Function get_axes_properties

plotly/matplotlylib/mplexporter/utils.py:277–330

(ax)

def get_axes_properties(ax):
    props = {
        "axesbg": export_color(ax.patch.get_facecolor()),
        "axesbgalpha": ax.patch.get_alpha(),
        "bounds": ax.get_position().bounds,
        "dynamic": ax.get_navigate(),
        "axison": ax.axison,
        "frame_on": ax.get_frame_on(),
        "patch_visible": ax.patch.get_visible(),
        "axes": [get_axis_properties(ax.xaxis), get_axis_properties(ax.yaxis)],
    }

    for axname in ["x", "y"]:
        axis = getattr(ax, axname + "axis")
        domain = getattr(ax, "get_{0}lim".format(axname))()
        lim = domain
        if isinstance(axis.converter, matplotlib.dates.DateConverter):
            scale = "date"
            try:
                import pandas as pd
                from pandas.tseries.converter import PeriodConverter
            except ImportError:
                pd = None

            if pd is not None and isinstance(axis.converter, PeriodConverter):
                _dates = [pd.Period(ordinal=int(d), freq=axis.freq) for d in domain]
                domain = [
                    (d.year, d.month - 1, d.day, d.hour, d.minute, d.second, 0)
                    for d in _dates
                ]
            else:
                domain = [
                    (
                        d.year,
                        d.month - 1,
                        d.day,
                        d.hour,
                        d.minute,
                        d.second,
                        d.microsecond * 1e-3,
                    )
                    for d in matplotlib.dates.num2date(domain)
                ]
        else:
            scale = axis.get_scale()

        if scale not in ["date", "linear", "log"]:
            raise ValueError("Unknown axis scale: {0}".format(axis.get_scale()))

        props[axname + "scale"] = scale
        props[axname + "lim"] = lim
        props[axname + "domain"] = domain

    return props


def iter_all_children(obj, skipContainers=False):