def _set_values(self, matrix, colors, formatstr, tooltip): """ Set content of cells which aren't headers and don't represent aggregate values. Parameters ---------- matrix : numpy.array 2D array to be set as data. colors : :obj:`numpy.array` 2D array with color values. formatstr : :obj:`str`, optional Format string for cell data. tooltip : :obj:`(int, int) -> str` Function which takes vertical index and horizontal index as arguments and returns desired tooltip as a string. """ def _isinvalid(x): return isnan(x) or isinf(x) for i in range(len(self.classesv)): for j in range(len(self.classesh)): val = matrix[i, j] col_val = float('nan') if colors is None else colors[i, j] item = QStandardItem() if self.circles: item.setData(val, CircleAreaRole) else: item.setData( "NA" if _isinvalid(val) else formatstr.format(val), Qt.DisplayRole) bkcolor = QColor.fromHsl( [0, 240][i == j], 160, 255 if _isinvalid(col_val) else int(255 - 30 * col_val)) item.setData(QBrush(bkcolor), Qt.BackgroundRole) item.setData("trbl", BorderRole) if tooltip is not None: item.setToolTip(tooltip(i, j)) item.setTextAlignment(Qt.AlignRight | Qt.AlignVCenter) item.setFlags(Qt.ItemIsEnabled | Qt.ItemIsSelectable) self._set_item(i + 2, j + 2, item)
def _update(self): def _isinvalid(x): return isnan(x) or isinf(x) # Update the displayed confusion matrix if self.results is not None and self.selected_learner: cmatrix = confusion_matrix(self.results, self.selected_learner[0]) colsum = cmatrix.sum(axis=0) rowsum = cmatrix.sum(axis=1) n = len(cmatrix) diag = np.diag_indices(n) colors = cmatrix.astype(np.double) colors[diag] = 0 if self.selected_quantity == 0: normalized = cmatrix.astype(np.int) formatstr = "{}" div = np.array([colors.max()]) else: if self.selected_quantity == 1: normalized = 100 * cmatrix / colsum div = colors.max(axis=0) else: normalized = 100 * cmatrix / rowsum[:, np.newaxis] div = colors.max(axis=1)[:, np.newaxis] formatstr = "{:2.1f} %" div[div == 0] = 1 colors /= div colors[diag] = normalized[diag] / normalized[diag].max() for i in range(n): for j in range(n): val = normalized[i, j] col_val = colors[i, j] item = self._item(i + 2, j + 2) item.setData( "NA" if _isinvalid(val) else formatstr.format(val), Qt.DisplayRole) bkcolor = QColor.fromHsl( [0, 240][i == j], 160, 255 if _isinvalid(col_val) else int(255 - 30 * col_val)) item.setData(QBrush(bkcolor), Qt.BackgroundRole) item.setData("trbl", BorderRole) item.setToolTip("actual: {}\npredicted: {}".format( self.headers[i], self.headers[j])) item.setTextAlignment(Qt.AlignRight | Qt.AlignVCenter) item.setFlags(Qt.ItemIsEnabled | Qt.ItemIsSelectable) self._set_item(i + 2, j + 2, item) bold_font = self.tablemodel.invisibleRootItem().font() bold_font.setBold(True) def _sum_item(value, border=""): item = QStandardItem() item.setData(value, Qt.DisplayRole) item.setTextAlignment(Qt.AlignRight | Qt.AlignVCenter) item.setFlags(Qt.ItemIsEnabled) item.setFont(bold_font) item.setData(border, BorderRole) item.setData(QColor(192, 192, 192), BorderColorRole) return item for i in range(n): self._set_item(n + 2, i + 2, _sum_item(int(colsum[i]), "t")) self._set_item(i + 2, n + 2, _sum_item(int(rowsum[i]), "l")) self._set_item(n + 2, n + 2, _sum_item(int(rowsum.sum())))