def errorbars(self, _files, _key, **kwargs):
pt = PlotTool(kwargs)
for file in _files:
csv = CSV(file)
y = csv.getNumericColumnWithKey(_key)
yStd = csv.getNumericColumnWithKey(_key + "_std")
x = np.arange(1, len(csv.data) + 1) * 100
plt.errorbar(x, y, yerr=yStd, capsize=7)
pt.finalize(kwargs)
def scatter(self, _files, _keyX, _keyY, **kwargs):
pt = PlotTool(kwargs)
for file in _files:
csv = CSV(file)
X = csv.getNumericColumnWithKey(_keyX)
Y = csv.getNumericColumnWithKey(_keyY)
plt.scatter(X, Y, marker="*", c="blue")
pt.finalize(kwargs)
def boxplots(self, _files, _key, _xTickLabels, **kwargs):
Y = []
for file in _files:
csv = CSV(file)
y = csv.getNumericColumnWithKey(_key)
Y.append(y)
pt = PlotTool(kwargs)
pt.boxplot(Y, _xTickLabels)
pt.finalize(kwargs)
def readAsMatrix(self, _file, _key, _sX, _sY):
csv = CSV(_file)
M = np.zeros((_sY, _sX))
Y = csv.getNumericColumnWithKey(_key)
for x in range(_sX):
for y in range(_sY):
v = Y[x * _sY + y]
if v == -1:
v = None
M[y][x] = v
return M