draw_vis",
]


def _str(s, label_width):  # pragma: nocover
    return str(s)[:label_width]


def draw_vector_dot(V, name="", rankdir="LR", ioff=0, joff=0):  # pragma: nocover
    g = Digraph(name)
    g.attr(rankdir=rankdir, ranksep="1")
    for i, v in V:
        g.node(str(i + ioff), label="%s:%s" % (str(i), str(v)))
    return g


def draw_graph(
    M,
    g=None,
    name="",
    rankdir="LR",
    directed=True,
    weights=True,
    concentrate=True,
    labels=True,
    label_vector=None,
    label_width=None,
    label_cmap=None,
    size_vector=None,
    size_scale=1.0,
    min_size=0.1,
    log_scale=False,
    ioff=0,
    joff=0,
    filename=None,
    graph_attr=None,
    node_attr=None,
    edge_attr=None,
    edge_cmap=None,
    weight_prefix="",
):  # pragma: nocover
    if g is None:
        if directed:
            g = Digraph(name)
        else:
            g = Graph(name)
    g.attr(
        rankdir=rankdir, overlap="false", concentrate="true" if concentrate else "false"
    )
    if graph_attr:
        g.attr(**graph_attr)
    if node_attr:
        g.attr("node", **node_attr)
    if edge_attr:
        g.attr("edge", **edge_attr)

    if edge_cmap is not None:
        edge_cmap = plt.get_cmap(edge_cmap)

    if label_cmap is not None:
        label_cmap = plt.get_cmap(label_cmap)

    if isinstance(label_vector, list):
        labeler = lambda v, i: v[i] if labels else ""
    else:
        labeler = lambda v, i: v.get(i) if labels else ""

    for i, j, v in M:
        ilabel = (
            _str(labeler(label_vector, i), label_width)
            if label_vector
            else str(i)
            if labels
            else ""
        )
        jlabel = (
            _str(labeler(label_vector, j), label_width)
            if label_vector
            else str(j)
            if labels
            else ""
        )
        vlabel = weight_prefix + _str(v, label_width) if weights else None

        if size_vector:
            scale = max(size_vector[i] * size_scale, min_size)
            if log_scale:
                scale = max(log(scale), min_size)
            size = _str(scale, label_width)
        else:
            size = "0.5"

        args = {"width": size, "fixedsize": "true"}
        if node_attr:
            args.update(node_attr)
        if labels:
            args["label"] = ilabel
        if label_cmap and label_vector:
            args["color"] = rgb2hex(label_cmap(float(labeler(label_vector, i))))
        inode = g.node(str(i + ioff), **args)

        args = {"width": size, "fixedsize": "true"}
        if node_attr:
            args.update(node_attr)
        if labels:
            args["label"] = jlabel
        if label_cmap:
            args["color"] = rgb2hex(label_cmap(float(labeler(label_vector, j))))
        jnode = g.node(str(j + joff), **args)
        w = str(v)

        args = {}
        if edge_attr:
            args.update(edge_attr)
        if labels:
            args["label"] = vlabel
            args["tooltip"] = vlabel
        if edge_cmap:
            args["color"] = rgb2hex(edge_cmap(float(v)))
        if not weights:
            w = None
        g.edge(str(i + ioff), str(j + joff), weight=w, **args)
    if filename is not None:
        g.render(filename, format="png")
    return g


def draw_layers(M, name="", rankdir="LR", label_width=None):  # pragma: nocover
    g = Digraph(name)
    g.attr(rankdir=rankdir, ranksep="1")
    for l, m in enumerate(M):
        with g.subgraph() as s:
            s.attr(rank="same", rankdir="TB")
            for i in range(m.nrows):
                si = (l * m.nrows) + i
                s.node(str(si), label=_str(si, label_width), width="0.5")
                if i < m.nrows - 1:
                    ni = si + 1
                    s.edge(str(si), str(ni), style="invis", minlen="0", weight="1000")
            g.edge(
                str(si - m.nrows + 1),
                str(si + 1),
                weight="10000000",
                style="invis",
                minlen="0",
            )

    with g.subgraph() as s:
        s.attr(rank="same", rankdir="LR")
        for j in range(M[-1].nrows):
            sj = (len(M) * m.nrows) + j
            s.node(str(sj), label=_str(j, label_width), width="0.5")
            if j < M[-1].nrows - 1:
                nj = sj + 1
                s.edge(str(sj), str(nj), style="invis")

    for l, m in enumerate(M):
        for i, j, _ in m:
            si = (l * m.nrows) + i
            sj = ((l + 1) * m.nrows) + j
            g.edge(str(si), str(sj))
    return g


def draw(obj, name="", **kws):  # pragma: nocover
    from pygraphblas import Matrix, Vector

    if isinstance(obj, Matrix):
        return draw_graph(obj, name, **kws)
    if isinstance(obj, Vector):
        return draw_vector_dot(obj, name, **kws)


def draw_graph_op(left, op, right, result, **kwargs):  # pragma: nocover
    from pygraphblas import Matrix, Vector

    ioff = 0
    joff = 0

    def draw(obj, name="", **kws):
        nonlocal ioff, joff
        if isinstance(obj, Matrix):
            ioff += obj.nrows
            joff += obj.ncols
            return draw_graph(obj, name=name, ioff=ioff, joff=joff)
        if isinstance(obj, Vector):
            ioff += obj.size
            joff += obj.size
            return draw_vector_dot(obj, name=name, ioff=ioff, joff=joff)

    g = Digraph()
    g.subgraph(draw(left, name="cluster_left"))
    g.node(op, width="0.5")
    g.subgraph(draw(right, name="cluster_right"))
    g.node("=", width="0.5")
    g.subgraph(draw(result, name="cluster_result"))
    return g


def draw_matrix(
    M,
    scale=10,
    axes=True,
    axes_labels=False,
    labels=True,
    mode=None,
    cmap="viridis",
    filename=None,
    column=True,
    font_path=None,
):  # pragma: nocover
    from pygraphblas import BOOL, FP32, FP64, Matrix, Vector

    font = None
    if font_path:
        font = ImageFont.truetype(
            str(font_path / "FantasqueSansMono-Bold.ttf"), int(scale * 0.5)
        )
    else:
        font = ImageFont.load_default()

    if isinstance(M, Vector):
        return draw_vector(
            M,
            scale=scale,
            axes=axes,
            axes_labels=axes_labels,
            labels=labels,
            mode=mode,
            cmap=cmap,
            filename=filename,
            column=column,
        )

    if mode is None:
        mode = "RGB"

    if cmap is not None:
        cmap = plt.get_cmap(cmap)

    sx = ((M.ncols + 1) * scale) + 1
    sy = ((M.nrows + 1) * scale) + 1
    im = Image.new(mode, (sx, sy), color="white")
    d = ImageDraw.Draw(im)
    for i, j, v in M:
        y = ((i + 1) * scale) + scale / 2
        x = ((j + 1) * scale) + scale / 2
        offset = int(scale / 2)
        if M.type is BOOL:
            d.rectangle(
                (x - offset, y - offset, x + scale - offset, y + scale - offset),
                fill=rgb2hex(cmap(1)) if v else rgb2hex(cmap(0)),
                outline="black",
            )
            v = "t" if v else "f"
        elif M.type in [FP32, FP64] and cmap:
            d.rectangle(
                (x - offset, y - offset, x + scale - offset, y + scale - offset),
                fill=rgb2hex(cmap(v)),
                outline="black",
            )
        else:
            d.rectangle(
                (x - offset, y - offset, x + scale - offset, y + scale - offset),
                fill=rgb2hex(cmap(int(v) % 255)),
                outline="black",
            )
        if labels:
            d.text(
                ((x - offset) + (scale / 4), (y - offset) + (scale / 10)),
                str(v)[:4],
                fill="black",
                font=font,
            )
    if axes:
        d.line((0, scale, im.size[0], scale), fill="black")
        d.line((scale, 0, scale, im.size[1]), fill="black")
    if axes_labels:
        for i in range(M.ncols):
            d.text(
                (((i + 1) * scale) + scale / 5, scale / 5),
                str(i),
                fill="black",
                font=font,
            )
        for j in range(M.nrows):
            d.text(
                (scale / 5, ((j + 1) * scale) + scale / 5),
                str(j),
                fill="black",
                font=font,
            )
    if filename is not None:
        im.save(filename + ".png", "PNG")
    return im


def draw_vector(V, column=True, *args, **kwargs):  # pragma: nocover
    from pygraphblas import Matrix

    if column:
        A = Matrix.sparse(V.type, V.size, 1)
        A[:, 0] = V
    else:
        A = Matrix.sparse(V.type, 1, V.size)
        A[0, :] = V

    return draw_matrix(A, *args, **kwargs)


def draw_matrix_op(
    left,
    op,
    right,
    result,
    font_path=None,
    filename=None,
    eqstr="=",
    **kwargs,
):  # pragma: nocover
    scale = kwargs["scale"]
    font = None
    if font_path is not None:
        font = ImageFont.truetype(
            str(font_path / "FantasqueSansMono-Bold.ttf"), int(scale * 0.5)
        )
    else:
        font = ImageFont.load_default()

    kwargs["font_path"] = font_path
    left = draw_matrix(left, **kwargs)
    right = draw_matrix(right, **kwargs)
    result = draw_matrix(result, **kwargs)
    op_width = font.getsize(op)[0]
    spacer = int(scale * 2)
    width = left.size[0] + op_width + spacer + right.size[0] + spacer + result.size[0]
    height = max(op_width + spacer, left.size[1], right.size[1], result.size[1])
    im = Image.new(left.mode, (width, height), color="white")
    d = ImageDraw.Draw(im)
    im.paste(left, (0, 0))
    d.text((left.size[0] + int(spacer / 2), height / 2), op, fill="black", font=font)
    im.paste(right, (left.size[0] + op_width + spacer, 0))
    d.text(
        (left.size[0] + right.size[0] + op_width + (spacer * 1.5), height / 2),
        eqstr,
        fill="black",
        font=font,
    )
    im.paste(result, (left.size[0] + right.size[0] + op_width + spacer + spacer, 0))
    if filename is not None:
        im.save(filename + ".png", "PNG")
    return im


def draw_matrix_layers(layers, **kwargs):  # pragma: nocover
    filename = kwargs.pop("filename", None)
    imgs = [draw_matrix(i, **kwargs) for i in layers]
    widths = [0] + list(accumulate((i.size[0] for i in imgs), operator.add))
    width = sum(widths)
    height = max(i.size[1] for i in imgs)
    im = Image.new(imgs[0].mode, (width, height), color="white")
    for c, i in enumerate(imgs):
        im.paste(i, (widths[c], 0))
    if filename is not None:
        im.save(filename + ".png", "PNG")
    return im


def cy_matrix(M, directed=True):  # pragma: nocover
    nodes = OrderedDict()
    edges = []

    for i, j, v in sorted(M):
        edges.append(
            {"data": {"id": f"{i}:{j}:{v}", "source": str(i), "target": str(j)}}
        )
        if i not in nodes:
            nodes[i] = {"data": {"id": str(i)}}
        if j not in nodes:
            nodes[j] = {"data": {"id": str(j)}}

    return {
        "directed": directed,
        "elements": {"nodes": list(nodes.values()), "edges": edges},
    }


my_style = [
    {
        "selector": "node",
        "style": {
            "background-color": "blue",
            "label": "data(id)",
            "width": 3,
            "height": 3,
            "shape": "circle",
            "color": "#black",
            "font-weight": 3,
            "text-halign": "right",
            "text-valign": "bottom",
            "font-size": 3,
        },
    },
    {
        "selector": "edge",
        "style": {
            "width": 0.1,
            "opacity": 1,
            "line-color": "green",
        },
    },
]


def draw_cy(M, visual_style=my_style, layout_name="cose"):  # pragma: nocover
    from cyjupyter import Cytoscape

    c = Cytoscape(data=cy_matrix(M), visual_style=visual_style, layout_name=layout_name)
    return c


def draw_vis(M, **kwargs):  # pragma: nocover
    from pyvis import network as net

    N = net.Network(**kwargs)
    for i, j, v in M:
        N.add_node(i, i, title=str(i))
        N.add_node(j, j, title=str(j))
        N.add_edge(i, j, value=str(v))
    return N

Functions

def draw(obj, name='', **kws)
Expand source code
def draw(obj, name="", **kws):  # pragma: nocover
    from pygraphblas import Matrix, Vector

    if isinstance(obj, Matrix):
        return draw_graph(obj, name, **kws)
    if isinstance(obj, Vector):
        return draw_vector_dot(obj, name, **kws)
def draw_graph(M, g=None, name='', rankdir='LR', directed=True, weights=True, concentrate=True, labels=True, label_vector=None, label_width=None, label_cmap=None, size_vector=None, size_scale=1.0, min_size=0.1, log_scale=False, ioff=0, joff=0, filename=None, graph_attr=None, node_attr=None, edge_attr=None, edge_cmap=None, weight_prefix='')
Expand source code
def draw_graph(
    M,
    g=None,
    name="",
    rankdir="LR",
    directed=True,
    weights=True,
    concentrate=True,
    labels=True,
    label_vector=None,
    label_width=None,
    label_cmap=None,
    size_vector=None,
    size_scale=1.0,
    min_size=0.1,
    log_scale=False,
    ioff=0,
    joff=0,
    filename=None,
    graph_attr=None,
    node_attr=None,
    edge_attr=None,
    edge_cmap=None,
    weight_prefix="",
):  # pragma: nocover
    if g is None:
        if directed:
            g = Digraph(name)
        else:
            g = Graph(name)
    g.attr(
        rankdir=rankdir, overlap="false", concentrate="true" if concentrate else "false"
    )
    if graph_attr:
        g.attr(**graph_attr)
    if node_attr:
        g.attr("node", **node_attr)
    if edge_attr:
        g.attr("edge", **edge_attr)

    if edge_cmap is not None:
        edge_cmap = plt.get_cmap(edge_cmap)

    if label_cmap is not None:
        label_cmap = plt.get_cmap(label_cmap)

    if isinstance(label_vector, list):
        labeler = lambda v, i: v[i] if labels else ""
    else:
        labeler = lambda v, i: v.get(i) if labels else ""

    for i, j, v in M:
        ilabel = (
            _str(labeler(label_vector, i), label_width)
            if label_vector
            else str(i)
            if labels
            else ""
        )
        jlabel = (
            _str(labeler(label_vector, j), label_width)
            if label_vector
            else str(j)
            if labels
            else ""
        )
        vlabel = weight_prefix + _str(v, label_width) if weights else None

        if size_vector:
            scale = max(size_vector[i] * size_scale, min_size)
            if log_scale:
                scale = max(log(scale), min_size)
            size = _str(scale, label_width)
        else:
            size = "0.5"

        args = {"width": size, "fixedsize": "true"}
        if node_attr:
            args.update(node_attr)
        if labels:
            args["label"] = ilabel
        if label_cmap and label_vector:
            args["color"] = rgb2hex(label_cmap(float(labeler(label_vector, i))))
        inode = g.node(str(i + ioff), **args)

        args = {"width": size, "fixedsize": "true"}
        if node_attr:
            args.update(node_attr)
        if labels:
            args["label"] = jlabel
        if label_cmap:
            args["color"] = rgb2hex(label_cmap(float(labeler(label_vector, j))))
        jnode = g.node(str(j + joff), **args)
        w = str(v)

        args = {}
        if edge_attr:
            args.update(edge_attr)
        if labels:
            args["label"] = vlabel
            args["tooltip"] = vlabel
        if edge_cmap:
            args["color"] = rgb2hex(edge_cmap(float(v)))
        if not weights:
            w = None
        g.edge(str(i + ioff), str(j + joff), weight=w, **args)
    if filename is not None:
        g.render(filename, format="png")
    return g
def draw_matrix(M, scale=10, axes=True, axes_labels=False, labels=True, mode=None, cmap='viridis', filename=None, column=True, font_path=None)
Expand source code
def draw_matrix(
    M,
    scale=10,
    axes=True,
    axes_labels=False,
    labels=True,
    mode=None,
    cmap="viridis",
    filename=None,
    column=True,
    font_path=None,
):  # pragma: nocover
    from pygraphblas import BOOL, FP32, FP64, Matrix, Vector

    font = None
    if font_path:
        font = ImageFont.truetype(
            str(font_path / "FantasqueSansMono-Bold.ttf"), int(scale * 0.5)
        )
    else:
        font = ImageFont.load_default()

    if isinstance(M, Vector):
        return draw_vector(
            M,
            scale=scale,
            axes=axes,
            axes_labels=axes_labels,
            labels=labels,
            mode=mode,
            cmap=cmap,
            filename=filename,
            column=column,
        )

    if mode is None:
        mode = "RGB"

    if cmap is not None:
        cmap = plt.get_cmap(cmap)

    sx = ((M.ncols + 1) * scale) + 1
    sy = ((M.nrows + 1) * scale) + 1
    im = Image.new(mode, (sx, sy), color="white")
    d = ImageDraw.Draw(im)
    for i, j, v in M:
        y = ((i + 1) * scale) + scale / 2
        x = ((j + 1) * scale) + scale / 2
        offset = int(scale / 2)
        if M.type is BOOL:
            d.rectangle(
                (x - offset, y - offset, x + scale - offset, y + scale - offset),
                fill=rgb2hex(cmap(1)) if v else rgb2hex(cmap(0)),
                outline="black",
            )
            v = "t" if v else "f"
        elif M.type in [FP32, FP64] and cmap:
            d.rectangle(
                (x - offset, y - offset, x + scale - offset, y + scale - offset),
                fill=rgb2hex(cmap(v)),
                outline="black",
            )
        else:
            d.rectangle(
                (x - offset, y - offset, x + scale - offset, y + scale - offset),
                fill=rgb2hex(cmap(int(v) % 255)),
                outline="black",
            )
        if labels:
            d.text(
                ((x - offset) + (scale / 4), (y - offset) + (scale / 10)),
                str(v)[:4],
                fill="black",
                font=font,
            )
    if axes:
        d.line((0, scale, im.size[0], scale), fill="black")
        d.line((scale, 0, scale, im.size[1]), fill="black")
    if axes_labels:
        for i in range(M.ncols):
            d.text(
                (((i + 1) * scale) + scale / 5, scale / 5),
                str(i),
                fill="black",
                font=font,
            )
        for j in range(M.nrows):
            d.text(
                (scale / 5, ((j + 1) * scale) + scale / 5),
                str(j),
                fill="black",
                font=font,
            )
    if filename is not None:
        im.save(filename + ".png", "PNG")
    return im
def draw_vector(V, column=True, *args, **kwargs)
Expand source code
def draw_vector(V, column=True, *args, **kwargs):  # pragma: nocover
    from pygraphblas import Matrix

    if column:
        A = Matrix.sparse(V.type, V.size, 1)
        A[:, 0] = V
    else:
        A = Matrix.sparse(V.type, 1, V.size)
        A[0, :] = V

    return draw_matrix(A, *args, **kwargs)
def draw_layers(M, name='', rankdir='LR', label_width=None)
Expand source code
def draw_layers(M, name="", rankdir="LR", label_width=None):  # pragma: nocover
    g = Digraph(name)
    g.attr(rankdir=rankdir, ranksep="1")
    for l, m in enumerate(M):
        with g.subgraph() as s:
            s.attr(rank="same", rankdir="TB")
            for i in range(m.nrows):
                si = (l * m.nrows) + i
                s.node(str(si), label=_str(si, label_width), width="0.5")
                if i < m.nrows - 1:
                    ni = si + 1
                    s.edge(str(si), str(ni), style="invis", minlen="0", weight="1000")
            g.edge(
                str(si - m.nrows + 1),
                str(si + 1),
                weight="10000000",
                style="invis",
                minlen="0",
            )

    with g.subgraph() as s:
        s.attr(rank="same", rankdir="LR")
        for j in range(M[-1].nrows):
            sj = (len(M) * m.nrows) + j
            s.node(str(sj), label=_str(j, label_width), width="0.5")
            if j < M[-1].nrows - 1:
                nj = sj + 1
                s.edge(str(sj), str(nj), style="invis")

    for l, m in enumerate(M):
        for i, j, _ in m:
            si = (l * m.nrows) + i
            sj = ((l + 1) * m.nrows) + j
            g.edge(str(si), str(sj))
    return g
def draw_graph_op(left, op, right, result, **kwargs)
Expand source code
def draw_graph_op(left, op, right, result, **kwargs):  # pragma: nocover
    from pygraphblas import Matrix, Vector

    ioff = 0
    joff = 0

    def draw(obj, name="", **kws):
        nonlocal ioff, joff
        if isinstance(obj, Matrix):
            ioff += obj.nrows
            joff += obj.ncols
            return draw_graph(obj, name=name, ioff=ioff, joff=joff)
        if isinstance(obj, Vector):
            ioff += obj.size
            joff += obj.size
            return draw_vector_dot(obj, name=name, ioff=ioff, joff=joff)

    g = Digraph()
    g.subgraph(draw(left, name="cluster_left"))
    g.node(op, width="0.5")
    g.subgraph(draw(right, name="cluster_right"))
    g.node("=", width="0.5")
    g.subgraph(draw(result, name="cluster_result"))
    return g
def draw_matrix_op(left, op, right, result, font_path=None, filename=None, eqstr='=', **kwargs)
Expand source code
def draw_matrix_op(
    left,
    op,
    right,
    result,
    font_path=None,
    filename=None,
    eqstr="=",
    **kwargs,
):  # pragma: nocover
    scale = kwargs["scale"]
    font = None
    if font_path is not None:
        font = ImageFont.truetype(
            str(font_path / "FantasqueSansMono-Bold.ttf"), int(scale * 0.5)
        )
    else:
        font = ImageFont.load_default()

    kwargs["font_path"] = font_path
    left = draw_matrix(left, **kwargs)
    right = draw_matrix(right, **kwargs)
    result = draw_matrix(result, **kwargs)
    op_width = font.getsize(op)[0]
    spacer = int(scale * 2)
    width = left.size[0] + op_width + spacer + right.size[0] + spacer + result.size[0]
    height = max(op_width + spacer, left.size[1], right.size[1], result.size[1])
    im = Image.new(left.mode, (width, height), color="white")
    d = ImageDraw.Draw(im)
    im.paste(left, (0, 0))
    d.text((left.size[0] + int(spacer / 2), height / 2), op, fill="black", font=font)
    im.paste(right, (left.size[0] + op_width + spacer, 0))
    d.text(
        (left.size[0] + right.size[0] + op_width + (spacer * 1.5), height / 2),
        eqstr,
        fill="black",
        font=font,
    )
    im.paste(result, (left.size[0] + right.size[0] + op_width + spacer + spacer, 0))
    if filename is not None:
        im.save(filename + ".png", "PNG")
    return im
def draw_matrix_layers(layers, **kwargs)
Expand source code
def draw_matrix_layers(layers, **kwargs):  # pragma: nocover
    filename = kwargs.pop("filename", None)
    imgs = [draw_matrix(i, **kwargs) for i in layers]
    widths = [0] + list(accumulate((i.size[0] for i in imgs), operator.add))
    width = sum(widths)
    height = max(i.size[1] for i in imgs)
    im = Image.new(imgs[0].mode, (width, height), color="white")
    for c, i in enumerate(imgs):
        im.paste(i, (widths[c], 0))
    if filename is not None:
        im.save(filename + ".png", "PNG")
    return im
def draw_cy(M, visual_style=[{'selector': 'node', 'style': {'background-color': 'blue', 'label': 'data(id)', 'width': 3, 'height': 3, 'shape': 'circle', 'color': '#black', 'font-weight': 3, 'text-halign': 'right', 'text-valign': 'bottom', 'font-size': 3}}, {'selector': 'edge', 'style': {'width': 0.1, 'opacity': 1, 'line-color': 'green'}}], layout_name='cose')
Expand source code
def draw_cy(M, visual_style=my_style, layout_name="cose"):  # pragma: nocover
    from cyjupyter import Cytoscape

    c = Cytoscape(data=cy_matrix(M), visual_style=visual_style, layout_name=layout_name)
    return c
def draw_vis(M, **kwargs)
Expand source code
def draw_vis(M, **kwargs):  # pragma: nocover
    from pyvis import network as net

    N = net.Network(**kwargs)
    for i, j, v in M:
        N.add_node(i, i, title=str(i))
        N.add_node(j, j, title=str(j))
        N.add_edge(i, j, value=str(v))
    return N