def totalComming(res,plotFileName='TotalCommingAllGroups.svg'):
data = dict()
plotName = []
for roc in res:
data[roc[0]] = roc[1]
cairoplot.pie_plot(plotFileName, data, 1920, 1080)
print "wrote",plotFileName
def totalComming(res, plotFileName='TotalCommingAllGroups.svg'):
data = dict()
plotName = []
for roc in res:
data[roc[0]] = roc[1]
cairoplot.pie_plot(plotFileName, data, 1920, 1080)
print "wrote", plotFileName
def MakeGraphPercent(self, Data, FileName): """ Funzione che produce un grafico percentuale sotto forma di pieplot. :param Data: Dato da dover graficare. :param FileName: Nome file da assegnare al grafico prodotto. :returns: *nulla* """ global Interval Labels = ["%IN USO","TOT"] FileName = 'extra/MonitorGraph/'+FileName #print "**Data Graph**" #print Data #selezione della combinazione di colori per i grafici percentuali, a soglie [0,33],[34,66],[67,100] if (Data <= 33): PercentColors = ["lime","gray"] elif (Data <= 66): PercentColors = ["yellow","light_gray"] else : PercentColors = ["red","white"] Data = [int(Data),100-int(Data)] #ogni volta cerca di acquisire il lock per creare una nuova immagine, se non riesce, rompe il lock TempLock = FileLock(FileName) try: TempLock.acquire(timeout=Interval) except LockTimeout: TempLock.break_lock() else: cairoplot.pie_plot(FileName, dict(zip(Labels,Data)), 185, 130, colors = PercentColors) TempLock.release()
def groupPieWorker(name,data,groupStats='Statistics.svg'):
plotFileName = name + groupStats
colors = [colorRed, colorYellow , colorGreen]
cairoplot.pie_plot(plotFileName, data, 1920, 1080,colors = colors)
print "wrote",plotFileName
#Stack horizontal
data = Series([ [6, 4, 10], [8, 9, 3], [1, 10, 9], [2, 7, 11] ])
colors = [ (1,0.2,0), (1,0.7,0), (1,1,0) ]
y_labels = ["teste1", "teste2", "testegrande3", "testegrande4"]
cairoplot.horizontal_bar_plot ( 'hbar_10_stack_series.png', data, 400, 300, border = 20, display_values = True, grid = True, rounded_corners = True, stack = True,
y_labels = y_labels, colors = colors )
if test_pie_plot :
#Define a new backgrond
background = cairo.LinearGradient(300, 0, 300, 400)
background.add_color_stop_rgb(0.0,0.7,0.0,0.0)
background.add_color_stop_rgb(1.0,0.3,0.0,0.0)
#Plot data
data = {"orcs" : 100, "goblins" : 230, "elves" : 50 , "demons" : 43, "humans" : 332}
cairoplot.pie_plot( "pie_1_default_series.png", data, 600, 400 )
cairoplot.pie_plot( "pie_2_gradient_shadow_series.png", data, 600, 400, gradient = True, shadow = True )
cairoplot.pie_plot( "pie_3_background_series.png", data, 600, 400, background = background, gradient = True, shadow = True )
if test_donut_plot :
#Define a new backgrond
background = cairo.LinearGradient(300, 0, 300, 400)
background.add_color_stop_rgb(0,0.4,0.4,0.4)
background.add_color_stop_rgb(1.0,0.1,0.1,0.1)
data = {"john" : 700, "mary" : 100, "philip" : 100 , "suzy" : 50, "yman" : 50}
#Default plot, gradient and shadow, different background
cairoplot.donut_plot( "donut_1_default_series.png", data, 600, 400, inner_radius = 0.3 )
cairoplot.donut_plot( "donut_2_gradient_shadow_series.png", data, 600, 400, gradient = True, shadow = True, inner_radius = 0.3 )
cairoplot.donut_plot( "donut_3_background_series.png", data, 600, 400, background = background, gradient = True, shadow = True, inner_radius = 0.3 )
#Stack horizontal
data = [ [6, 4, 10], [8, 9, 3], [1, 10, 9], [2, 7, 11] ]
colors = [ (1,0.2,0), (1,0.7,0), (1,1,0) ]
y_labels = ["teste1", "teste2", "testegrande3", "testegrande4"]
cairoplot.horizontal_bar_plot ( 'hbar_10_stack.svg', data, 400, 300, border = 20, display_values = True, grid = True, rounded_corners = True, stack = True,
y_labels = y_labels, colors = colors )
if test_pie_plot :
#Define a new backgrond
background = cairo.LinearGradient(300, 0, 300, 400)
background.add_color_stop_rgb(0.0,0.7,0.0,0.0)
background.add_color_stop_rgb(1.0,0.3,0.0,0.0)
#Plot data
data = {"orcs" : 100, "goblins" : 230, "elves" : 50 , "demons" : 43, "humans" : 332}
cairoplot.pie_plot( "pie_1_default.svg", data, 600, 400 )
cairoplot.pie_plot( "pie_2_gradient_shadow.svg", data, 600, 400, gradient = True, shadow = True )
cairoplot.pie_plot( "pie_3_background.svg", data, 600, 400, background = background, gradient = True, shadow = True )
if test_donut_plot :
#Define a new backgrond
background = cairo.LinearGradient(300, 0, 300, 400)
background.add_color_stop_rgb(0,0.4,0.4,0.4)
background.add_color_stop_rgb(1.0,0.1,0.1,0.1)
data = {"john" : 700, "mary" : 100, "philip" : 100 , "suzy" : 50, "yman" : 50}
#Default plot, gradient and shadow, different background
cairoplot.donut_plot( "donut_1_default.svg", data, 600, 400, inner_radius = 0.3 )
cairoplot.donut_plot( "donut_2_gradient_shadow.svg", data, 600, 400, gradient = True, shadow = True, inner_radius = 0.3 )
cairoplot.donut_plot( "donut_3_background.svg", data, 600, 400, background = background, gradient = True, shadow = True, inner_radius = 0.3 )
def groupPieWorker(name, data, groupStats='Statistics.svg'):
plotFileName = name + groupStats
colors = [colorRed, colorYellow, colorGreen]
cairoplot.pie_plot(plotFileName, data, 1920, 1080, colors=colors)
print "wrote", plotFileName
latency += 1
## Sleep efficiency determination and annotation of the classified dataset
efficiency = N.sum(count)/N.size(count)
labels = 'Sleep', 'Wake'
fracs = [efficiency, 1-efficiency]
## Report string for sleep efficiency (SE) and sleep onset latency (SOL)
report = 'SE: ' + str(100*efficiency) + '; SOL: ' + str(latency) + ' minutes'
## Use cairoplot to generate some quick plots of the sleep data
background=cairo.LinearGradient(300,0,300,400)
background.add_color_stop_rgb(0.0, .54, .54, .54)
background.add_color_stop_rgb(1.0, .24, .24, .24)
data = {"SLEEP": float(efficiency) , "WAKE": float(1-efficiency)}
print("Efficiency: " + str(efficiency) + " and ~Eff: " + str(1-efficiency))
cairoplot.pie_plot("SleepEfficiency.png", data, 400, 400, gradient=True, shadow=True, background=background)
users={ "none": user, "none2":[0],"sleep": [0]}
cairoplot.dot_line_plot("SleepWake.png", users, 400, 400, axis=True, grid=True, y_title='Sleep=1; Wake=0', x_title=report, y_bounds=(0,1.11), background=background)
#py.figure(1, figsize=(6,6))
#ax = py.axes([0.1, 0.1, 0.8, 0.8])
#py.pie(fracs, labels=labels, autopct='%1.1f%%', shadow=True)
#py.title('Sleep Efficiency with ' + report)
#py.axis([0,N.size(user), 0, 1.2])
#py.grid(True)
#py.show()
#classifier(e)
if test_pie_plot:
#Define a new backgrond
background = cairo.LinearGradient(300, 0, 300, 400)
background.add_color_stop_rgb(0.0, 0.7, 0.0, 0.0)
background.add_color_stop_rgb(1.0, 0.3, 0.0, 0.0)
#Plot data
data = {
"orcs": 100,
"goblins": 230,
"elves": 50,
"demons": 43,
"humans": 332
}
cairoplot.pie_plot("pie_1_default.svg", data, 600, 400)
cairoplot.pie_plot("pie_2_gradient_shadow.svg",
data,
600,
400,
gradient=True,
shadow=True)
cairoplot.pie_plot("pie_3_background.svg",
data,
600,
400,
background=background,
gradient=True,
shadow=True)
if test_donut_plot:
except AttributeError:
#print("Found no EXIF header... Skipping picture %s"%full_file)
print(".")
print("Cameras: %s\n"%camera_dict)
print("Apertures: %s\n"%aperture_dict)
print("Exposures: %s\n"%exposure_dict)
print("Focallength: %s\n"%focallength_dict)
print("ISOs: %s\n"%iso_dict)
print("Years: %s\n"%year_dict)
print("Month: %s\n"%month_dict)
print("Day: %s\n"%day_dict)
write_csv_from_dict(camera_dict, "cameras.csv")
write_csv_from_dict(iso_dict, "iso.csv")
#Define a new backgrond
background = cairo.LinearGradient(300, 0, 300, 400)
background.add_color_stop_rgb(0.0,0.0,0.0,0.0)
background.add_color_stop_rgb(0.7,0.7,0.7,0.7)
cairoplot.pie_plot("cameras", camera_dict, 700, 700, background = background, gradient = True, shadow = True)
cairoplot.pie_plot("apertures", aperture_dict, 500, 500, background = background, gradient = True, shadow = True)
cairoplot.pie_plot("exposures", exposure_dict, 500, 500, background = background, gradient = True, shadow = True)
cairoplot.pie_plot("focallength", focallength_dict, 500, 500, background = background, gradient = True, shadow = True)
cairoplot.pie_plot("iso", iso_dict, 500, 500, background = background, gradient = True, shadow = True)
cairoplot.pie_plot("day", day_dict, 500, 500, background = background, gradient = True, shadow = True)
cairoplot.pie_plot("year", year_dict, 500, 500, background = background, gradient = True, shadow = True)
cairoplot.pie_plot("month", month_dict, 500, 500, background = background, gradient = True, shadow = True)
print("Years: %s\n" % year_dict)
print("Month: %s\n" % month_dict)
print("Day: %s\n" % day_dict)
write_csv_from_dict(camera_dict, "cameras.csv")
write_csv_from_dict(iso_dict, "iso.csv")
#Define a new backgrond
background = cairo.LinearGradient(300, 0, 300, 400)
background.add_color_stop_rgb(0.0, 0.0, 0.0, 0.0)
background.add_color_stop_rgb(0.7, 0.7, 0.7, 0.7)
cairoplot.pie_plot("cameras",
camera_dict,
700,
700,
background=background,
gradient=True,
shadow=True)
cairoplot.pie_plot("apertures",
aperture_dict,
500,
500,
background=background,
gradient=True,
shadow=True)
cairoplot.pie_plot("exposures",
exposure_dict,
500,
500,
background=background,