How to use ipympl - 10 common examples
To help you get started, we’ve selected a few ipympl examples, based on popular ways it is used in public projects.
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glue-viz / glue-jupyter / glue_jupyter / matplotlib / base.py View on Github 
def __init__(self, session, parent=None, wcs=None, state=None):
self.figure = Figure()
self.canvas = Canvas(self.figure)
self.canvas.manager = FigureManager(self.canvas, 0)
self.figure, self.axes = init_mpl(self.figure, wcs=wcs)
# FIXME: The following is required for now for the tools to work
self.central_widget = self.figure
self._axes = self.axes
super(MatplotlibJupyterViewer, self).__init__(session, state=state)
MatplotlibViewerMixin.setup_callbacks(self)
self.css_widget = HTML(REMOVE_TITLE_CSS)
self.create_layout()def new_figure_manager_given_figure(num, figure):
"""
Create a new figure manager instance for the given figure.
"""
from matplotlib._pylab_helpers import Gcf
def closer(event):
Gcf.destroy(num)
canvas = Canvas(figure)
if 'nbagg.transparent' in set(rcParams.keys()) and rcParams['nbagg.transparent']:
figure.patch.set_alpha(0)
manager = FigureManager(canvas, num)
if is_interactive():
manager.show()
figure.canvas.draw_idle()
canvas.mpl_connect('close_event', closer)
return managerdef _get_widget(self, fig):
import matplotlib
old_backend = getattr(matplotlib.backends, 'backend', 'agg')
from ipympl.backend_nbagg import FigureManager, Canvas, is_interactive
from matplotlib._pylab_helpers import Gcf
matplotlib.use(old_backend)
def closer(event):
Gcf.destroy(0)
canvas = Canvas(fig)
fig.patch.set_alpha(0)
manager = FigureManager(canvas, 0)
if is_interactive():
fig.canvas.draw_idle()
canvas.mpl_connect('close_event', closer)
return managerdef _get_widget(self, fig):
import matplotlib
old_backend = getattr(matplotlib.backends, 'backend', 'agg')
from ipympl.backend_nbagg import FigureManager, Canvas, is_interactive
from matplotlib._pylab_helpers import Gcf
matplotlib.use(old_backend)
def closer(event):
Gcf.destroy(0)
canvas = Canvas(fig)
fig.patch.set_alpha(0)
manager = FigureManager(canvas, 0)
if is_interactive():
fig.canvas.draw_idle()
canvas.mpl_connect('close_event', closer)
return managerdef new_figure_manager_given_figure(num, figure):
"""
Create a new figure manager instance for the given figure.
"""
from matplotlib._pylab_helpers import Gcf
def closer(event):
Gcf.destroy(num)
canvas = Canvas(figure)
if 'nbagg.transparent' in set(rcParams.keys()) and rcParams['nbagg.transparent']:
figure.patch.set_alpha(0)
manager = FigureManager(canvas, num)
if is_interactive():
manager.show()
figure.canvas.draw_idle()
canvas.mpl_connect('close_event', closer)
return managerdef __init__(self, session, parent=None, wcs=None, state=None):
self.figure = Figure()
self.canvas = Canvas(self.figure)
self.canvas.manager = FigureManager(self.canvas, 0)
self.figure, self.axes = init_mpl(self.figure, wcs=wcs)
# FIXME: The following is required for now for the tools to work
self.central_widget = self.figure
self._axes = self.axes
super(MatplotlibJupyterViewer, self).__init__(session, state=state)
MatplotlibViewerMixin.setup_callbacks(self)
self.css_widget = HTML(REMOVE_TITLE_CSS)
self.create_layout()FigureManagerNbAgg as FigureManager)
from matplotlib.figure import Figure
from glue.viewers.matplotlib.mpl_axes import init_mpl
from glue.viewers.matplotlib.state import MatplotlibDataViewerState
from glue.viewers.matplotlib.viewer import MatplotlibViewerMixin
from glue.utils.matplotlib import DEFER_DRAW_BACKENDS
from glue_jupyter.view import IPyWidgetView
__all__ = ['MatplotlibJupyterViewer']
# Register the Qt backend with defer_draw
DEFER_DRAW_BACKENDS.append(Canvas)
# By default, the Jupyter Matplotlib widget has a big clunky title bar, so
# we apply custom CSS to remove it.
REMOVE_TITLE_CSS = "<style> .output_wrapper .ui-dialog-titlebar { display: none; } </style>"
class MatplotlibJupyterViewer(MatplotlibViewerMixin, IPyWidgetView):
_state_cls = MatplotlibDataViewerState
large_data_size = None
def __init__(self, session, parent=None, wcs=None, state=None):
self.figure = Figure()
self.canvas = Canvas(self.figure)def __init__(self, traffic: Traffic, projection=EuroPP()) -> None:
ipython = get_ipython()
ipython.magic("matplotlib ipympl")
from ipympl.backend_nbagg import FigureCanvasNbAgg, FigureManagerNbAgg
self.fig_map = Figure(figsize=(6, 6))
self.fig_time = Figure(figsize=(6, 4))
self.canvas_map = FigureCanvasNbAgg(self.fig_map)
self.canvas_time = FigureCanvasNbAgg(self.fig_time)
self.manager_map = FigureManagerNbAgg(self.canvas_map, 0)
self.manager_time = FigureManagerNbAgg(self.canvas_time, 0)
layout = {"width": "590px", "height": "800px", "border": "none"}
self.output = Output(layout=layout)
self._traffic = traffic
self.t_view = traffic.sort_values("timestamp")
self.trajectories: Dict[str, List[Artist]] = defaultdict(list)
self.create_map(projection)
self.projection = Dropdown(options=["EuroPP", "Lambert93", "Mercator"])
self.projection.observe(self.on_projection_change)def __init__(self, traffic: Traffic, projection=EuroPP()) -> None:
ipython = get_ipython()
ipython.magic("matplotlib ipympl")
from ipympl.backend_nbagg import FigureCanvasNbAgg, FigureManagerNbAgg
self.fig_map = Figure(figsize=(6, 6))
self.fig_time = Figure(figsize=(6, 4))
self.canvas_map = FigureCanvasNbAgg(self.fig_map)
self.canvas_time = FigureCanvasNbAgg(self.fig_time)
self.manager_map = FigureManagerNbAgg(self.canvas_map, 0)
self.manager_time = FigureManagerNbAgg(self.canvas_time, 0)
layout = {"width": "590px", "height": "800px", "border": "none"}
self.output = Output(layout=layout)
self._traffic = traffic
self.t_view = traffic.sort_values("timestamp")
self.trajectories: Dict[str, List[Artist]] = defaultdict(list)
self.create_map(projection)
self.projection = Dropdown(options=["EuroPP", "Lambert93", "Mercator"])
self.projection.observe(self.on_projection_change)def __init__(self, traffic: Traffic, projection=EuroPP()) -> None:
ipython = get_ipython()
ipython.magic("matplotlib ipympl")
from ipympl.backend_nbagg import FigureCanvasNbAgg, FigureManagerNbAgg
self.fig_map = Figure(figsize=(6, 6))
self.fig_time = Figure(figsize=(6, 4))
self.canvas_map = FigureCanvasNbAgg(self.fig_map)
self.canvas_time = FigureCanvasNbAgg(self.fig_time)
self.manager_map = FigureManagerNbAgg(self.canvas_map, 0)
self.manager_time = FigureManagerNbAgg(self.canvas_time, 0)
layout = {"width": "590px", "height": "800px", "border": "none"}
self.output = Output(layout=layout)
self._traffic = traffic
self.t_view = traffic.sort_values("timestamp")
self.trajectories: Dict[str, List[Artist]] = defaultdict(list)
self.create_map(projection)
self.projection = Dropdown(options=["EuroPP", "Lambert93", "Mercator"])
self.projection.observe(self.on_projection_change)
self.identifier_input = Text(description="Callsign/ID")
self.identifier_input.observe(self.on_id_input)
