def visualize(self, obj, **kwargs):
prot = obj
f1 = genfromtxt(prot._getExtraPath('f1.txt'))
f2 = genfromtxt(prot._getExtraPath('f2.txt'))
plotter = EmPlotter(style='seaborn-whitegrid')
plotter.createSubPlot("Histogram of f1", "f1", "Count")
plotter.plotHist(f1[~isnan(f1)], 50)
plotter.show()
plotter = EmPlotter(style='seaborn-whitegrid')
plotter.createSubPlot("Histogram of f2", "f2", "Count")
plotter.plotHist(f2[~isnan(f2)], 50)
plotter.show()
def visualize(self, obj, **kwargs):
prot = obj
fn = prot._getExtraPath('D11.txt')
if os.path.exists(fn):
D11 = genfromtxt(fn)
plotter = EmPlotter(style='seaborn-whitegrid')
plotter.createSubPlot("Histogram of D11", "D11", "Count")
plotter.plotHist(D11[~isnan(D11)], 50)
plotter.show()
fn = prot._getExtraPath('D12.txt')
if os.path.exists(fn):
D12 = genfromtxt(fn)
plotter = EmPlotter(style='seaborn-whitegrid')
plotter.createSubPlot("Histogram of D12", "D12", "Count")
plotter.plotHist(D12[~isnan(D12)], 50)
plotter.show()
def visualize(self, obj, **kwargs):
prot = obj
auc = np.genfromtxt(prot._getExtraPath('errorAUC.txt'))
cmax = np.genfromtxt(prot._getExtraPath('errorCmax.txt'))
plotter = EmPlotter(style='seaborn-whitegrid')
plotter.createSubPlot("Histogram of error AUC0t", "Error AUC0t", "Count")
plotter.plotHist(auc[~np.isnan(auc)], 50)
plotter.show()
plotter = EmPlotter(style='seaborn-whitegrid')
plotter.createSubPlot("Histogram of error Cmax", "Error Cmax", "Count")
plotter.plotHist(cmax[~np.isnan(cmax)], 50)
plotter.show()
sortedTimeTrue, Ytrue = self.getSummary(prot.inputExperiment.get().fnPKPD)
sortedTimeSimulated, Ysimulated = self.getSummary(prot.inputSimulated.get().fnPKPD)
plotter = EmPlotter(style='seaborn-whitegrid')
ax = plotter.createSubPlot("Summary Plot", self.timeVarName, self.CVarName)
ax.plot(sortedTimeTrue, Ytrue[:, 0], 'r--', label="Minimum In-vivo", linewidth=2)
ax.plot(sortedTimeTrue, Ytrue[:, 1], 'b--', label="25% In-vivo", linewidth=2)
ax.plot(sortedTimeTrue, Ytrue[:, 2], 'g', label="50% (Median) In-vivo", linewidth=2)
ax.plot(sortedTimeTrue, Ytrue[:, 3], 'b--', label="75% In-vivo", linewidth=2)
ax.plot(sortedTimeTrue, Ytrue[:, 4], 'r--', label="Maximum In-vivo", linewidth=2)
ax.plot(sortedTimeSimulated, Ysimulated[:, 0], 'r--', label="Minimum Simulated")
ax.plot(sortedTimeSimulated, Ysimulated[:, 1], 'b--', label="25% Simulated")
ax.plot(sortedTimeSimulated, Ysimulated[:, 2], 'g', label="50% (Median) Simulated")
ax.plot(sortedTimeSimulated, Ysimulated[:, 3], 'b--', label="75% Simulated")
ax.plot(sortedTimeSimulated, Ysimulated[:, 4], 'r--', label="Maximum Simulated")
ax.grid(True)
ax.legend()
plotter.show()
plotter = EmPlotter(style='seaborn-whitegrid')
ax = plotter.createSubPlot("Mean Plot", self.timeVarName, self.CVarName)
ax.plot(sortedTimeTrue, Ytrue[:, 2], 'g', label="50% (Median) In-vivo", linewidth=2)
ax.plot(sortedTimeSimulated, Ysimulated[:, 2], 'g', label="50% (Median) Simulated")
ax.grid(True)
ax.legend()
plotter.show()
def _onPlotClick(self, e=None):
selection = self.tree.selection()
n = len(selection)
if n < 1 or n > 2:
self.showError("Select one or two variables to plot.")
else:
plotter = EmPlotter(style='seaborn-whitegrid')
varX = self._variables[selection[0]]
xValues = self.observations[:, varX.index]
def _label(var):
return "%s [%s]" % (var.varName, var.unitStr)
if n == 1:
plotter.createSubPlot("Histogram", _label(varX), "Count")
plotter.plotHist(xValues, 50)
else: # n == 2
varY = self._variables[selection[1]]
yValues = self.observations[:, varY.index]
ax = plotter.createSubPlot("Scatter Plot", _label(varX),
_label(varY))
ax.plot(xValues, yValues, '.')
plotter.show()