Source code for imgui_datascience.imgui_fig

import numpy
import cv2
import matplotlib
from . import imgui_cv
from .static_vars import static_vars


@static_vars(fig_cache=dict())
def _fig_to_image(figure):
    statics = _fig_to_image.statics
    fig_id = id(figure)
    if fig_id not in statics.fig_cache:
        # draw the renderer
        figure.canvas.draw()
        # Get the RGBA buffer from the figure
        w, h = figure.canvas.get_width_height()
        buf = numpy.fromstring(figure.canvas.tostring_rgb(), dtype=numpy.uint8)
        buf.shape = (h, w, 3)
        img_rgb = cv2.cvtColor(buf, cv2.COLOR_RGB2BGR)
        matplotlib.pyplot.close(figure)
        statics.fig_cache[fig_id] = img_rgb
    return statics.fig_cache[fig_id]


def fig(figure, width=None, height=None, title=""):
    """
    imgui_fig.fig will display a matplotlib figure

    Note: this might fail on OSX, with the following message ::

        AttributeError: 'FigureCanvasMac' object has no attribute 'renderer'

    In this case, simply change the renderer to Tk, like this::

        import matplotlib
        matplotlib.use('TkAgg')  # this has to be done *before* importing pyplot
        import matplotlib.pyplot
    """
    image = _fig_to_image(figure)
    return imgui_cv.image(image, width=width, height=height, title=title)