609 lines
23 KiB
Python
609 lines
23 KiB
Python
from nixview.util.enums import NodeType, PlotterTypes
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from PyQt5.QtWidgets import QGroupBox, QHBoxLayout, QLabel, QPushButton, QSizePolicy, QSlider, QVBoxLayout, QWidget
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from PyQt5.QtCore import pyqtSignal, Qt
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import matplotlib
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matplotlib.use('Qt5Agg')
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from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
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from matplotlib.figure import Figure
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import numpy as np
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try:
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import matplotlib.pyplot as plt
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except ImportError as e:
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print("cannot import matplotlib, headless mode?", e)
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from matplotlib.widgets import Slider
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from nixview.util.file_handler import FileHandler
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from nixview.util.dataview import DataView
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from nixview.communicator import communicator
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def create_label(item):
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label = ""
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if hasattr(item, "label"):
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label += (item.label if item.label is not None else "")
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if len(label) == 0 and hasattr(item, "name"):
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label += item.name
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if hasattr(item, "unit") and item.unit is not None:
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label += " [%s]" % item.unit
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return label
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class MplCanvas(FigureCanvas):
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""" MplCanvas extends FigureCanvasQtAgg Matplotlib backend.
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Args:
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FigureCanvas ([type]): [description]
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"""
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view_changed = pyqtSignal()
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def __init__(self, parent=None, width=5, height=4, dpi=100):
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figure = Figure(figsize=(width, height), dpi=dpi)
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self.axis = figure.add_subplot(111)
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super(MplCanvas, self).__init__(figure)
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self._figure = figure
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self._figure.canvas.mpl_connect('figure_enter_event', self.on_enter_figure)
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self._figure.canvas.mpl_connect('figure_leave_event', self.on_leave_figure)
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self._figure.canvas.mpl_connect('axes_enter_event', self.on_enter_axes)
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self._figure.canvas.mpl_connect('axes_leave_event', self.on_leave_axes)
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self._figure.canvas.mpl_connect('pick_event', self.on_pick)
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def on_enter_figure(self, event):
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# print('enter_figure', event.canvas.figure)
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# event.canvas.figure.patch.set_facecolor('red')
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# event.canvas.draw()
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pass
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def on_leave_figure(self, event):
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# print('leave_figure', event.canvas.figure)
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# event.canvas.figure.patch.set_facecolor('grey')
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# event.canvas.draw()
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pass
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def on_enter_axes(self, event):
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# print('enter_axes', event.inaxes)
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# event.inaxes.patch.set_facecolor('yellow')
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# event.canvas.draw()
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pass
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def on_leave_axes(self, event):
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# print('leave_axes', event.inaxes)
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# event.inaxes.patch.set_facecolor('white')
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# event.canvas.draw()
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pass
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def on_pick(self, event):
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line = event.artist
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print(line.label)
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xdata, ydata = line.get_data()
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ind = event.ind
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print('on pick line:', np.array([xdata[ind], ydata[ind]]).T)
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#def clear(self):
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# self.clear()
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#@property
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#def enter_figure(self):
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# return self._fig
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class Plotter(MplCanvas):
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""" Abstract class for visual display of data (plotting)
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Inheriting classes need to implement the current_view and is_full_view methods
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Plotter extends MplCanvas.
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"""
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def __init__(self, file_handler, item, data_view, parent=None) -> None:
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super().__init__(parent=parent)
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self._file_handler = file_handler
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self._item = item
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self._dataview = data_view
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@property
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def is_full_view(self):
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raise NotImplementedError("is_full_view is not implemented on the current plotter")
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@property
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def can_pan_horizontally(self):
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raise NotImplementedError("can_pan_left is not implemented on the current plotter")
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class EventPlotter(Plotter):
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def __init__(self, file_handler, item, data_view, xdim=-1, parent=None):
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super().__init__(file_handler, item, data_view, parent)
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self.dim_count = len(self._dataview.full_shape)
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if xdim == -1:
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self.xdim = self._item.best_xdim
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else:
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self.xdim = xdim
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self._abs_xmin = 0
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self._abs_xmax = self._dataview.full_shape[self.xdim]
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self._view_xmin = 0
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self._view_xmax = 0
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self._zoom_level = 0
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self._segment_length = 0
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self.sc = None
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@property
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def is_full_view(self):
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full = self._data_xmin == self._view_xmin and self._data_xmax == self._view_xmax
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return full
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@property
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def can_pan_horizontally(self):
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return self.can_pan_left or self.can_pan_right
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@property
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def can_pan_left(self):
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return self._view_xmin > self._abs_xmin
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@property
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def can_pan_right(self):
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return self._view_xmax < self._abs_xmax
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@property
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def horizontal_pan_position(self):
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return self._view_xmax/self._abs_xmax
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def horizontal_pan_to_position(self, new_position, zoomlevel):
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new_xmax = int(np.min([np.ceil(new_position * self._abs_xmax), self._abs_xmax]))
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segment_length = zoomlevel * self._abs_xmax
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start = np.max([0, new_xmax - segment_length])
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while not self._dataview.fully_loaded and new_xmax < self._dataview.current_shape[self.xdim]:
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self._dataview.request_more()
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self.plot(start, zoomlevel)
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def plot(self, start=0, zoomlevel=1.0):
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if zoomlevel > 1:
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zoomlevel = 1.0
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self._segment_length = zoomlevel * self._abs_xmax
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self._zoom_level = zoomlevel
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if self.dim_count == 1:
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return self.plot_1d(start)
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else:
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return None # FIXME 2D events?
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def plot_1d(self, start=0, zoomlevel=1.0):
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if start < 0:
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start = 0
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end = start + self._segment_length
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if end > self._dataview.current_shape[self.xdim]:
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end = self._dataview.current_shape[self.xdim]
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y_values = self._dataview._buffer[int(start):int(end)]
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x_values = self._file_handler.request_axis(self._item.block_id, self._item.id, 0, len(y_values), int(start))
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data = self._dataview._buffer[:]
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dimensions = self._file_handler.request_dimensions(self._item.block_id, self._item.id)
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xlabel = create_label(dimensions[self.xdim])
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#dim = dimensions[self.xdim]
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#if "Range"dim.type == dRange and not dim.is_alias:
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# ylabel = create_label(self.array)
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#else:
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# ylabel = ""
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if self.sc is None:
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label = self._item.name
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self.sc = self.axis.scatter(data, np.ones(data.shape))
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self.sc.set_pickradius(5)
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else:
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self.sc.set_data(data, np.ones(data.shape))
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self.figure.canvas.draw_idle()
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# self.axis.set_ylim([np.min(y_values), np.max(y_values)])
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self.axis.set_xlim([x_values[0], x_values[-1]])
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self.axis.set_ylim([0.5, 1.5])
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self.axis.set_yticks([1.])
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self.axis.set_yticklabels([])
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self.axis.set_xlabel(xlabel)
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# self.axis.set_ylabel(ylabel)
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return self.axis
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class CategoryPlotter(Plotter):
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def __init__(self, file_handler, item, data_view, parent=None):
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super().__init__(file_handler, item, data_view, parent)
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self.dim_count = len(self._dataview.full_shape)
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self._xdim = self._item.best_xdim
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self.bars = []
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def plot(self):
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if len(self._dataview.full_shape) == 1:
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return self.plot_1d()
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elif len(self._dataview.full_shape) == 2:
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return self.plot_2d()
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else:
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return None
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def plot_1d(self):
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categories = None
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ylabel = create_label(self._item)
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categories = self._file_handler.request_axis(self._item.block_id, self._item.id, self._item.best_xdim, self._item.shape[self._item.best_xdim])
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if categories is None or len(categories) == 0:
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categories = ["Cat-%i" % i for i in range(len(categories))]
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ylabel = create_label(self._item)
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self.bars.append(self.axis.bar(range(1, len(categories) + 1), self._dataview._buffer, tick_label=categories))
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self.axis.set_ylabel(ylabel)
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return self.axis
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def plot_2d(self):
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categories = None
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ylabel = create_label(self._item)
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data = self._dataview._buffer
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if self._item.best_xdim == 1:
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data = data.T
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categories = self._file_handler.request_axis(self._item.block_id, self._item.id, self._item.best_xdim, self._item.shape[self._item.best_xdim])
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if categories is None or len(categories) == 0:
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categories = ["Cat-%i" % i for i in range(self._item.shape[self._item.best_xdim])]
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series = self._file_handler.request_axis(self._item.block_id, self._item.id, 1 - self._item.best_xdim, self._item.shape[1 - self._item.best_xdim])
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if len(series) == 0:
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series = ["Series-%i" % i for i in range(self._item.shape[1 - self._item.best_xdim])]
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ylabel = create_label(self._item)
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bar_width = 1/len(series) * 0.75
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for i in range(len(series)):
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x_values = np.arange(len(categories)) + i * bar_width
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self.bars.append(self.axis.bar(x_values, data[:, i], width=bar_width, align="center")[0])
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self.axis.set_xticks(np.arange(len(categories)) + len(series) * bar_width/2)
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self.axis.set_xticklabels(categories)
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self.axis.legend(self.bars, series, loc=1)
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self.axis.set_ylabel(ylabel)
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class ImagePlotter(Plotter):
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def __init__(self, file_handler, item, data_view, xdim=-1, parent=None):
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super().__init__(file_handler, item, data_view, parent)
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self._dim_count = len(self._dataview.full_shape)
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if self._dim_count > 3:
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raise ValueError("ImagePlotter cannot plot data with more than 3 dimensions! Shape of %s is %s " %(self._item.name, str(self._dataview.full_shape)))
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self.image = None
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def plot(self):
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while not self._dataview.fully_loaded:
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self._dataview.request_more()
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self.axis.set_title(self._item.name)
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if self._dim_count == 2:
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return self.plot_2d()
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elif self._dim_count == 3:
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return self.plot_3d()
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def plot_2d(self):
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data = self._dataview._buffer[:]
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if len(data.shape) == 3:
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data = data.astype("uint8")
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x_values = self._file_handler.request_axis(self._item.block_id, self._item.id, 0, self._dataview.full_shape[0], 0)
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y_values = self._file_handler.request_axis(self._item.block_id, self._item.id, 1, self._dataview.full_shape[1], 0)
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dimensions = self._file_handler.request_dimensions(self._item.block_id, self._item.id)
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xlabel = create_label(dimensions[0])
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ylabel = create_label(dimensions[1])
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self.image = self.axis.imshow(data, extent=[x_values[0], x_values[-1], y_values[0], y_values[-1]])
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self.axis.set_xlabel(xlabel)
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self.axis.set_ylabel(ylabel)
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return self.axis
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def plot_3d(self):
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if self._dataview.full_shape[2] > 3:
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print("cannot plot 3d data with more than 3 channels "
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"in the third dim")
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return None
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return self.plot_2d()
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class LinePlotter(Plotter):
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""" LinePlotter extends and implements the Plotter class. It shows line plot data. Either single or multiple line
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Args:
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Plotter ([type]): [description]
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"""
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def __init__(self, file_handler, item, data_view, xdim=-1, parent=None):
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super().__init__(file_handler, item, data_view, parent)
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#self.canvas = FigureCanvas(self.figure)
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#self.toolbar = NavigationToolbar(self.canvas, self)
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self.dimensions = self._file_handler.request_dimensions(self._item.block_id, self._item.id)
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self.lines = []
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self.dim_count = len(self._dataview.full_shape)
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if xdim == -1:
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self.xdim = item.best_xdim
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elif xdim > 2:
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raise ValueError("LinePlotter: xdim is larger than 2! "
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"Cannot plot that kind of data")
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else:
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self.xdim = xdim
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self._data_xmin = 0
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self._data_xmax = self._dataview.current_shape[self.xdim]
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self._abs_xmin = 0
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self._abs_xmax = self._dataview.full_shape[self.xdim]
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self._view_xmin = 0
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self._view_xmax = 0
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self._zoom_level = 0
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self._segment_length = 0
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# self.axis.callbacks.connect('xlim_changed', self.on_xlims_change)
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# self.axis.callbacks.connect('ylim_changed', self.on_ylims_change)
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@property
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def is_full_view(self):
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full = self._data_xmin == self._view_xmin and self._data_xmax == self._view_xmax
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return full
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@property
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def can_pan_horizontally(self):
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return self.can_pan_left or self.can_pan_right
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@property
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def can_pan_left(self):
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return self._view_xmin > self._abs_xmin
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@property
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def can_pan_right(self):
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return self._view_xmax < self._abs_xmax
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@property
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def horizontal_pan_position(self):
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return self._view_xmax/self._abs_xmax
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def horizontal_pan_to_position(self, new_position, zoomlevel):
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new_xmax = int(np.min([np.ceil(new_position * self._abs_xmax), self._abs_xmax]))
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segment_length = zoomlevel * self._abs_xmax
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start = np.max([0, new_xmax - segment_length])
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while not self._dataview.fully_loaded and new_xmax < self._dataview.current_shape[self.xdim]:
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self._dataview.request_more()
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self.plot(start, zoomlevel)
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def on_zoom_in(self, new_position):
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print("plotter ZOOM In!", new_position)
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def on_zoom_out(self, new_position):
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print("plotter ZOOM out!", new_position)
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def plot(self, start=0, zoomlevel=1.0):
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if zoomlevel > 1:
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zoomlevel = 1.0
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self._segment_length = zoomlevel * self._abs_xmax
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self._zoom_level = zoomlevel
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if self.dim_count > 2:
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return
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if self.dim_count == 1:
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self.plot_array_1d(start)
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else:
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self.plot_array_2d(start)
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def _update_abs_extremes(self, display_x_min, display_xmax):
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if self._data_xmin is None or display_x_min < self._data_xmin:
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self._data_xmin = display_x_min
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if self._data_xmax is None or display_xmax > self._data_xmax:
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self._data_xmax = display_xmax
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def _update_current_view(self, current_xmin, current_xmax):
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self._view_xmax = current_xmax
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self._view_xmin = current_xmin
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def __draw_1d(self, start, end):
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""" draw the data from start to end index.
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Args:
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start (int): start index in the data
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end (int): end index in the data
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"""
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if start < 0:
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start = 0
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if end > self._dataview.current_shape[self.xdim]:
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end = self._dataview.current_shape[self.xdim]
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y_values = self._dataview._buffer[int(start):int(end)]
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x_values = self._file_handler.request_axis(self._item.block_id, self._item.id, 0, len(y_values), int(start))
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self._update_abs_extremes(start, end)
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self._update_current_view(start, end)
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if len(self.lines) == 0:
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label = self._item.name
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l, = self.axis.plot(x_values, y_values, label=label)
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l.set_pickradius(5)
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self.lines.append(l)
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else:
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self.lines[-1].set_data(x_values[:len(y_values)], y_values)
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self.figure.canvas.draw_idle()
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self.axis.set_ylim([np.min(y_values), np.max(y_values)])
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self.axis.set_xlim([x_values[0], x_values[-1]])
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def __draw_2d(self, start, end):
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if start < 0:
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start = 0
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if end > self._dataview.current_shape[self.xdim]:
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end = self._dataview.current_shape[self.xdim]
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x = self._file_handler.request_axis(self._item.block_id, self._item.id, self.xdim, int(end-start), start)
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line_count = self._dataview.current_shape[1 - self.xdim]
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line_labels = self._file_handler.request_axis(self._item.block_id, self._item.id, 1-self.xdim, line_count, 0)
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self._update_abs_extremes(x[0], x[-1])
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for i, l in enumerate(line_labels):
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if (self.xdim == 0):
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y = self._dataview._buffer[int(start):int(end), i]
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else:
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y = self._dataview._buffer[i, int(start):int(end)]
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if len(self.lines) <= i:
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ll, = self.axis.plot(x, y, label=l)
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ll.set_pickradius(5)
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self.lines.append(ll)
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else:
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self.lines[i].set_ydata(y)
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self.lines[i].set_xdata(x)
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self.axis.legend()
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self.axis.set_xlim([x[0], x[-1]])
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def plot_array_1d(self, start=0):
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self.__draw_1d(start, start + self._segment_length)
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xlabel = create_label(self.dimensions[self.xdim])
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ylabel = create_label(self._item)
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self.axis.set_xlabel(xlabel)
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self.axis.set_ylabel(ylabel)
|
|
self.view_changed.emit()
|
|
|
|
def plot_array_2d(self, start=0):
|
|
self.__draw_2d(start, start + self._segment_length)
|
|
xlabel = create_label(self.dimensions[self.xdim])
|
|
ylabel = create_label(self._item)
|
|
self.axis.set_xlabel(xlabel)
|
|
self.axis.set_ylabel(ylabel)
|
|
self.axis.legend(loc=1)
|
|
self.view_changed.emit()
|
|
|
|
|
|
class PlotContainer(QWidget):
|
|
def __init__(self, parent=None) -> None:
|
|
super().__init__(parent=parent)
|
|
self.setLayout(QVBoxLayout())
|
|
self.plotter = None
|
|
|
|
def set_plotter(self, plotter):
|
|
if not self.layout().isEmpty():
|
|
self.layout().removeWidget(self.plotter)
|
|
self.layout().addWidget(plotter)
|
|
self.plotter = plotter
|
|
|
|
|
|
class PlotScreen(QWidget):
|
|
close_signal = pyqtSignal()
|
|
|
|
def __init__(self, parent=None) -> None:
|
|
super().__init__(parent=parent)
|
|
self._file_handler = FileHandler()
|
|
|
|
self.setLayout(QVBoxLayout())
|
|
self._container = PlotContainer(self)
|
|
self.layout().addWidget(self._container)
|
|
|
|
close_btn = QPushButton("close")
|
|
close_btn.clicked.connect(self.on_close)
|
|
|
|
self._create_plot_controls()
|
|
self.layout().addWidget(close_btn)
|
|
self._data_view = None
|
|
|
|
self._software_slide = False
|
|
self.plotter = None
|
|
|
|
def _create_plot_controls(self):
|
|
plot_controls = QGroupBox()
|
|
plot_controls.setFlat(True)
|
|
plot_controls.setLayout(QHBoxLayout())
|
|
plot_controls.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Fixed)
|
|
self._zoom_slider = QSlider(Qt.Horizontal)
|
|
self._zoom_slider.setSizePolicy(QSizePolicy.Fixed, QSizePolicy.Fixed)
|
|
self._zoom_slider.setFixedWidth(120)
|
|
self._zoom_slider.setFixedHeight(20)
|
|
self._zoom_slider.setTickPosition(QSlider.TicksBelow)
|
|
self._zoom_slider.setSliderPosition(500)
|
|
self._zoom_slider.setMinimum(1)
|
|
self._zoom_slider.setMaximum(1000)
|
|
self._zoom_slider.setTickInterval(250)
|
|
self._zoom_slider.valueChanged.connect(self.on_zoom)
|
|
|
|
self._pan_slider = QSlider(Qt.Horizontal)
|
|
self._pan_slider.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Fixed)
|
|
self._pan_slider.setFixedHeight(20)
|
|
self._pan_slider.setTickPosition(QSlider.TicksBelow)
|
|
self._pan_slider.setSliderPosition(0)
|
|
self._pan_slider.setMinimum(1)
|
|
self._pan_slider.setMaximum(1000)
|
|
self._pan_slider.setTickInterval(250)
|
|
self._pan_slider.valueChanged.connect(self.on_pan)
|
|
|
|
pl = QLabel("horiz. pos.:")
|
|
pl.setSizePolicy(QSizePolicy.Minimum, QSizePolicy.Fixed)
|
|
pl.setMaximumWidth(150)
|
|
zl = QLabel("zoom:")
|
|
zl.setSizePolicy(QSizePolicy.Minimum, QSizePolicy.Fixed)
|
|
zl.setMaximumWidth(75)
|
|
plot_controls.layout().addWidget(pl)
|
|
plot_controls.layout().addWidget(self._pan_slider)
|
|
plot_controls.layout().addWidget(zl)
|
|
plot_controls.layout().addWidget(QLabel("+"))
|
|
plot_controls.layout().addWidget(self._zoom_slider)
|
|
plot_controls.layout().addWidget(QLabel("-"))
|
|
self.layout().addWidget(plot_controls)
|
|
|
|
def on_close(self):
|
|
self.close_signal.emit()
|
|
|
|
def on_zoom(self, new_position):
|
|
if self.plotter is None:
|
|
return
|
|
if self._software_slide:
|
|
self._software_slide = False
|
|
return
|
|
self.plotter.horizontal_pan_to_position(self._pan_slider.sliderPosition()/1000, self._zoom_slider.sliderPosition()/1000)
|
|
|
|
def on_pan(self, new_position):
|
|
# self._pan_slider.setEnabled(False)
|
|
if self._software_slide:
|
|
self._software_slide = False
|
|
return
|
|
self.plotter.horizontal_pan_to_position(new_position/1000., self._zoom_slider.sliderPosition()/1000.)
|
|
|
|
def on_view_changed(self):
|
|
self._pan_slider.setEnabled(self.plotter.can_pan_horizontally)
|
|
|
|
def plot_data_array(self, item):
|
|
try:
|
|
self._data_view = DataView(item, self._file_handler)
|
|
except ValueError as e:
|
|
print("ping!")
|
|
communicator.plot_error.emit("error in plotscreen.plot %s" % e)
|
|
return
|
|
if self._data_view is None:
|
|
return
|
|
|
|
if item.suggested_plotter == PlotterTypes.LinePlotter:
|
|
self._zoom_slider.setEnabled(True)
|
|
self._pan_slider.setEnabled(True)
|
|
zoom_slider_position = np.round(1000 / (self._data_view.full_shape[item.best_xdim] / 50000))
|
|
self._software_slide = True
|
|
self._zoom_slider.setSliderPosition(zoom_slider_position)
|
|
self.plotter = LinePlotter(self._file_handler, item, self._data_view)
|
|
self.plotter.view_changed.connect(self.on_view_changed)
|
|
self._container.set_plotter(self.plotter)
|
|
self.plotter.plot(zoomlevel=zoom_slider_position/1000.)
|
|
self._software_slide = False
|
|
elif item.suggested_plotter == PlotterTypes.ImagePlotter:
|
|
self._zoom_slider.setEnabled(False)
|
|
self._pan_slider.setEnabled(False)
|
|
self.plotter = ImagePlotter(self._file_handler, item, self._data_view)
|
|
self._container.set_plotter(self.plotter)
|
|
self.plotter.plot()
|
|
elif item.suggested_plotter == PlotterTypes.EventPlotter:
|
|
self._zoom_slider.setEnabled(False)
|
|
self._pan_slider.setEnabled(False)
|
|
self.plotter = EventPlotter(self._file_handler, item, self._data_view)
|
|
self._container.set_plotter(self.plotter)
|
|
self.plotter.plot()
|
|
elif item.suggested_plotter == PlotterTypes.CategoryPlotter:
|
|
self._zoom_slider.setEnabled(False)
|
|
self._pan_slider.setEnabled(False)
|
|
self.plotter = CategoryPlotter(self._file_handler, item, self._data_view)
|
|
self._container.set_plotter(self.plotter)
|
|
self.plotter.plot()
|
|
else:
|
|
self._container.set_plotter(None)
|
|
|
|
def plot_tag(self, item):
|
|
pass
|
|
|
|
def plot(self, item):
|
|
if item.entity_type == NodeType.DataArray:
|
|
self.plot_data_array(item)
|
|
elif item.entity_type == NodeType.MultiTag or item.entity_type == NodeType.Tag:
|
|
self.plot_tag(item)
|
|
else:
|
|
communicator.plot_error.emit("error in plotscreen.plot cannot plot entity of type%s" % item.entity_type)
|
|
return
|
|
|