def mpl_plotly_chart(figure) -> V1EventChart:
try:
import plotly.tools
except ImportError:
logger.warning(PLOTLY_ERROR_MESSAGE)
return UNKNOWN
try:
import matplotlib
from matplotlib.figure import Figure
except ImportError:
logger.warning(MATPLOTLIB_ERROR_MESSAGE)
if module_type(figure, "matplotlib.figure.Figure"):
pass
else:
if figure == matplotlib.pyplot:
figure = figure.gcf()
elif not isinstance(figure, Figure):
if hasattr(figure, "figure"):
figure = figure.figure
# Some matplotlib objects have a figure function
if not isinstance(figure, Figure):
raise ValueError(
"Only matplotlib.pyplot or matplotlib.pyplot.Figure objects are accepted."
)
figure = plotly.tools.mpl_to_plotly(figure)
return plotly_chart(figure=figure)
def mpl_plotly_chart(figure) -> V1EventChart:
try:
import plotly.tools
except ImportError:
logger.warning(PLOTLY_ERROR_MESSAGE)
return UNKNOWN
try:
import matplotlib
from matplotlib.figure import Figure
except ImportError:
logger.warning(MATPLOTLIB_ERROR_MESSAGE)
if module_type(figure, "matplotlib.figure.Figure"):
pass
else:
if figure == matplotlib.pyplot:
figure = figure.gcf()
elif not isinstance(figure, Figure):
if hasattr(figure, "figure"):
figure = figure.figure
# Some matplotlib objects have a figure function
if not isinstance(figure, Figure):
raise ValueError(
"Only matplotlib.pyplot or matplotlib.pyplot.Figure objects are accepted."
)
# This code was taken from:
# https://github.com/matplotlib/matplotlib/pull/16772/files#diff-506cc6d736a0593e8bb820981b2c12ae # noqa
# Removed in https://github.com/matplotlib/matplotlib/pull/16772
from matplotlib.spines import Spine
def is_frame_like(self):
"""return True if directly on axes frame
This is useful for determining if a spine is the edge of an
old style MPL plot. If so, this function will return True.
"""
self._ensure_position_is_set()
position = self._position
if isinstance(position, str):
if position == "center":
position = ("axes", 0.5)
elif position == "zero":
position = ("data", 0)
if len(position) != 2:
raise ValueError("position should be 2-tuple")
position_type, amount = position
if position_type == "outward" and amount == 0:
return True
else:
return False
Spine.is_frame_like = is_frame_like
figure = plotly.tools.mpl_to_plotly(figure)
return plotly_chart(figure=figure)
def plotly_chart(figure) -> V1EventChart:
try:
import plotly.tools
except ImportError:
logger.warning(PLOTLY_ERROR_MESSAGE)
return UNKNOWN
if module_type(figure, "matplotlib.figure.Figure"):
figure = plotly.tools.mpl_to_plotly(figure)
else:
figure = plotly.tools.return_figure_from_figure_or_data(
figure, validate_figure=True)
return V1EventChart(kind=V1EventChartKind.PLOTLY, figure=figure)
