Source code for autopilot.gui.menus.plots

import copy

import numpy as np
from PySide2 import QtWidgets, QtGui

from import Subject

[docs]class Psychometric(QtWidgets.QDialog): """ A Dialog to select subjects, steps, and variables to use in a psychometric curve plot. See :meth:`.Terminal.plot_psychometric` Args: subjects_protocols (dict): The Terminals :attr:`.Terminal.subjects_protocols` dict Attributes: plot_params (list): A list of tuples, each consisting of (subject_id, step, variable) to be given to :func:`.viz.plot_psychometric` """ def __init__(self, subjects_protocols): super(Psychometric, self).__init__() self.subjects = subjects_protocols # self.protocols = protocols # self.protocol_dir = prefs.get('PROTOCOLDIR') self.subject_objects = {} self.init_ui()
[docs] def init_ui(self): self.grid = QtWidgets.QGridLayout() # top row just has checkbox for select all check_all = QtWidgets.QCheckBox() check_all.stateChanged.connect(self.check_all) self.grid.addWidget(check_all, 0,0) self.grid.addWidget(QtWidgets.QLabel('Check All'), 0, 1) # identical to Reassign, above for i, (subject, protocol) in zip(range(len(self.subjects)), self.subjects.items()): subject_name = copy.deepcopy(subject) step = protocol[1] # container for each subject's GUI object # checkbox, step, variable self.subject_objects[subject] = [QtWidgets.QCheckBox(), QtWidgets.QComboBox(), QtWidgets.QComboBox(), QtWidgets.QLineEdit()] # include checkbox checkbox = self.subject_objects[subject][0] checkbox.setObjectName(subject_name) # checkbox.stateChanged.connect(self.select_subject) # self.checks.append(this_checkbox) # subject label subject_lab = QtWidgets.QLabel(subject_name) # protocol_box = self.subject_objects[subject][0] # protocol_box.setObjectName(subject_name) # protocol_box.insertItems(0, self.protocols) # # set current item if subject has matching protocol # protocol_bool = [protocol == p for p in self.protocols] # if any(protocol_bool): # protocol_ind = np.where(protocol_bool)[0][0] # protocol_box.setCurrentIndex(protocol_ind) # protocol_box.currentIndexChanged.connect(self.set_protocol) self.populate_steps(subject_name) step_box = self.subject_objects[subject][1] step_box.setObjectName(subject_name) step_box.currentIndexChanged.connect(self.populate_variables) # variable box var_box = self.subject_objects[subject][2] var_box.setObjectName(subject_name) # n most recent trials n_trials_box = self.subject_objects[subject][3] # verify that an int is given n_trials_box.setValidator(QtGui.QIntValidator()) n_trials_box.setText("-1") # set index of current step to populate variables step_box.setCurrentIndex(step) # add layout self.grid.addWidget(checkbox, i+1, 0) self.grid.addWidget(subject_lab, i+1, 1) self.grid.addWidget(step_box, i+1, 2) self.grid.addWidget(var_box, i+1, 3) self.grid.addWidget(n_trials_box, i+1, 4) # finish layout buttonBox = QtWidgets.QDialogButtonBox(QtWidgets.QDialogButtonBox.Ok | QtWidgets.QDialogButtonBox.Cancel) buttonBox.accepted.connect(self.accept) buttonBox.rejected.connect(self.reject) main_layout = QtWidgets.QVBoxLayout() main_layout.addLayout(self.grid) main_layout.addWidget(buttonBox) self.setLayout(main_layout)
[docs] def populate_steps(self, subject): """ When a protocol is selected, populate the selection box with the steps that can be chosen. Args: subject (str): ID of subject whose steps are being populated """ # protocol_str = self.subjects[subject][0] step_box = self.subject_objects[subject][1] while step_box.count(): step_box.removeItem(0) # open the subject file and use 'current' to get step names asub = Subject(subject) step_list = [] for s in asub.current: step_list.append(s['step_name']) step_box.insertItems(0, step_list)
[docs] def populate_variables(self): """ Fill selection boxes with step and variable names """ # get step number from step box subject = self.sender().objectName() step_ind = self.subject_objects[subject][1].currentIndex() # the variables box var_box = self.subject_objects[subject][2] while var_box.count(): var_box.removeItem(0) # open the subjet's file and get a description of the data for this this_subject = Subject(subject) step_data = this_subject.get_trial_data(step=step_ind, what="variables") # should only have one step, so denest step_data = step_data[step_data.keys()[0]] # iterate through variables, only keeping numerics add_vars = [] for col_name, col_type in step_data.items(): if issubclass(col_type.dtype.type, np.integer) or issubclass(col_type.dtype.type, np.floating): add_vars.append(col_name) var_box.insertItems(0, add_vars)
[docs] def check_all(self): """ Toggle all checkboxes on or off """ # check states to know if we're toggling everything on or off check_states = [objs[0].checkState() for objs in self.subject_objects.values()] toggle_on = True if all(check_states): toggle_on = False for objs in self.subject_objects.values(): if toggle_on: objs[0].setCheckState(True) else: objs[0].setCheckState(False)
@property def plot_params(self): """ Generate parameters for plot to be passed to :func:`.viz.plot_psychometric` Returns: tuple: (subject_name, step_name, x_var_name, n_trials_back) """ _plot_params = [] for sub_name, objs in self.subject_objects.items(): if objs[0].checkState(): _plot_params.append(( sub_name, objs[1].currentText(), objs[2].currentText(), int(objs[3].text()) )) return _plot_params