def _post_init(PD, Options={}):
# --- Perform data manipulation on the fly
#print(Options)
keys = Options.keys()
if 'RemoveOutliers' in keys:
if Options['RemoveOutliers']:
from pydatview.tools.signal import reject_outliers
try:
PD.x, PD.y = reject_outliers(
PD.y, PD.x, m=Options['OutliersMedianDeviation'])
except:
raise Exception(
'Warn: Outlier removal failed. Desactivate it or use a different signal. '
)
if 'Filter' in keys:
if Options['Filter']:
from pydatview.tools.signal import applyFilter
PD.y = applyFilter(PD.x, PD.y, Options['Filter'])
if 'Sampler' in keys:
if Options['Sampler']:
from pydatview.tools.signal import applySampler
PD.x, PD.y = applySampler(PD.x, PD.y, Options['Sampler'])
# --- Store stats
n = len(PD.y)
if n > 1000:
if (PD.xIsString):
raise Exception(
'Error: x values contain more than 1000 string. This is not suitable for plotting.\n\nPlease select another column for table: {}\nProblematic column: {}\n'
.format(PD.st, PD.sx))
if (PD.yIsString):
raise Exception(
'Error: y values contain more than 1000 string. This is not suitable for plotting.\n\nPlease select another column for table: {}\nProblematic column: {}\n'
.format(PD.st, PD.sy))
PD.needChineseFont = has_chinese_char(PD.sy) or has_chinese_char(PD.sx)
# Stats of the raw data (computed once and for all, since it can be expensive for large dataset
PD.computeRange()
# Store the values of the original data (labelled "0"), since the data might be modified later by PDF or MinMax etc.
PD._y0Min = PD._yMin
PD._y0Max = PD._yMax
PD._x0Min = PD._xMin
PD._x0Max = PD._xMax
PD._y0Std = PD.yStd()
PD._y0Mean = PD.yMean()
PD._n0 = (n, '{:d}'.format(n))
PD.x0 = PD.x
PD.y0 = PD.y
def onPlot(self, event=None):
from pydatview.tools.signal import applySampler
if len(self.parent.plotData) != 1:
Error(self,
'Plotting only works for a single plot. Plot less data.')
return
opts = self._GUI2Data()
PD = self.parent.plotData[0]
x_new, y_new = applySampler(PD.x0, PD.y0, opts)
ax = self.parent.fig.axes[0]
PD_new = PlotData()
PD_new.fromXY(x_new, y_new)
self.parent.transformPlotData(PD_new)
ax.plot(PD_new.x, PD_new.y, '-')
self.setCurrentX(x_new)
self.parent.canvas.draw()