def __init__(self, automations):
# Create the frame
frame = JFrame("Automation Viewer")
frame.setSize(500, 300)
frame.setLayout(BorderLayout())
series = AutomationSeries
# Finalize the window
frame.setDefaultCloseOperation(WindowConstants.DISPOSE_ON_CLOSE)
frame.setVisible(True)
# Create an XY dataset
dataset = XYSeriesCollection()
for autoname in automations:
automation = ModbusPal.getAutomation(autoname)
series = AutomationSeries(automation)
dataset.addSeries(series)
frame.addWindowListener(series)
# Create chart
chart = ChartFactory.createXYLineChart("Automation Viewer",
"Time (seconds)", "Value",
dataset,
PlotOrientation.VERTICAL,
Boolean.TRUE, Boolean.TRUE,
Boolean.FALSE)
panel = ChartPanel(chart)
# Add chart to panel
frame.add(panel, BorderLayout.CENTER)
def curve(data, name="", smooth=True, trid=True):
"""
Creates a curve based on a list of (x,y) tuples.
Setting *smooth* to ``True`` results in a spline renderer renderer is used.
Setting *trid* to ``True`` results in a 3D plot. In this case the ``smooth``
argument is ignored.
"""
dataset = XYSeriesCollection()
xy = XYSeries(name)
for d in data:
xy.add(d[0], d[1])
dataset.addSeries(xy)
chart = ChartFactory.createXYLineChart(None, None, None, dataset,
PlotOrientation.VERTICAL, True,
True, False)
if smooth:
chart.getXYPlot().setRenderer(XYSplineRenderer())
if trid:
chart.getXYPlot().setRenderer(XYLine3DRenderer())
return Chart(chart)
def createChart(self):
dataset = XYSeriesCollection()
for s in self.allSeries:
dataset.addSeries(s)
# title is None
chart = ChartFactory.createXYLineChart( \
None, xlabel(), ylabel(), \
dataset, PlotOrientation.VERTICAL, \
True, True, False)
return chart
def createChart(self):
dataset = XYSeriesCollection()
for s in self.allSeries:
dataset.addSeries(s)
# title is None
chart = ChartFactory.createXYLineChart( \
None, xlabel(), ylabel(), \
dataset, PlotOrientation.VERTICAL, \
True, True, False)
return chart
def _createChart(self):
self.chart = ChartFactory.createXYLineChart(
self.getTitle(), # chart title
self.getXAxisLabel(), # x axis label
self.getYAxisLabel(), # y axis label
self.dataSets[0], # data (primary)
PlotOrientation.VERTICAL,
True, # include legend
False, # tooltips
False # urls
)
def plot(title, x_label, y_label, *curves):
dataset = XYSeriesCollection()
for legend, curve in curves:
series = XYSeries(legend)
for x, y in curve:
series.add(x, y)
dataset.addSeries(series)
chart = ChartFactory.createXYLineChart(title, x_label, y_label, dataset,
PlotOrientation.VERTICAL, True,
True, False)
frame = ChartFrame(title, chart)
frame.setVisible(True)
frame.setSize(400, 300)
def _createEmptyChart(self, dataset = None):
chart = ChartFactory.createXYLineChart(
self.title, # chart title
"He", # x axis label
"Fst", # y axis label
dataset, # data
PlotOrientation.VERTICAL,
True, # include legend
True, # tooltips
False # urls
)
chart.setBackgroundPaint(Color.white)
# get a reference to the plot for further customisation...
# change the auto tick unit selection to integer units only...
#rangeAxis = plot.getRangeAxis()
#rangeAxis.setStandardTickUnits(NumberAxis.createIntegerTickUnits())
self.confArea = None
return chart
def graphArbitraryData(data,title=""):
''' Creates a line graph of arbitrary data (as opposed to the rather specific format used by graph()). Pass in a
list of datapoints, each consisting of a 3-part tuple: (x,y,category). If you're only graphing one sort of
data (ie you want a graph with one line), you can pass in any constant for category.
Example (one category):
data = []
for i in range(10):
data.append((i,i*i,0))
graphArbitraryData(data)
Example (multiple categories):
data = []
for i in range(30):
data.append((i,i*i,"squared"))
data.append((i,i*i*i,"cubed"))
graphArbitraryData(data)
'''
from org.jfree.data.category import DefaultCategoryDataset
from org.jfree.chart import ChartFactory, ChartFrame, ChartPanel
from org.jfree.chart.plot import PlotOrientation
from org.jfree.data.xy import XYSeriesCollection, XYSeries
datasets = {} # dict of all series
# First, create the individual series from the data
for item in data:
seriesname = str(item[2])
if seriesname not in datasets:
datasets[seriesname] = XYSeries(seriesname)
datasets[seriesname].add(float(item[0]), float(item[1]));
# Second, add those series to a collection
datasetcollection = XYSeriesCollection()
for key in datasets:
datasetcollection.addSeries(datasets[key])
chart = ChartFactory.createXYLineChart("","","",datasetcollection,PlotOrientation.VERTICAL,True,True,False)
frame = ChartFrame(title, chart);
frame.pack();
frame.setVisible(True);
panel = ChartPanel(chart)
return chart.getPlot()
def _createEmptyChart(self, dataset=None):
if self.isTemporal:
hText = "Hs"
fText = "Fgt"
else:
hText = "He"
fText = "Fst"
chart = ChartFactory.createXYLineChart(
self.title, # chart title
hText, # x axis label
fText, # y axis label
dataset, # data
PlotOrientation.VERTICAL,
True, # include legend
True, # tooltips
False # urls
)
chart.setBackgroundPaint(Color.white)
# get a reference to the plot for further customisation...
# change the auto tick unit selection to integer units only...
#rangeAxis = plot.getRangeAxis()
#rangeAxis.setStandardTickUnits(NumberAxis.createIntegerTickUnits())
self.confArea = None
return chart
def curve(data, name="", smooth=True, trid=True):
"""
Creates a curve based on a list of (x,y) tuples.
Setting *smooth* to ``True`` results in a spline renderer renderer is used.
Setting *trid* to ``True`` results in a 3D plot. In this case the ``smooth``
argument is ignored.
"""
dataset = XYSeriesCollection()
xy = XYSeries(name);
for d in data:
xy.add(d[0], d[1])
dataset.addSeries(xy);
chart = ChartFactory.createXYLineChart(None, None, None, dataset,
PlotOrientation.VERTICAL, True, True, False)
if smooth:
chart.getXYPlot().setRenderer(XYSplineRenderer())
if trid:
chart.getXYPlot().setRenderer(XYLine3DRenderer())
return Chart(chart)
