def export_image(self, filename, width, height, dpi=100):
width_inch = width / dpi
height_inch = height / dpi
figure = Figure(figsize=(width_inch, height_inch), dpi=dpi)
visualizer = MapsVisualizer(self._controller.get_data(), figure)
FigureCanvas(figure)
visualizer.to_file(filename, self._controller.get_config(), dpi=dpi)
def __init__(self, controller, parent=None, plotting_info_viewer=None):
super(MatplotlibPlotting,
self).__init__(controller,
plotting_info_viewer=plotting_info_viewer)
self._controller.new_data.connect(self.set_new_data)
self._controller.new_config.connect(self.set_new_config)
self._auto_render = True
self.figure = Figure()
self.visualizer = MapsVisualizer(self._controller.get_data(),
self.figure)
self._axes_data = self.visualizer.render(self._controller.get_config())
self.canvas = FigureCanvas(self.figure)
self.canvas.setSizePolicy(QtWidgets.QSizePolicy.Expanding,
QtWidgets.QSizePolicy.Expanding)
self.canvas.updateGeometry()
layout = QVBoxLayout()
layout.setSpacing(0)
layout.setContentsMargins(0, 0, 0, 0)
layout.addWidget(self.canvas)
self.setLayout(layout)
self.setParent(parent)
self.setFocusPolicy(QtCore.Qt.StrongFocus)
self.setFocus()
self._redraw_timer = QTimer()
self._redraw_timer.timeout.connect(self._timer_event)
self._redraw_timer.timeout.connect(self._redraw_timer.stop)
self._mouse_interaction = _MouseInteraction(self.figure,
self._plotting_info_viewer)
self._mouse_interaction.update_axes_data(self._axes_data)
self._previous_config = None
self.setMinimumWidth(100)
def write_view_maps_figure(data,
output_filename,
config=None,
width=None,
height=None,
dpi=None,
figure_options=None,
savefig_settings=None):
"""Saves the view maps figure to a file.
Args:
data (str, dict, :class:`~mdt.visualization.maps.base.DataInfo`, list, tuple): the data we are showing,
either a dictionary with result maps, a string with a path name, a DataInfo object or a list
with filenames and or directories.
config (str, dict, :class:`~mdt.visualization.maps.base import MapPlotConfig`): either a Yaml string or a
dictionary with configuration settings or a ValidatedMapPlotConfig object to use directly
output_filename (str): the output filename
width (int): the width of the figure, if set it takes precedence over the value in figure_options
height (int): the height of the figure, if set it takes precedence over the value in figure_options
dpi (int): the dpi of the figure, if set it takes precedence over the value in figure_options
figure_options (dict): additional figure options for the matplotlib Figure, supports the
same settings as :func:`view_maps`, that is, if the arguments 'width' and 'height' are not set directly
in this function we can also use those in the figure_options
savefig_settings (dict): extra output options for the savefig command from matplotlib, if dpi is not given, we
use the dpi from the figure_options.
"""
from mdt.gui.maps_visualizer.main import start_gui
from mdt.visualization.maps.base import MapPlotConfig
from mdt.visualization.maps.matplotlib_renderer import MapsVisualizer
import matplotlib.pyplot as plt
from mdt.visualization.maps.base import SimpleDataInfo
if isinstance(data, string_types):
data = SimpleDataInfo.from_paths([data])
elif isinstance(data, dict):
data = SimpleDataInfo(data)
elif isinstance(data, collections.Sequence):
data = SimpleDataInfo.from_paths(data)
elif data is None:
data = SimpleDataInfo({})
if config is None:
config = MapPlotConfig()
elif isinstance(config, string_types):
if config.strip():
config = MapPlotConfig.from_yaml(config)
else:
config = MapPlotConfig()
elif isinstance(config, dict):
config = MapPlotConfig.from_dict(config)
figure_options = figure_options or {}
if dpi is not None:
figure_options['dpi'] = dpi
else:
figure_options['dpi'] = figure_options.get('dpi', 80)
if height is not None and width is not None:
figure_options['figsize'] = (width / figure_options['dpi'],
height / figure_options['dpi'])
elif height is not None and width is None:
width = figure_options.get('width', 800)
figure_options['figsize'] = (width / figure_options['dpi'],
height / figure_options['dpi'])
elif width is not None and height is None:
height = figure_options.get('height', 640)
figure_options['figsize'] = (width / figure_options['dpi'],
height / figure_options['dpi'])
elif 'figsize' in figure_options:
pass
else:
width = figure_options.get('width', 800)
height = figure_options.get('height', 640)
figure_options['figsize'] = (width / figure_options['dpi'],
height / figure_options['dpi'])
if 'width' in figure_options:
del figure_options['width']
if 'height' in figure_options:
del figure_options['height']
figure = plt.figure(**figure_options)
viz = MapsVisualizer(data, figure)
savefig_settings = savefig_settings or {}
savefig_settings['dpi'] = savefig_settings.get('dpi',
figure_options['dpi'])
viz.to_file(output_filename, config, **savefig_settings)
def view_maps(data,
config=None,
figure_options=None,
block=True,
show_maximized=False,
use_qt=True,
window_title=None):
"""View a number of maps using the MDT Maps Visualizer.
Args:
data (str, dict, :class:`~mdt.visualization.maps.base.DataInfo`, list, tuple): the data we are showing,
either a dictionary with result maps, a string with a path name, a DataInfo object or a list
with filenames and/or directories.
config (str, dict, :class:`~mdt.visualization.maps.base import MapPlotConfig`): either a Yaml string or a
dictionary with configuration settings or a ValidatedMapPlotConfig object to use directly
figure_options (dict): figure options for the matplotlib Figure, if figsizes is not given you can also specify
two ints, width and height, to indicate the pixel size of the resulting figure, together with the dpi they
are used to calculate the figsize. Only used if use_qt=False.
block (boolean): if we block the plots or not
show_maximized (boolean): if we show the window maximized or not
window_title (str): the title for the window
use_qt (boolean): if we want to use the Qt GUI, or show the results directly in matplotlib
"""
from mdt.gui.maps_visualizer.main import start_gui
from mdt.visualization.maps.base import MapPlotConfig
from mdt.visualization.maps.matplotlib_renderer import MapsVisualizer
from mdt.visualization.maps.base import SimpleDataInfo
import matplotlib.pyplot as plt
if isinstance(data, string_types):
data = SimpleDataInfo.from_paths([data])
elif isinstance(data, collections.MutableMapping):
data = SimpleDataInfo(data)
elif isinstance(data, collections.Sequence):
if all(isinstance(el, string_types) for el in data):
data = SimpleDataInfo.from_paths(data)
else:
data = SimpleDataInfo({str(ind): v for ind, v in enumerate(data)})
elif data is None:
data = SimpleDataInfo({})
if config is None:
config = MapPlotConfig()
elif isinstance(config, string_types):
if config.strip():
config = MapPlotConfig.from_yaml(config)
else:
config = MapPlotConfig()
elif isinstance(config, dict):
config = MapPlotConfig.from_dict(config)
if use_qt:
start_gui(data,
config,
app_exec=block,
show_maximized=show_maximized,
window_title=window_title)
else:
figure_options = figure_options or {}
figure_options['dpi'] = figure_options.get('dpi', 100)
if 'figsize' not in figure_options:
figure_options['figsize'] = (figure_options.pop('width', 1800) /
figure_options['dpi'],
figure_options.pop('height', 1600) /
figure_options['dpi'])
figure = plt.figure(**figure_options)
viz = MapsVisualizer(data, figure)
viz.show(config, block=block, maximize=show_maximized)
def view_maps(data,
config=None,
figure_options=None,
block=True,
show_maximized=False,
use_qt=True,
window_title=None,
save_filename=None):
"""View a number of maps using the MDT Maps Visualizer.
Args:
data (str, dict, :class:`~mdt.visualization.maps.base.DataInfo`, list, tuple): the data we are showing,
either a dictionary with result maps, a string with a path name, a DataInfo object or a list
with filenames and/or directories.
config (str, dict, :class:`~mdt.visualization.maps.base import MapPlotConfig`): either a Yaml string or a
dictionary with configuration settings or a ValidatedMapPlotConfig object to use directly
figure_options (dict): Used when ``use_qt`` is False or when ``write_figure`` is used.
Sets the figure options for the matplotlib Figure.
If figsizes is not given you can also specify two ints, width and height, to indicate the pixel size of
the resulting figure, together with the dpi they are used to calculate the figsize.
block (boolean): if we block the plots or not
show_maximized (boolean): if we show the window maximized or not
window_title (str): the title for the window
use_qt (boolean): if we want to use the Qt GUI, or show the results directly in matplotlib
save_filename (str): save the figure to file. If set, we will not display the viewer.
"""
from mdt.gui.maps_visualizer.main import start_gui
from mdt.visualization.maps.base import MapPlotConfig
from mdt.visualization.maps.matplotlib_renderer import MapsVisualizer
from mdt.visualization.maps.base import SimpleDataInfo
import matplotlib.pyplot as plt
from mdt.gui.maps_visualizer.actions import NewDataAction
from mdt.gui.maps_visualizer.base import SimpleDataConfigModel
if isinstance(data, str):
data = SimpleDataInfo.from_paths([data])
elif isinstance(data, collections.MutableMapping):
data = SimpleDataInfo(data)
elif isinstance(data, collections.Sequence):
if all(isinstance(el, str) for el in data):
data = SimpleDataInfo.from_paths(data)
else:
data = SimpleDataInfo({str(ind): v for ind, v in enumerate(data)})
elif data is None:
data = SimpleDataInfo({})
if config is None:
config = MapPlotConfig()
elif isinstance(config, str):
if config.strip():
config = MapPlotConfig.from_yaml(config)
else:
config = MapPlotConfig()
elif isinstance(config, dict):
config = MapPlotConfig.from_dict(config)
config = config.create_valid(data)
if not use_qt or save_filename:
settings = {'dpi': 100, 'width': 1800, 'height': 1600}
if save_filename:
settings = {'dpi': 80, 'width': 800, 'height': 600}
settings.update(figure_options or {})
if 'figsize' not in settings:
settings['figsize'] = (settings['width'] / settings['dpi'],
settings['height'] / settings['dpi'])
del settings['width']
del settings['height']
figure = plt.figure(**settings)
viz = MapsVisualizer(data, figure)
if save_filename:
viz.to_file(save_filename, config, dpi=settings['dpi'])
else:
viz.show(config, block=block, maximize=show_maximized)
else:
start_gui(data,
config,
app_exec=block,
show_maximized=show_maximized,
window_title=window_title)
def set_new_data(self, data_info):
self.visualizer = MapsVisualizer(data_info, self.figure)
self._redraw_timer.start(300)
def update():
self._previous_model = model
self.visualizer = MapsVisualizer(model.get_data(), self.figure)
if self._auto_render:
self._redraw_timer.start(300)
def view_maps(data,
config=None,
to_file=None,
to_file_options=None,
block=True,
show_maximized=False,
use_qt=True,
figure_options=None,
window_title=None,
enable_directory_watcher=True):
"""View a number of maps using the MDT Maps Visualizer.
To save a file to an image, you can use (the simplest) the following two options::
to_file='filename.png',
figure_options={'width': 1200, 'height': 750, 'dpi': 100}
Args:
data (str, dict, :class:`~mdt.visualization.maps.base.DataInfo`): the data we are showing,
either a dictionary with result maps, a string with a path name or a DataInfo object
config (str, dict, :class:`~mdt.visualization.maps.base import MapPlotConfig`): either a Yaml string or a
dictionary with configuration settings or a ValidatedMapPlotConfig object to use directly
to_file (str): if set we output the figure to a file and do not launch a GUI
to_file_options (dict): extra output options for the savefig command from matplotlib, if dpi is not given, we
use the dpi from the figure_options.
block (boolean): if we block the plots or not
show_maximized (boolean): if we show the window maximized or not
use_qt (boolean): if we want to use the Qt GUI, or show the results directly in matplotlib
figure_options (dict): figure options for the matplotlib Figure, if figsizes is not given you can also specify
two ints, width and height, to indicate the pixel size of the resulting figure, together with the dpi they
are used to calculate the figsize.
window_title (str): the title for the window
enable_directory_watcher (boolean): if the directory watcher should be enabled/disabled, only applicable for the
QT GUI. If the directory watcher is enabled, the viewer will automatically add new maps when added
to the folder and also automatically remove maps when they are removed from the directory.
It is useful to disable this if you want to have multiple viewers open with old results.
"""
from mdt.gui.maps_visualizer.main import start_gui
from mdt.visualization.maps.base import MapPlotConfig
from mdt.visualization.maps.matplotlib_renderer import MapsVisualizer
import matplotlib.pyplot as plt
from mdt.visualization.maps.base import DataInfo
if isinstance(data, string_types):
data = DataInfo.from_dir(data)
elif isinstance(data, dict):
data = DataInfo(data)
elif data is None:
data = DataInfo({})
if config is None:
config = MapPlotConfig()
elif isinstance(config, string_types):
if config.strip():
config = MapPlotConfig.from_yaml(config)
else:
config = MapPlotConfig()
elif isinstance(config, dict):
config = MapPlotConfig.from_dict(config)
if to_file:
figure_options = figure_options or {}
figure_options['dpi'] = figure_options.get('dpi', 80)
if 'figsize' not in figure_options:
figure_options['figsize'] = (figure_options.pop('width', 800) /
figure_options['dpi'],
figure_options.pop('height', 640) /
figure_options['dpi'])
figure = plt.figure(**figure_options)
viz = MapsVisualizer(data, figure)
to_file_options = to_file_options or {}
to_file_options['dpi'] = to_file_options.get('dpi',
figure_options['dpi'])
viz.to_file(to_file, config, **to_file_options)
elif use_qt:
start_gui(data,
config,
app_exec=block,
show_maximized=show_maximized,
window_title=window_title,
enable_directory_watcher=enable_directory_watcher)
else:
figure_options = figure_options or {}
figure_options['dpi'] = figure_options.get('dpi', 100)
if 'figsize' not in figure_options:
figure_options['figsize'] = (figure_options.pop('width', 1800) /
figure_options['dpi'],
figure_options.pop('height', 1600) /
figure_options['dpi'])
figure = plt.figure(**figure_options)
viz = MapsVisualizer(data, figure)
viz.show(config, block=block, maximize=show_maximized)