def recommend(self, howMany):
userKnownLanguages = {}
for button in self.buttons:
if(button.clicked == True):
if button.t not in userKnownLanguages:
userKnownLanguages[button.t] = 1
topicOfChoice = ""
# Grab the topic the user selected
try:
index = self.listbox.curselection()[0]
topicOfChoice = self.listbox.get(index)
except IndexError:
pass
nearestCluster = classifier.nearest(userKnownLanguages, self.indexByTopic)
for frame in self.frames:
frame.pack_forget()
self.displayRecommendations(topicOfChoice, userKnownLanguages)
data = classifier.difference(self.indexByTopic[nearestCluster]['languages'], userKnownLanguages)
labels,d1 =zip(*data)
d = Drawing(300,200)
chart = VerticalBarChart()
chart.width = 260
chart.height = 160
chart.x = 20
chart.y = 10
chart.data = [d1]
chart.categoryAxis.categoryNames = labels
d.add(chart)
d.save(formats=['pdf'],outDir='.',fnRoot='graph')
os.system('open graph.pdf')
def draw_bar_chart(pdf_text, page_height):
'''Currently generates a dummy graph.
Next, need to pass in data that shall
be the reactors temp throughout the
sequence.
'''
pdf_text.showPage()
drawing = Drawing(400, 200)
data = [
(13, 5, 20, 22, 37, 45, 19, 4),
(14, 6, 21, 23, 38, 46, 20, 5)
]
bc = VerticalBarChart()
bc.x = 50
bc.y = 50
bc.height = 125
bc.width = 300
bc.data = data
bc.strokeColor = colors.black
bc.valueAxis.valueMin = 0
bc.valueAxis.valueMax = 50
bc.valueAxis.valueStep = 10
bc.categoryAxis.labels.boxAnchor = 'ne'
bc.categoryAxis.labels.dx = 8
bc.categoryAxis.labels.dy = -2
bc.categoryAxis.labels.angle = 30
bc.categoryAxis.categoryNames = ['Jan-99','Feb-99','Mar-99','Apr-99','May-99','Jun-99','Jul-99','Aug-99']
drawing.add(bc)
renderPDF.draw(drawing, pdf_text, inch, inch)
return page_height
def conversion_chart(data, labels):
"""Create chart that can be drawn as a gif with given data/labels"""
drawing = Drawing(500, 400)
bc = VerticalBarChart()
bc.x = 80
bc.y = 80
bc.height = 290
bc.width = 390
bc.data = data
bc.valueAxis.valueMin = 0
bc.valueAxis.valueMax = 100
bc.valueAxis.valueStep = 10
bc.valueAxis.labelTextFormat = '%2.2f'
bc.barLabels.fontSize = 15
bc.barLabelFormat = '%2.2f'
bc.barLabels.boxAnchor = 's'
bc.categoryAxis.labels.boxAnchor = 'ne'
bc.categoryAxis.labels.dx = 8
bc.categoryAxis.labels.dy = 2
bc.categoryAxis.labels.angle = 30
bc.categoryAxis.categoryNames = labels
drawing.add(bc)
return drawing
def vertical_bar_chart_draw(self, values, days, llabels):
d = Drawing(0, 170)
# chart
bc = VerticalBarChart()
# set width and height
bc.height = 125
bc.width = 470
# set data
bc.data = values
# set distance between bars elements
bc.barSpacing = 0.5
# set labels position under the x axe
bc.categoryAxis.labels.dx = 8
bc.categoryAxis.labels.dy = -2
# set name displayed for x axe
bc.categoryAxis.categoryNames = days
# set label format for each bar
bc.barLabelFormat = '%d'
# set distance between top of bar and it's label
bc.barLabels.nudge = 7
# set some charactestics for the Y axe
bc.valueAxis.labelTextFormat = '%d km/h'
bc.valueAxis.valueMin = 0
d.add(self.title_draw(250, 190, _('Wind speed statistics')))
d.add(bc)
d.add(self.legend_draw(llabels, bc, x=480, y=165, boxAnchor='ne',
columnMaximum=1, type='bar'))
# d.add(bcl)
return d
def print_chunks_chart(self):
nChunks = len(self.filechunks)
d = Drawing(400, 140)
traffic_MB = [n/(1024*1024) for n in self.traffic]
data = [traffic_MB]
bc = VerticalBarChart()
## bc.x = 0
## bc.y = 10
bc.height = 100
bc.width = 370
bc.data = data
bc.categoryAxis.tickUp = 0.5
bc.categoryAxis.tickDown = 1.5
bc.categoryAxis.categoryNames = []
for n in range(nChunks):
if n%5 == 0:
bc.categoryAxis.categoryNames.append( str(n) )
else:
bc.categoryAxis.categoryNames.append('')
bc.bars.strokeWidth = 0.3
bc.valueAxis.labels.fontSize = 6
bc.categoryAxis.labels.fontSize = 6
bc.bars[0].fillColor = colors.lightblue
bc.valueAxis.valueMin = 0
d.add(bc)
drawing = GraphicsDrawing(d, 'Traffic per chunk in MB')
self.story.append(drawing)
self.story.append(Spacer(0.01,1.0*cm))
def sample1bar(data=[(13, 5, 20, 22, 37, 45, 19, 4)]):
drawing = Drawing(400, 200)
bc = VerticalBarChart()
bc.x = 50
bc.y = 50
bc.height = 125
bc.width = 300
bc.data = data
bc.strokeColor = colors.black
bc.valueAxis.valueMin = 0
bc.valueAxis.valueMax = 60
bc.valueAxis.valueStep = 15
bc.categoryAxis.labels.boxAnchor = 'ne'
bc.categoryAxis.labels.dx = 8
bc.categoryAxis.labels.dy = -2
bc.categoryAxis.labels.angle = 30
catNames = string.split('Jan Feb Mar Apr May Jun Jul Aug', ' ')
catNames = map(lambda n:n+'-99', catNames)
bc.categoryAxis.categoryNames = catNames
drawing.add(bc)
return drawing
def createReadsHistogram(self):
'''
Routine to create histogram of numbers of 'reads' for given years
'''
# The vertical bar chart will get added to the 'drawing' object
drawing = Drawing(400, 200)
# Now we can start constructing the vertical bar chart
lc = VerticalBarChart()
lc.x = 30
lc.y = 50
lc.height = 125
lc.width = 350
# Record the years, because these values will be used as x axis labels
years = sorted(map(lambda b: int(b), filter(lambda a: a.isdigit(), self.data['reads histogram'].keys())))
# This list will hold the data points for the histogram
lc.data = []
# Record the counts of both reads of refereed and non-refereed papers
refereed = []
non_refereed = []
# The maximum number of reads will be used to scale the y axis
max_reads = 0
# Take only the first two values of each value string in the histogram data
# The first is for 'all' papers, the second for the 'refereed' papers
for year in years:
values = map(lambda a: int(a),self.data['reads histogram'][str(year)].split(':')[:2])
max_reads = max(max_reads,max(values))
refereed.append(values[1])
non_refereed.append(values[0]-values[1])
lc.data.append(refereed)
lc.data.append(non_refereed)
# Proper label placement for years: shift by (-6, -6) in x and y to have labels positioned properly
lc.categoryAxis.labels.dx = -6
lc.categoryAxis.labels.dy = -6
# and rotate the labels by 90 degrees
lc.categoryAxis.labels.angle = 90
# Define the value step and maximum for the y axis
lc.valueAxis.valueMax = int(math.ceil(float(max_reads)/10.0))*10
lc.valueAxis.valueStep = max(int(math.floor(float(max_reads)/10.0)),1)
lc.valueAxis.valueMin = 0
# The label names are the access years
lc.categoryAxis.categoryNames = map(lambda a: str(a), years)
# Now add the histogram to the 'drawing' object
drawing.add(lc)
# Add a legend to the histogram so that we now which color means what
legend = Legend()
legend.alignment = 'right'
legend.x = 380
legend.y = 160
legend.deltax = 60
legend.dxTextSpace = 10
items = [(colors.red, 'refereed'), (colors.green, 'non-refereed')]
legend.colorNamePairs = items
drawing.add(legend, 'legend')
# Finally add a title to the histogram
drawing.add(String(200,190,"reads histogram", textAnchor="middle", fillColor='blue'))
# Append the result to the 'story'
self.story.append(drawing)
def generateversionchart((versionpickle, picklehash, imagedir, pickledir)): datapickle = open(os.path.join(pickledir, versionpickle), 'rb') data = cPickle.load(datapickle) datapickle.close() ## calculate the possible widths and heights of chart, bars, labels and so on maxversionstring = max(map(lambda x: len(x[0]), data)) barwidth = 15 chartwidth = len(data) * barwidth + 10 * len(data) maxvalue = max(map(lambda x: x[1], data)) step = int(math.log(maxvalue,10)) valueStep = pow(10,step) ## calculate a possible good value for startx and starty so labels are not cut off startx = max(10 + step * 10, 30) ## TODO: fiddle with values to create nicer looking graphs starty = maxversionstring * 10 + 20 drawheight = 225 + starty drawwidth = chartwidth + startx + 10 ## create the drawing drawing = Drawing(drawwidth, drawheight) bc = VerticalBarChart() bc.x = startx bc.y = starty bc.height = 200 bc.width = chartwidth bc.data = [tuple(map(lambda x: x[1], data))] bc.strokeColor = colors.white bc.valueAxis.valueMin = 0 bc.valueAxis.labels.fontSize = 16 bc.valueAxis.valueMax = maxvalue bc.valueAxis.valueStep = valueStep bc.categoryAxis.labels.boxAnchor = 'w' bc.categoryAxis.labels.dx = 0 bc.categoryAxis.labels.dy = -2 bc.categoryAxis.labels.angle = -90 bc.categoryAxis.labels.fontSize = 16 bc.categoryAxis.categoryNames = map(lambda x: x[0], data) bc.barWidth = barwidth drawing.add(bc) outname = os.path.join(imagedir, picklehash) renderPM.drawToFile(drawing, outname, fmt='PNG') return picklehash
def getChart(self):
d = Drawing(300, 200)
chart = VerticalBarChart()
chart.width = 560
chart.height = 460
chart.x = 50
chart.y = 50
chart.height = 125
chart.width = 300
chart.strokeColor = colors.black
chart.valueAxis.valueMin = 0
chart.valueAxis.valueMax = 100
chart.valueAxis.valueStep = 10
chart.categoryAxis.labels.boxAnchor = 'ne'
chart.categoryAxis.labels.dx = 8
chart.categoryAxis.labels.dy = -2
chart.categoryAxis.labels.angle = 0
chart.data = self.marks#self.averages
chart.categoryAxis.categoryNames = self.chartXValues#self.studentNumbers
d.add(chart)
#d.save(fnRoot='test', formats=['png', 'pdf'])
return d
def run(self, include_sub_survey=False, dimensions=[]):
# Build data set
averages = []
category_names = []
for dimension in self.getDimensions():
averages.append(self.get_average_score_for_dimension(
include_sub_survey=include_sub_survey,
dimension=dimension))
category_names.append(dimension)
drawing = Drawing(600, 300)
bc = VerticalBarChart()
bc.x = 20
bc.y = 20
bc.height = 260
bc.width = 580
bc.data = [averages]
bc.categoryAxis.categoryNames = category_names
bc.categoryAxis.labels.fontName = 'Helvetica'
bc.categoryAxis.labels.fontSize = 10
bc.categoryAxis.labels.textAnchor = 'middle'
bc.categoryAxis.visibleTicks = 0
bc.valueAxis.valueMax = 100.0
bc.valueAxis.valueMin = min(averages, 0)
bc.valueAxis.labels.fontName = 'Helvetica'
bc.valueAxis.labels.fontSize = 10
bc.valueAxis.labels.textAnchor = 'middle'
bc.barLabelFormat = '%.0f'
bc.barLabels.dy = 8
bc.barLabels.fontName = 'Helvetica'
bc.barLabels.fontSize = 10
bc.barWidth = len(averages)
bc.fillColor = None
drawing.add(bc)
# Write out
data = drawing.asString('png')
request = self.REQUEST
response = request.RESPONSE
response.setHeader('Content-Type', 'image/png')
response.setHeader('Content-Disposition','inline; filename=%s.png' % self.getId())
response.setHeader('Content-Length', len(data))
response.setHeader('Cache-Control', 's-maxage=0')
return data
def chartBins(bins, filename):
data = []
labels = []
keys = bins.keys()
keys.sort()
for k in keys:
mid = (k[1] + k[0]) / 2.0
labels.append(str(mid))
data.append(len(bins[k]))
maxval = max(data)
data = [tuple(data)]
# now, make the chart
bc = VerticalBarChart()
bc.x = 50
bc.y = 50
bc.height = 500
bc.width = 1100
bc.data = data
bc.valueAxis.valueMin = 0
bc.valueAxis.valueStep = 10
bc.valueAxis.valueMax = maxval + bc.valueAxis.valueStep
bc.categoryAxis.labels.boxAnchor = "n"
# bc.categoryAxis.labels.dx = 8
# bc.categoryAxis.labels.dy = -2
# bc.categoryAxis.labels.angle = 30
new_labels = []
for i, l in enumerate(labels):
if i % 5 == 0:
new_labels.append(l)
else:
new_labels.append("")
# bc.categoryAxis.categoryNames = labels
bc.categoryAxis.categoryNames = new_labels
drawing = Drawing(1200, 600)
drawing.add(bc)
from reportlab.graphics import renderPM
renderPM.drawToFile(drawing, output_filename)
def graphout(statenames, data):
drawing = Drawing(500, 200)
lc = VerticalBarChart()
lc.x = 30
lc.y = 50
lc.height = 125
lc.width = 450
lc.data = data
statenames = statenames
lc.categoryAxis.categoryNames = statenames
lc.categoryAxis.labels.boxAnchor = 'n'
lc.categoryAxis.labels.angle = 270
lc.valueAxis.valueMin = 0
lc.valueAxis.valueMax = 10000000 #1500
lc.valueAxis.valueStep = 1000000 #300
drawing.add(lc)
return drawing
def makeBarChart(self, context, width, height, data):
content = []
drawing = Drawing(width, height)
lp = VerticalBarChart()
lp.x = 0
lp.y = 0
lp.height = height
lp.width = width
lp.data = data
drawing.add(lp)
content.append(drawing)
return content
def test_21_barCharts(self):
from reportlab.lib.styles import getSampleStyleSheet
from reportlab.lib import colors
from reportlab.platypus import SimpleDocTemplate, Spacer, Paragraph
from reportlab.pdfbase import pdfmetrics
from reportlab.graphics.shapes import Drawing
from reportlab.pdfbase.ttfonts import TTFont
from reportlab.graphics.charts.barcharts import VerticalBarChart
pdfmetrics.registerFont(TTFont('chsFont', 'STHeiti Light.ttc'))
stylesheet = getSampleStyleSheet()
elements = []
doc = SimpleDocTemplate("demo.pdf")
elements.append(
Paragraph('<font name="chsFont">JY.zenist.song - 俊毅</font>',
stylesheet['Title']))
elements.append(Spacer(1, 12))
d = Drawing(400, 200)
data = [(13, 5, 20, 22, 37, 45, 19, 4), (14, 6, 21, 23, 38, 46, 20, 5)]
bc = VerticalBarChart()
bc.x = 50
bc.y = 50
bc.height = 125
bc.width = 300
bc.data = data
bc.strokeColor = colors.black
bc.groupSpacing = 10
bc.barSpacing = 2.5
bc.valueAxis._valueMin = 0
bc.valueAxis._valueMax = 50
bc.valueAxis._valueStep = 10
bc.categoryAxis.categoryNames = [
'1', '2', '3', '4', '5', '6', '7', '8'
]
# bc.categoryAxis.style = 'stacked'
d.add(bc)
elements.append(d)
doc.build(elements)
def test_21_barCharts(self):
from reportlab.lib.styles import getSampleStyleSheet
from reportlab.lib import colors
from reportlab.platypus import SimpleDocTemplate, Spacer, Paragraph
from reportlab.pdfbase import pdfmetrics
from reportlab.graphics.shapes import Drawing
from reportlab.pdfbase.ttfonts import TTFont
from reportlab.graphics.charts.barcharts import VerticalBarChart
pdfmetrics.registerFont(TTFont('chsFont', 'STHeiti Light.ttc'))
stylesheet = getSampleStyleSheet()
elements = []
doc = SimpleDocTemplate("demo.pdf")
elements.append(Paragraph('<font name="chsFont">JY.zenist.song - 俊毅</font>', stylesheet['Title']))
elements.append(Spacer(1,12))
d = Drawing(400,200)
data = [
(13,5,20,22,37,45,19,4),
(14,6,21,23,38,46,20,5)
]
bc = VerticalBarChart()
bc.x = 50
bc.y = 50
bc.height = 125
bc.width = 300
bc.data = data
bc.strokeColor = colors.black
bc.groupSpacing = 10
bc.barSpacing = 2.5
bc.valueAxis._valueMin = 0
bc.valueAxis._valueMax = 50
bc.valueAxis._valueStep = 10
bc.categoryAxis.categoryNames = ['1','2','3','4','5','6','7','8']
# bc.categoryAxis.style = 'stacked'
d.add(bc)
elements.append(d)
doc.build(elements)
def draw(self, cur_drawing, start_x, start_y, end_x, end_y):
"""Draw a bar chart with the info in the specified range."""
bar_chart = VerticalBarChart()
if self.chart_title:
self._draw_title(cur_drawing, self.chart_title,
start_x, start_y, end_x, end_y)
# set the position of the bar chart
x_start, x_end, y_start, y_end = self._determine_position(start_x,
start_y,
end_x,
end_y)
bar_chart.x = x_start
bar_chart.y = y_start
bar_chart.width = abs(x_start - x_end)
bar_chart.height = abs(y_start - y_end)
# set the information in the bar chart
bar_chart.data = self.display_info
bar_chart.valueAxis.valueMin = min(self.display_info[0])
bar_chart.valueAxis.valueMax = max(self.display_info[0])
for data_set in self.display_info[1:]:
if min(data_set) < bar_chart.valueAxis.valueMin:
bar_chart.valueAxis.valueMin = min(data_set)
if max(data_set) > bar_chart.valueAxis.valueMax:
bar_chart.valueAxis.valueMax = max(data_set)
# set other formatting options
if len(self.display_info) == 1:
bar_chart.groupSpacing = 0
style = TypedPropertyCollection(BarChartProperties)
style.strokeWidth = 0
style.strokeColor = colors.green
style[0].fillColor = colors.green
bar_chart.bars = style
# set the labels
# XXX labels don't work yet
# bar_chart.valueAxis.title = self.x_axis_title
# bar_chart.categoryAxis.title = self.y_axis_title
cur_drawing.add(bar_chart)
def draw(self, cur_drawing, start_x, start_y, end_x, end_y):
"""Draw a bar chart with the info in the specified range."""
bar_chart = VerticalBarChart()
if self.chart_title:
self._draw_title(cur_drawing, self.chart_title,
start_x, start_y, end_x, end_y)
# set the position of the bar chart
x_start, x_end, y_start, y_end = self._determine_position(start_x,
start_y,
end_x,
end_y)
bar_chart.x = x_start
bar_chart.y = y_start
bar_chart.width = abs(x_start - x_end)
bar_chart.height = abs(y_start - y_end)
# set the information in the bar chart
bar_chart.data = self.display_info
bar_chart.valueAxis.valueMin = min(self.display_info[0])
bar_chart.valueAxis.valueMax = max(self.display_info[0])
for data_set in self.display_info[1:]:
if min(data_set) < bar_chart.valueAxis.valueMin:
bar_chart.valueAxis.valueMin = min(data_set)
if max(data_set) > bar_chart.valueAxis.valueMax:
bar_chart.valueAxis.valueMax = max(data_set)
# set other formatting options
if len(self.display_info) == 1:
bar_chart.groupSpacing = 0
style = TypedPropertyCollection(BarChartProperties)
style.strokeWidth = 0
style.strokeColor = colors.green
style[0].fillColor = colors.green
bar_chart.bars = style
# set the labels
# XXX labels don't work yet
# bar_chart.valueAxis.title = self.x_axis_title
# bar_chart.categoryAxis.title = self.y_axis_title
cur_drawing.add(bar_chart)
def getBarChart(self, x_values, y_values):
"""Gets a bar chart with the given values
Parameters:
self: the class instance
x_values: list - x values for the bar chart
y_values: list of tuples - y values for the bar chart
Returns:
reportlab Vertical Bar Chart - bar chart with inputted values
"""
# Setting up sizing, position and colourings
bc = VerticalBarChart()
bc.x = 50
bc.y = 100
bc.height = 150
bc.width = 350
bc.strokeColor = colors.black
# Setting up axis
bc.valueAxis.valueMin = 0
bc.valueAxis.valueMax = 300
bc.valueAxis.valueStep = 25
# Setting up position and angle of labels
bc.categoryAxis.labels.boxAnchor = 'ne'
bc.categoryAxis.labels.dx = 0
bc.categoryAxis.labels.dy = -2
bc.categoryAxis.labels.angle = 65
# Adding bar labels
bc.barLabelFormat = '%s'
bc.barLabels.nudge = 5
bc.barLabels.boxAnchor = 's'
bc.barLabels.dy = -1
# Changing bar colours
bc.bars[0].fillColor = colors.green
# Adding x and y data to the chart
bc.categoryAxis.categoryNames = x_values
bc.data = y_values
return bc
def create_barchart(barchart_data):
color=[green,red,blue,yellow,black]
data_length=len(barchart_data["data"])
bar_chart = Drawing(400, 200)
bc = VerticalBarChart()
bc.x = 50
bc.y = 50
bc.height = 125
bc.width = 300
bc.data = barchart_data["data"]
bc.fillColor=lightblue
bc.strokeColor = colors.black
bc.valueAxis.valueMin = 0
bc.valueAxis.valueMax = 50
bc.valueAxis.valueStep = 10
bc.categoryAxis.labels.dx = 8
bc.categoryAxis.labels.dy = -2
bc.categoryAxis.labels.angle = 30
bc.categoryAxis.categoryNames = list(barchart_data["label"][0])
for i in xrange(data_length):
bc.bars[i].fillColor = color[i]
bar_chart.add(bc)
###legend####
bar_leg = LineLegend()
bar_leg.boxAnchor = 'sw'
bar_leg.x = 100
bar_leg.y = -1
bar_leg.columnMaximum = 1
bar_leg.yGap = 0
bar_leg.deltax = 50
bar_leg.deltay = 0
bar_leg.dx = 10
bar_leg.dy = 1.5
bar_leg.fontSize = 10
bar_leg.alignment = 'right'
bar_leg.dxTextSpace = 5
bar_leg.colorNamePairs = [(color[i],barchart_data["legend"][0][i]) for i in xrange(data_length)]
bar_chart.add(bar_leg)
return bar_chart
def getPDF(values=[]):
d = Drawing(1700, 900) # image size
chart = VerticalBarChart()
chart.width = 1600
chart.height = 800
chart.x = 110
chart.y = 90
chart.data = [values]
chart.groupSpacing = 10
chart.categoryAxis.labels.angle = 45
chart.valueAxis.labels.fontSize = 18
chart.valueAxis.valueMin = 0
chart.valueAxis.valueMax = getMaxValue(values)
chart.categoryAxis.labels.fontSize = 24
chart.categoryAxis.categoryNames = n_store[1 : len(n_store)]
chart.valueAxis.valueMin = 0
d.add(chart)
d.save(fnRoot="test", formats=["pdf"])
def draw_chart_bar(self, bar_data):
# sort the amounts by the largest
drawing = Drawing(400, 400)
data = [bar_data['amounts']]
bc = VerticalBarChart()
bc.x = 50
bc.y = 10
bc.height = 350
bc.width = 350
bc.data = data
bc.strokeColor = colors.black
bc.valueAxis.valueMin = 0
bc.categoryAxis.labels.boxAnchor = 'ne'
bc.categoryAxis.labels.dx = 8
bc.categoryAxis.labels.dy = -2
bc.categoryAxis.labels.angle = 30
bc.categoryAxis.categoryNames = bar_data['clients']
bc.valueAxis.valueStep = 1000
drawing.add(bc)
renderPDF.draw(drawing, self.pdf, 30 * mm, 100 * mm)
def graphout(prod_catnames, data):
drawing = Drawing(500, 200)
lc = VerticalBarChart()
lc.x = 30
lc.y = 50
lc.height = 125
lc.width = 450
lc.data = data
#prod_catnames = prod_catnames
lc.categoryAxis.categoryNames = prod_catnames
lc.categoryAxis.labels.boxAnchor = 'n'
lc.categoryAxis.labels.angle = 270
lc.valueAxis.valueMin = 0
lc.valueAxis.valueMax = 5000 #1500
lc.valueAxis.valueStep = 1000 #300
#lc.lines[0].strokeWidth = 2
#lc.lines[0].symbol = makeMarker('FilledCircle') # added to make filled circles.
#lc.lines[1].strokeWidth = 1.5
drawing.add(lc)
return drawing
def getVerticalBarChart():
data = [(df2.iloc[i, 38:43])]
chart = VerticalBarChart()
chart.data = data
chart.valueAxis.valueMax = 90
chart.valueAxis.valueMin = 0
chart.valueAxis.valueStep = 10
chart.x = 5
chart.y = 5
chart.height = 100
chart.width = 240
chart.strokeColor = colors.black
chart.fillColor = colors.pink
chart.categoryAxis.categoryNames = ['Q1', 'Q2', 'Q3', 'Q4', 'Q5']
title = String(50, 120, 'Time (sec)', fontSize=14)
drawing = Drawing(240, 120)
drawing.add(title)
drawing.add(chart)
return drawing
def graphout(prod_catnames, data):
drawing = Drawing(500, 200)
lc = VerticalBarChart()
lc.x = 30
lc.y = 50
lc.height = 125
lc.width = 450
lc.data = data
#prod_catnames = prod_catnames
lc.categoryAxis.categoryNames = prod_catnames
lc.categoryAxis.labels.boxAnchor = 'n'
lc.categoryAxis.labels.angle = 270
lc.valueAxis.valueMin = 0
lc.valueAxis.valueMax = 5000 #1500
lc.valueAxis.valueStep = 1000 #300
#lc.lines[0].strokeWidth = 2
#lc.lines[0].symbol = makeMarker('FilledCircle') # added to make filled circles.
#lc.lines[1].strokeWidth = 1.5
drawing.add(lc)
return drawing
def makeBarChart(self, context, width, height, data, xvalues, barColors, strokeWidth, displayBarLabels, labelAngles, yAxisMin, yAxisMax):
content = []
drawing = Drawing(width, height)
chart = VerticalBarChart()
chart.x = 0
chart.y = 0
chart.height = height
chart.width = width
chart.data = data
if displayBarLabels:
chart.barLabelFormat = '%2.0f'
chart.barLabels.dy = 6
else:
chart.barLabelFormat = None
if xvalues:
chart.categoryAxis.categoryNames = xvalues
if yAxisMin is not None:
chart.valueAxis.valueMin = yAxisMin
if yAxisMax is not None:
chart.valueAxis.valueMax = yAxisMax
if strokeWidth:
self.handleSingleOrList(chart.bars, strokeWidth, 'strokeWidth', len(data))
if barColors:
self.handleSingleOrList(chart.bars, barColors, 'fillColor', len(data), colors.HexColor)
if labelAngles is not None:
self.handleSingleOrList(chart.categoryAxis.labels, labelAngles, 'angle', len(data[0]))
drawing.add(chart)
content.append( drawing )
return content
def GraficoCustoFixoImplemento(self):
grafico = Drawing(200, 200)
dados = [
(self.DepreciacaoImplemento, self.JuroImplemento,
self.GaragemImplemento, self.SeguroImplemento),
]
barras = VerticalBarChart()
barras.x = 0
barras.y = 0
barras.height = 150
barras.width = 150
barras.data = dados
barras.barLabelFormat = DecimalFormatter(2)
barras.barLabels.nudge = 6
barras.categoryAxis.categoryNames = [
'Depreciação', 'Juros', 'Garagem', 'Seguro'
]
barras.categoryAxis.labels.angle = 45
barras.categoryAxis.labels.boxAnchor = 'ne'
grafico.add(barras)
return grafico
def GraficoCustoVariavel(self):
grafico = Drawing(200, 200)
dados = [
(self.CustoCombHora, self.CustoOleoHora,
self.CustoManutencaoHoraTrator, self.PrecoTratorista),
]
barras = VerticalBarChart()
barras.x = 0
barras.y = 0
barras.height = 150
barras.width = 150
barras.data = dados
barras.barLabelFormat = DecimalFormatter(2)
barras.barLabels.nudge = 6
barras.categoryAxis.categoryNames = [
'Combustível', 'Óleo', 'Manutenção', 'Operador'
]
barras.categoryAxis.labels.angle = 45
barras.categoryAxis.labels.boxAnchor = 'ne'
grafico.add(barras)
return grafico
def vertical_bar_graph(data, elements):
drawing = Drawing(0, 200) # for indices
bc = VerticalBarChart()
bc.x =15 # x,y define the left bottom of graph
bc.y = -130
bc.height = 250
bc.width = 500
bc.data = data
bc.strokeColor = colors.black
bc.valueAxis.valueMin = 0
bc.valueAxis.valueMax = 50
bc.valueAxis.valueStep = 10
bc.categoryAxis.labels.boxAnchor = 'ne'
bc.categoryAxis.labels.dx = 6 # next 3 lines is for naming indices
bc.categoryAxis.labels.dy = -2
bc.categoryAxis.labels.angle = 60
bc.categoryAxis.categoryNames = ['Ques1', 'Ques2', 'Ques3',
'Ques4', 'Ques5', 'Ques6', 'Ques7', 'Ques8']
drawing.add(bc)
elements.append(drawing)
elements.append(Spacer(1, 0.5 * inch))
def verticalbargraph(data, elements):
drawing = Drawing(0, 200) # for indices
bc = VerticalBarChart()
bc.x = 0 # x,y define the left bottom of graph
bc.y = 0
bc.height = 150
bc.width = 300
bc.data = data
bc.strokeColor = colors.black
bc.valueAxis.valueMin = 0
bc.valueAxis.valueMax = 50
bc.valueAxis.valueStep = 10
bc.categoryAxis.labels.boxAnchor = 'ne'
bc.categoryAxis.labels.dx = 6 # next 3 lines is for naming indices
bc.categoryAxis.labels.dy = -2
bc.categoryAxis.labels.angle = 60
bc.categoryAxis.categoryNames = ['Jan-99', 'Feb-99', 'Mar-99',
'Apr-99', 'May-99', 'Jun-99', 'Jul-99', 'Aug-99']
drawing.add(bc)
elements.append(drawing)
elements.append(Spacer(1, 0.5 * inch))
def letrasGrafico(data):
"Make a slightly pathologic bar chart with only TWO data items."
drawing = Drawing(800, 300)
bc = VerticalBarChart()
bc.x = 50
bc.y = -10
bc.height = 300
bc.width = 300
bc.barWidth = 15
bc.Title = "Frencuencias en "
bc.data = data
#bc.strokeColor = colors.black
bc.valueAxis.valueMin = 0
bc.valueAxis.valueMax = 7000
bc.valueAxis.valueStep = 500
bc.categoryAxis.labels.boxAnchor = 'e'
bc.categoryAxis.labels.angle = 0
abc = "abcdefghijklmnopqrstuvwxyz"
bc.categoryAxis.categoryNames = list(abc)
drawing.add(bc)
return drawing
def diagrammAlleMonateEinkommen(self, aPngDateiname):
# Festlegen der Gesamtgröße in Pixel
d = Drawing(800, 600)
# Anlegen des Diagramms
diagramm = VerticalBarChart()
# Positionierung und Größe des Diagramms
diagramm.x = 50
diagramm.y = 50
diagramm.width = 700
diagramm.height = 500
# Holen der Daten
daten = []
jahre = []
aAnzJahre, aSumme, ea = self.listeAlleMonateEinkommen()
print(ea)
for x in ea:
# print (x)
x['betrag'], x['jahr']
daten.append(float(x['betrag']))
jahre.append(str(x['jahr']))
ymin = min(daten)
ymax = max(daten)
# Daten für das Diagramm müssen als Liste von Tupeln vorliegen
daten = [tuple(daten)]
print(daten)
print(jahre)
# return False
# Hinzufügen der Daten
diagramm.data = daten
# Y-Achse (in ReportLab „valueAxis“) formatieren
diagramm.valueAxis.valueMin = ymin
diagramm.valueAxis.valueMax = ymax
diagramm.valueAxis.valueStep = 2000
# X-Achse (in ReportLab „categoryAxis“) formatieren
diagramm.categoryAxis.categoryNames = jahre
# Diagramm zeichnen
d.add(diagramm)
# ... und speichernhttp://www.reportlab.com/software/opensource/rl-toolkit/guide/
print(aPngDateiname)
renderPM.drawToFile(d, aPngDateiname, 'PNG')
def add_bar_chart(self, width, height, labels, data, minv=None, maxv=None):
pad = 10
_min, _max = self._find_min_max(data)
minv = _min if minv is None else minv
maxv = _max if maxv is None else maxv
bc = VerticalBarChart()
bc.x = pad * mm
bc.y = pad * mm
bc.width = (width - 2 * pad) * mm
bc.height = (height - 2 * pad) * mm
bc.categoryAxis.categoryNames = labels
bc.data = data
bc.valueAxis.valueMin = minv
bc.valueAxis.valueMax = maxv
drawing = Drawing(width * mm, height * mm)
drawing.hAlign = "CENTER"
drawing.add(bc)
self.story.append(drawing)
def sample1barline(
data=[(100, 110, 120, 130), (70, 25, 85, 30), (63, 75, 51, 92),
(51, 21, 66, 71), (10, 11, 90, 30)],
seriesOrder=[[0, 3, 1], [4], [2]],
lines=[3, 4],
cAStyle='mixed',
):
d = Drawing(400, 250)
chart = VerticalBarChart()
d.add(chart, name='chart')
leg = Legend()
d.add(leg, name='leg')
chart.bars.strokeColor = None
chart.bars[2].fillColor = colors.blue
chart.bars[3].fillColor = colors.orange
chart.bars[4].fillColor = colors.black #yellow
chart.bars[4].strokeWidth = 3
chart.bars[4].symbol = makeMarker('FilledDiamond',
size=10,
fillColor=colors.red)
chart.barSpacing = 1
chart.categoryAxis.style = cAStyle
chart.data = data
chart.x = 20
chart.y = 70
chart.height = d.height - chart.y - 10
chart.valueAxis.forceZero = True
chart.width = d.width - chart.x - 10
for i in lines:
chart.bars[i].isLine = 1
for i in lines:
chart.bars[i].strokeWidth = 2
leg.colorNamePairs = Auto(chart=chart)
leg.x = d.width / 2
leg.y = 5
leg.boxAnchor = 's'
leg.columnMaximum = 1
leg.alignment = 'right'
return d
def __drawPage2Group(self, c):
# 第二页，下方柱状图，所有内容书写范围为Pleft:10mm Pright:200mm Pheader:187mm Pfooter:10mm
Pleft = START_X + 10 * mm
Pright = START_X + 200 * mm
Pheader = START_Y + 187 * mm
Pfooter = START_Y + 10 * mm
c.setFillColorRGB(1, 1, 1)
c.rect(Pleft, Pheader - 160 * mm, 190 * mm, 120 * mm, fill=1)
c.setFont("song", 15)
c.setFillColorRGB(1, 0, 1)
c.drawString(Pleft + 3 * mm, Pheader - 50 * mm, "漏洞信息分组")
a = []
familyids = []
for familyid in self.scanParams['statsFamily']:
a.append(self.scanParams['statsFamily'][familyid]['total'])
familyids.append(str(familyid))
print a, familyids
d = Drawing(400, 300)
data = [a]
bc = VerticalBarChart()
bc.x = 50
bc.y = 50
bc.height = 245
bc.width = 400
bc.data = data
bc.strokeColor = colors.black
bc.valueAxis.valueMin = 0
bc.valueAxis.valueMax = 5
bc.valueAxis.valueStep = 1
bc.categoryAxis.labels.boxAnchor = 'ne'
bc.categoryAxis.labels.dx = 8
bc.categoryAxis.labels.dy = -2
bc.categoryAxis.labels.angle = 30
bc.categoryAxis.categoryNames = familyids
bc.categoryAxis.labels.fontName = 'song'
bc.categoryAxis.labels.fontSize = 10
d.add(bc)
renderPDF.draw(d, c, Pleft + 10 * mm, Pheader - 160 * mm)
def vertical_bar_chart_draw(self, values, days, llabels):
d = Drawing(0, 170)
# chart
bc = VerticalBarChart()
# set width and height
bc.height = 125
bc.width = 470
# set data
bc.data = values
# set distance between bars elements
bc.barSpacing = 0.5
# set labels position under the x axe
bc.categoryAxis.labels.dx = 8
bc.categoryAxis.labels.dy = -2
# set name displayed for x axe
bc.categoryAxis.categoryNames = days
# set label format for each bar
bc.barLabelFormat = '%d'
# set distance between top of bar and it's label
bc.barLabels.nudge = 7
# set some charactestics for the Y axe
bc.valueAxis.labelTextFormat = '%d km/h'
bc.valueAxis.valueMin = 0
d.add(self.title_draw(250, 190, _('Wind speed statistics')))
d.add(bc)
d.add(
self.legend_draw(llabels,
bc,
x=480,
y=165,
boxAnchor='ne',
columnMaximum=1,
type='bar'))
# d.add(bcl)
return d
def getVetricalBarChart(taxes_int):
values = []
years = []
font = 'Arial'
for year in taxes_int:
years.append(year)
values.append(taxes_int[year])
data = [values]
chart = VerticalBarChart()
chart.height = 180
chart.width = 450
chart.data = data
chart.valueAxis.valueMin = 0
chart.barWidth = 20
chart.groupSpacing = 5
chart.barLabels.fontName = font
chart.barLabels.fontSize = 8
chart.bars[0].fillColor = colors.cornflowerblue
chart.barLabelFormat = '%d тг'
chart.barLabels.nudge = 7
chart.categoryAxis.labels.fontName = font
chart.categoryAxis.labels.fontSize = 8
chart.categoryAxis.categoryNames = years
chart.valueAxis.labels.fontName = font
chart.valueAxis.labels.fontSize = 8
# chart.valueAxis.gridStrokeDashArray = strokeDashArray
# chart.valueAxis.gridStrokeWidth = strokeWidth
# chart.valueAxis.strokeDashArray = strokeDashArray
# chart.valueAxis.strokeWidth = strokeWidth
drawing = Drawing(300)
drawing.add(chart)
return drawing
def myBarChart(data):
drawing = Drawing(400, 200)
bc = VerticalBarChart()
bc.x = 50
bc.y = 50
bc.height = 125
bc.width = 300
bc.data = data
bc.barWidth = .3*inch
bc.groupSpacing = .2 * inch
bc.strokeColor = colors.black
bc.valueAxis.valueMin = 0
bc.valueAxis.valueMax = 100
bc.valueAxis.valueStep = 10
bc.categoryAxis.labels.boxAnchor = 'ne'
bc.categoryAxis.labels.dx = 8
bc.categoryAxis.labels.dy = -2
catNames = string.split('Trial1 Trial2 Trial3 Trial4 Trial5')
bc.categoryAxis.categoryNames = catNames
bc.bars[0].fillColor = colors.blue
bc.bars[1].fillColor = colors.lightblue
drawing.add(bc)
return drawing
def barras(datos):
alto = datos["alto"]
ancho = datos["ancho"]
data = datos["data"]
labels = datos["labels"]
colores = datos["colores"]
grafico = VerticalBarChart()
grafico.x = 30
grafico.y = 0
grafico.height = alto
grafico.width = ancho
grafico.data = data
grafico.barSpacing = 1.25
for i in range(len(colores)):
color = colors.HexColor(colores[i])
grafico.bars[i].strokeColor = color
grafico.bars[i].fillColor = color
grafico.valueAxis.labels.fontName = "Helvetica"
grafico.valueAxis.labels.fontSize = FONTSIZE
grafico.valueAxis.valueMin = 0
grafico.valueAxis.valueMax = 100
grafico.valueAxis.valueStep = 10
grafico.categoryAxis.categoryNames = labels
grafico.categoryAxis.labels.fontName = "Helvetica"
grafico.categoryAxis.labels.fontSize = FONTSIZE
grafico.categoryAxis.labels.dy = -FONTSIZE
grafico.categoryAxis.labels.boxAnchor = 'c'
grafico.categoryAxis.labels.angle = 0
retorno = crearDrawing(grafico)
etiqueta = Label()
etiqueta.setOrigin(0, alto)
etiqueta.fontSize = FONTSIZE
etiqueta.fontName = "Helvetica"
etiqueta.setText("(%)")
retorno.add(etiqueta)
return retorno
def __drawPage2Owasp(self, c):
# 第二页，右侧OWASP图，所有内容书写范围为Pleft:120mm Pright:200mm Pheader:247mm Pfooter:80mm
Pleft = START_X + 100 * mm
Pright = START_X + 200 * mm
Pheader = START_Y + 247 * mm
Pfooter = START_Y + 80 * mm
c.setFillColorRGB(1, 1, 1)
c.rect(Pleft, Pheader - 80 * mm, 100 * mm, 80 * mm, fill=1)
c.setFont("song", 15)
c.setFillColorRGB(1, 0, 1)
c.drawString(Pleft + 2 * mm, Pheader - 10 * mm, "OWASP TOP10占比分布")
d = Drawing(300, 200)
data = [(13, 5, 20, 22, 37, 45, 19, 4, 5, 10)]
bc = VerticalBarChart()
bc.x = 50
bc.y = 50
bc.height = 130
bc.width = 180
bc.data = data
bc.strokeColor = colors.black
bc.valueAxis.valueMin = 0
bc.valueAxis.valueMax = 50
bc.valueAxis.valueStep = 10
bc.categoryAxis.labels.boxAnchor = 'ne'
bc.categoryAxis.labels.dx = 8
bc.categoryAxis.labels.dy = -2
bc.categoryAxis.labels.angle = 30
bc.categoryAxis.categoryNames = [
'1.SQL注入', '2.失效的身份认证和会话管理', '3.跨站脚本(XSS)', '4.不安全的直接引用对象',
'5.安全配置错误', '6.敏感信息泄漏', '功能级访问控制缺失', '8.跨站请求伪造(CSRF)',
'9.使用含有已知漏洞的组件', '10.未验证的重定向和转发'
]
bc.categoryAxis.labels.fontName = 'song'
bc.categoryAxis.labels.fontSize = 5
d.add(bc)
renderPDF.draw(d, c, Pleft + 2 * mm, Pheader - 80 * mm)
def draw_bar(bar_data=[],
ax=[],
items=[],
limit_step=(100, 10),
draw_weight=500,
draw_height=250):
drawing = Drawing(draw_weight, draw_height)
bc = VerticalBarChart()
bc.x = 35
bc.y = 100
bc.height = 120
bc.width = 350
bc.data = bar_data
bc.strokeColor = Config_Charts.chose_colors[15]
bc.valueAxis.valueMin = 0
bc.valueAxis.valueMax = limit_step[0]
bc.valueAxis.valueStep = limit_step[1]
bc.categoryAxis.labels.dx = 8
bc.categoryAxis.labels.dy = -10
bc.categoryAxis.labels.angle = 20
bc.categoryAxis.categoryNames = ax
bc.bars.strokeColor = Config_Charts.chose_colors[148]
for index, item in enumerate(items):
bc.bars[index].fillColor = item[0]
# 图示
leg = Legend()
leg.fontName = Config_Charts.typeface
leg.alignment = 'right'
leg.boxAnchor = 'ne'
leg.x = 465
leg.y = 220
leg.dxTextSpace = 0
leg.columnMaximum = 10
leg.colorNamePairs = items
drawing.add(leg)
drawing.add(bc)
return drawing
def draw_req_risk_histogram(risk_values: List[int], passed_by_risk: List[int],
failed_by_risk: List[int],
not_run_by_risk: List[int]) -> Drawing:
d = Drawing(width=350, height=130)
vbc = VerticalBarChart()
vbc.x = 0
vbc.y = 0
vbc.width = 350
vbc.height = 130
vbc.data = _normalize([passed_by_risk, failed_by_risk, not_run_by_risk])
vbc.bars[0].fillColor = COLOR_GREEN
vbc.bars[1].fillColor = COLOR_RED
vbc.bars[2].fillColor = COLOR_GRAY
vbc.valueAxis.valueMin = 0
vbc.valueAxis.valueMax = 110
vbc.valueAxis.valueStep = 20
vbc.valueAxis.labels.fontName = MAIN_FONT_NAME
vbc.valueAxis.labels.fontSize = AXIS_FONT_SIZE
vbc.categoryAxis.categoryNames = [str(x) for x in risk_values]
vbc.categoryAxis.style = 'stacked'
vbc.categoryAxis.labels.fontName = MAIN_FONT_NAME
vbc.categoryAxis.labels.fontSize = AXIS_FONT_SIZE
d.add(vbc)
return d
def draw_bar(bar_data=[], ax=[], items=[]):
drawing = Drawing(600, 250)
bc = VerticalBarChart()
bc.x = 35
bc.y = 100
bc.height = 120
bc.width = 350
bc.data = bar_data
bc.strokeColor = colors.black
bc.valueAxis.valueMin = 0
bc.valueAxis.valueMax = 100
bc.valueAxis.valueStep = 10
bc.categoryAxis.labels.dx = 8
bc.categoryAxis.labels.dy = -10
bc.categoryAxis.labels.angle = 20
bc.categoryAxis.categoryNames = ax
# 图示
leg = Legend()
leg.fontName = 'SimSun'
leg.alignment = 'right'
leg.boxAnchor = 'ne'
leg.x = 505
leg.y = 220
leg.dxTextSpace = 10
leg.columnMaximum = 4
leg.colorNamePairs = items
drawing.add(leg)
drawing.add(bc)
return drawing
def vertical_bar_chart(self):
"""
Draws a vertical bar chart
:return: vertical bar chart
"""
drawing = Drawing(200, 280)
graph = VerticalBarChart()
graph.x = self.graph_x
graph.y = self.graph_y
graph.width = self.width
graph.height = self.height
graph.valueAxis.forceZero = 1
graph.valueAxis.valueMin = self.value_min
graph.valueAxis.valueMax = self.value_max
graph.valueAxis.valueStep = self.value_step
graph.data = self.data
graph.categoryAxis.categoryNames = self.categories
graph.barLabels.nudge = 15
graph.barLabelFormat = '%dº'
graph.barLabels.dx = 0
graph.barLabels.dy = 0
graph.barLabels.boxAnchor = 'n'
graph.barLabels.fontName = 'Vera'
graph.barLabels.fontSize = 10
graph.bars[0].fillColor = PCMYKColor(45, 45, 0, 0, alpha=85)
graph.bars[1].fillColor = PCMYKColor(70, 75, 0, 0, alpha=100)
graph.bars.fillColor = PCMYKColor(64, 62, 0, 18, alpha=85)
drawing.add(graph, '')
return [drawing]
def __init__(self, width, height, labels, data):
IRender.__init__(self, width, height, labels, data)
#self.w = self.width
#self.h = self.height
#data = [[int(line[1])] for line in self.data]
#labels = [line[0] for line in self.data]
#plot = cairoplot.VerticalBarPlot('/tmp/tmp.png', data, self.w*2, self.h*2, x_labels=labels, grid=True, display_values=True)
##plot.font_size *= 2
#plot.render()
#plot.commit()
#with open('/tmp/tmp.png') as f:
# self.image = Image(StringIO(f.read()), self.w, self.h)
bc = VerticalBarChart()
bc.x = 40
bc.y = 50
bc.height = self.height - 60
bc.width = self.width - 60
bc.data = [[int(line[1]) for line in self.data]]
bc.strokeColor = colors.white
bc.bars.strokeColor = RED
bc.bars.fillColor = RED
bc.bars[0].fillColor = RED
bc.valueAxis.valueMin = 0
bc.valueAxis.valueMax = max([int(line[1]) for line in self.data])
bc.valueAxis.valueStep = bc.valueAxis.valueMax/10
if not bc.valueAxis.valueStep:
bc.valueAxis.valueStep = 1
bc.valueAxis.valueMax = 10
bc.categoryAxis.labels.boxAnchor = 'ne'
bc.categoryAxis.labels.dx = 8
bc.categoryAxis.labels.dy = -2
bc.categoryAxis.labels.angle = 30
bc.categoryAxis.categoryNames = [line[0] for line in self.data]
self.drawing = Drawing(self.width, self.height)
self.drawing.add(bc)
def _rawDraw(self, x, y):
from reportlab.lib import colors
from reportlab.graphics.shapes import Drawing, Line, String, STATE_DEFAULTS
from reportlab.graphics.charts.linecharts import HorizontalLineChart, Label
from reportlab.graphics.charts.barcharts import VerticalBarChart
from reportlab.graphics.widgets.markers import makeMarker
self._setScale([self.dataBar])
(x1, y1, Width, Height) = self._getGraphRegion(x, y)
#self._drawBox(x1, y1, Width, Height)
#Build the graph
self.drawing = Drawing(self.width, self.height)
#Size of the Axis
SizeXaxis = 14
SizeYaxis = 0.0
countSteps = int(self.valueMax / self.valueStep)
for n in range(countSteps + 1):
eachValue = self.valueMin + n * self.valueStep
SizeYaxis = max(SizeYaxis, self._stringWidth(self._customSecondsLabelFormat(eachValue), STATE_DEFAULTS['fontName'], STATE_DEFAULTS['fontSize']) )
bc = VerticalBarChart()
SizeYaxis += bc.valueAxis.tickLeft
bc.x = x1 - x + SizeYaxis
bc.y = y1 - y + SizeXaxis
bc.height = Height - SizeXaxis
bc.width = Width - SizeYaxis
self.graphCenterX = bc.x + bc.width/2
self.graphCenterY = bc.y + bc.height/2
if self.validData:
bc.data = self.dataBar
bc.categoryAxis.categoryNames = self.dataNames
if len(self.dataNames) < 16:
bc.barLabelFormat = self._customSecondsLabelFormat
bc.barLabels.dy = 0.08*inch
bc.barLabels.fontSize = 9
else:
bc.data = [ (0, ), ]
bc.categoryAxis.categoryNames = [ '' ]
Nodata = Label()
Nodata.fontSize = 12
Nodata.angle = 0
Nodata.boxAnchor = 'c'
Nodata.dx = self.graphCenterX
Nodata.dy = self.graphCenterY
Nodata.setText("NO VALID DATA")
self.drawing.add(Nodata)
(R,G,B) = VeriwaveYellow
bc.bars[0].fillColor = colors.Color(R,G,B)
bc.valueAxis.valueMin = self.valueMin
bc.valueAxis.valueMax = self.valueMax
bc.valueAxis.valueStep = self.valueStep
bc.valueAxis.labelTextFormat = self._customSecondsLabelFormat
bc.categoryAxis.labels.boxAnchor = 'ne'
bc.categoryAxis.labels.dx = 8
bc.categoryAxis.labels.dy = -2
bc.categoryAxis.labels.angle = 0
self.drawing.add(bc)
#Put the labels on the center of the graph
self._drawLabels(self.title, "Trial", "Clients")
]
tabla = Table()
tabla.setStyle([('TEXTCOLOR', (1, -4), (7, -4), colors.red),
('TEXTCOLOR', (0, 0), (0, 3), colors.blue)])
tabla.setStyle([('BACKGROUND', (1, 1), (-1, -1), colors.aliceblue)])
tabla.setStyle([('INNERGRID', (1, 1), (-1, -1), 0.25, colors.darkgray)])
doc = [tabla]
d = Drawing(400, 400)
gb = VerticalBarChart()
gb.x = 50
gb.y = 50
gb.height = 125
gb.width = 300
gb.data = listaDatosEdade
gb.strokeColor = colors.black
gb.valueAxis.valueMin = 0
gb.valueAxis.valueMax = 100
gb.valueAxis.valueStep = 10
gb.categoryAxis.labels.boxAnchor = 'ne'
gb.categoryAxis.labels.dx = 8
gb.categoryAxis.labels.dy = -2
gb.categoryAxis.labels.angle = 30
gb.categoryAxis.categoryNames = listaDatosNome
gb.groupSpacing = 10
gb.barSpacing = 2
d.add(gb)
def relatorio_final(request, id):
analise = get_object_or_404(AnaliseSensorial, id=id)
response = HttpResponse(content_type='application/pdf')
response['Content-Disposition'] = 'attachment; filename="relatorio.pdf"'
# Iniciando variáveis importantes
buff = BytesIO()
# Criando arquivos com as dimensões de margem
arquivo = SimpleDocTemplate(
buff, rightMargin=40, leftMargin=40, topMargin=40, bottomMargin=18)
elements = []
styles = getSampleStyleSheet()
styles.add(ParagraphStyle(name='centered', alignment=TA_JUSTIFY))
styles.add(ParagraphStyle(name='body', alignment=TA_JUSTIFY, fontSize=10))
# Iniciando um dicionário de dados sobre o pdf
dictionary = {'analise': analise, 'elements': elements, 'styles': styles}
# Renderizando o título do documento
dictionary['size'] = '20'
dictionary['text'] = 'Relatório sobre a analise sensorial: ' + \
str(analise.nome)
dictionary['style'] = 'title'
dictionary['spacer'] = 20
dictionary['type'] = 'normal'
put_string(dictionary)
#-------------------------------------------------------------------------
# Renderizando informações sobre a análise
dictionary['size'] = '14'
dictionary['spacer'] = 12
dictionary['style'] = 'BodyText'
dictionary['type'] = 'normal'
dictionary['text'] = 'Nome: ' + str(analise.nome)
put_string(dictionary)
dictionary['text'] = 'Descrição: ' + str(analise.descricao)
put_string(dictionary)
dictionary['text'] = 'Quantidade de provadores: ' + \
str(analise.quantidade_pessoas)
put_string(dictionary)
dictionary['text'] = 'Quantidade de amostras: ' + \
str(analise.quantidade_amostras)
put_string(dictionary)
dictionary['text'] = 'Fabricante: ' + str(analise.user.first_name)
put_string(dictionary)
#-------------------------------------------------------------------------
# Recebendo perguntas
perguntas = Pergunta.objects.filter(analise_id=analise.id)
# Renderizar as perguntas
dictionary['elements'].append(Spacer(1, 24))
dictionary['type'] = 'negrito'
for pergunta in perguntas:
dictionary['text'] = pergunta.pergunta
dictionary['size'] = '18'
dictionary['type'] = 'negrito'
put_string(dictionary)
for index in range(analise.quantidade_amostras):
dictionary['text'] = 'Amostra %s' % transcricao_numero_letra(index)
dictionary['type'] = 'Normal'
dictionary['size'] = '14'
put_string(dictionary)
grafico = Drawing(400, 150)
cartoon = VerticalBarChart()
# Colocar tamanho do gráfico
cartoon.height = 125
cartoon.width = 500
# Colocando os dados no gráfico
cartoon.strokeColor = colors.black
# Aplicando valores maximos e minimos para o gráfico
cartoon.valueAxis.valueMin = 0
# Aqui ficará a 'quantidade_pessoas'
cartoon.valueAxis.valueMax = analise.quantidade_pessoas
cartoon.valueAxis.valueStep = (analise.quantidade_pessoas / 10)
# Arrumando as labels do gráfico
cartoon.categoryAxis.labels.boxAnchor = 'ne'
cartoon.categoryAxis.labels.dx = 10
# Perguntas sim ou nção
# Aqui ficará a divisão
if pergunta.tipo == 'PSN':
respostas = Boolean.objects.filter(
analise_id=id,
pergunta_id=pergunta.id,
amostra__tipo=transcricao_numero_letra(index)
)
contador_true = 0
contador_false = 0
for resposta in respostas:
if resposta.resposta == True:
contador_true += 1
else:
contador_false += 1
# Caracterizando o grafico de acordo
data = [(contador_true, contador_false), ]
cartoon.data = data
cartoon.categoryAxis.categoryNames = ['Sim', 'Não']
cartoon.bars[(0, 0)].fillColor = colors.green
cartoon.bars[(0, 1)].fillColor = colors.red
grafico.add(cartoon)
elements.append(grafico)
elements.append(Spacer(1, 20))
total = contador_true + contador_false
porcentagem_sim = porcentagem(contador_true, total)
porcentagem_nao = porcentagem(contador_false, total)
dictionary['text'] = """Nessa questão {por_sim:.2f}{symbol} dos
provadores responderam SIM - {n} pessoa(s)
- e {por_nao:.2f}{symbol} responderam
NÃO - {n2} pessoa(s).""" .format(symbol="%", por_sim=(porcentagem_sim), n=contador_true,
por_nao=porcentagem_nao, n2=contador_false)
dictionary['type'] = "Normal"
dictionary['size'] = "12"
put_string(dictionary)
elements.append(Spacer(1, 20))
# Perguntas Hedônicas
elif pergunta.tipo == 'PHD':
respostas = Hedonica.objects.filter(
analise_id=id,
pergunta_id=pergunta.id,
amostra__tipo=transcricao_numero_letra(index)
)
# Variáveis
h_01 = 0
h_02 = 0
h_03 = 0
h_04 = 0
h_05 = 0
h_06 = 0
h_07 = 0
h_08 = 0
h_09 = 0
for resposta in respostas:
if resposta.resposta == 1:
h_01 += 1
elif resposta.resposta == 2:
h_02 += 1
elif resposta.resposta == 3:
h_03 += 1
elif resposta.resposta == 4:
h_04 += 1
elif resposta.resposta == 5:
h_05 += 1
elif resposta.resposta == 6:
h_06 += 1
elif resposta.resposta == 7:
h_07 += 1
elif resposta.resposta == 8:
h_08 += 1
else:
h_09 += 1
data = [(h_01, h_02, h_03, h_04, h_05, h_06, h_07, h_08, h_09,)]
cartoon.data = data
cartoon.categoryAxis.categoryNames = [
'Desgostei extremamente',
'Desgostei muito',
'Desgostei moderadamente',
'Desgostei ligeiramente',
'Nem gostei / Nem desgostei',
'Gostei ligeiramente',
'Gostei moderadamente',
'Gostei muito',
'Gostei muitíssimo'
]
cartoon.bars[(0, 0)].fillColor = colors.green
cartoon.bars[(0, 1)].fillColor = colors.red
cartoon.bars[(0, 2)].fillColor = colors.yellow
cartoon.bars[(0, 3)].fillColor = colors.blue
cartoon.bars[(0, 4)].fillColor = colors.pink
cartoon.bars[(0, 5)].fillColor = colors.gray
cartoon.bars[(0, 6)].fillColor = colors.purple
cartoon.bars[(0, 7)].fillColor = colors.black
cartoon.bars[(0, 8)].fillColor = colors.orange
cartoon.categoryAxis.labels.dx = 8
cartoon.categoryAxis.labels.dy = -2
cartoon.categoryAxis.labels.angle = 30
grafico.add(cartoon)
elements.append(grafico)
elements.append(Spacer(1, 60))
# Variável de menor nome
q_p = h_01 + h_02 + h_03 + h_04 + h_05 + h_06 + h_07 + h_08 + h_09
dictionary['size'] = '12'
dictionary['type'] = 'Normal'
dictionary['text'] = "Resultados: "
dictionary['spacer'] = 20
put_string(dictionary)
dictionary['spacer'] = 10
if h_01 != 0:
dictionary['text'] = """>{p_01:.2f}{symbol} - {n_01} pessoa(s) -
responderam que <b>desgostaram
extremamente</b> dessa amostra.""".format(symbol="%",
p_01=porcentagem(h_01, q_p), n_01=h_01)
put_string(dictionary)
if h_02 != 0:
dictionary['text'] = """>{p_02:.2f}{symbol} - {n_02} pessoa(s) -
responderam que <b>desgostaram muito
</b> dessa amostra.""".format(symbol="%",
p_02=porcentagem(h_02, q_p), n_02=h_02)
put_string(dictionary)
if h_03 != 0:
dictionary['text'] = """>{p_03:.2f}{symbol} - {n_03} pessoa(s) -
responderam que <b>desgostaram
moderadamente</b> dessa amostra.""".format(symbol="%",
p_03=porcentagem(h_03, q_p), n_03=h_03)
put_string(dictionary)
if h_04 != 0:
dictionary['text'] = """>{p_04:.2f}{symbol} - {n_04} pessoa(s) -
responderam que <b>desgostaram
ligeiramente</b> dessa amostra.""".format(symbol="%",
p_04=porcentagem(h_04, q_p), n_04=h_04)
put_string(dictionary)
if h_05 != 0:
dictionary['text'] = """>{p_05:.2f}{symbol} - {n_05} pessoa(s) -
responderam que <b>nem gostaram, nem desgostaram</b>
dessa amostra.""".format(symbol="%",
p_05=porcentagem(h_05, q_p), n_05=h_05)
put_string(dictionary)
if h_06 != 0:
dictionary['text'] = """>{p_06:.2f}{symbol} - {n_06} pessoa(s) -
responderam que <b>gostaram
ligeiramente</b> dessa amostra.""".format(symbol="%",
p_06=porcentagem(h_06, q_p), n_06=h_06)
put_string(dictionary)
if h_07 != 0:
dictionary['text'] = """>{p_07:.2f}{symbol} - {n_07} pessoa(s) -
responderam que <b>gostaram
moderadamente</b> dessa amostra.""".format(symbol="%",
p_07=porcentagem(h_07, q_p), n_07=h_07)
put_string(dictionary)
if h_08 != 0:
dictionary['text'] = """>{p_08:.2f}{symbol} - {n_08} pessoa(s) -
responderam que <b>gostaram
muito</b> dessa amostra.""".format(symbol="%",
p_08=porcentagem(h_08, q_p), n_08=h_08)
put_string(dictionary)
if h_09 != 0:
dictionary['text'] = """>{p_09:.2f}{symbol} - {n_09} pessoa(s) -
responderam que <b>gostaram
extremamente</b> dessa amostra.""".format(symbol="%",
p_09=porcentagem(h_09, q_p), n_09=h_09)
put_string(dictionary)
elements.append(Spacer(1, 30))
# Perguntas dissertativas
elif pergunta.tipo == 'PDT':
respostas = Dissertativa.objects.filter(
analise_id=id,
pergunta_id=pergunta.id,
amostra__tipo=transcricao_numero_letra(index)
)
if respostas:
for resposta in respostas:
if resposta.resposta != "":
dictionary['text'] = "> " + str(resposta.resposta)
dictionary['type'] = 'Normal'
dictionary['size'] = '12'
dictionary['spacer'] = 10
put_string(dictionary)
else:
dictionary['text'] = "Nenhuma resposta cadastrada."
dictionary['type'] = 'Normal'
dictionary['size'] = '12'
dictionary['spacer'] = 10
put_string(dictionary)
# Perguntas de intenção de compra
else:
respostas = IntencaoCompra.objects.filter(
analise_id=id,
pergunta_id=pergunta.id,
amostra__tipo=transcricao_numero_letra(index)
)
ic_01 = 0
ic_02 = 0
ic_03 = 0
ic_04 = 0
ic_05 = 0
q_p = analise.quantidade_pessoas
for resposta in respostas:
if resposta.resposta == 1:
ic_01 += 1
elif resposta.resposta == 2:
ic_02 += 1
elif resposta.resposta == 3:
ic_03 += 1
elif resposta.resposta == 4:
ic_04 += 1
else:
ic_05 += 1
data = [(ic_01, ic_02, ic_03, ic_04, ic_05), ]
cartoon.data = data
cartoon.categoryAxis.categoryNames = [
'Certamente não compraria',
'Possivelmente não compraria',
'Talvez comprasse ou não comprasse',
'Possivelmente compraria',
'Certamente compraria'
]
cartoon.bars[(0, 0)].fillColor = colors.green
cartoon.bars[(0, 1)].fillColor = colors.red
cartoon.bars[(0, 2)].fillColor = colors.yellow
cartoon.bars[(0, 3)].fillColor = colors.blue
cartoon.bars[(0, 4)].fillColor = colors.pink
cartoon.categoryAxis.labels.dx = 8
cartoon.categoryAxis.labels.dy = -2
cartoon.categoryAxis.labels.angle = 30
grafico.add(cartoon)
elements.append(grafico)
elements.append(Spacer(1, 60))
dictionary['size'] = '12'
dictionary['type'] = 'Normal'
dictionary['text'] = "Resultados: "
dictionary['spacer'] = 20
put_string(dictionary)
q_p = ic_01 + ic_02 + ic_03 + ic_04 + ic_05
if ic_01 != 0:
dictionary['spacer'] = 10
dictionary['text'] = """>{p_01:.2f}{symbol} - {n_01} pessoa(s) -
responderam que <b>Certamente não compraria
</b> dessa amostra.""".format(symbol="%",
p_01=porcentagem(ic_01, q_p), n_01=ic_01)
put_string(dictionary)
if ic_02 != 0:
dictionary['text'] = """>{p_02:.2f}{symbol} - {n_02} pessoa(s) -
responderam que <b>possivelmente não compraria
</b> dessa amostra.""".format(symbol="%",
p_02=porcentagem(ic_02, q_p), n_02=ic_02)
put_string(dictionary)
if ic_03 != 0:
dictionary['text'] = """>{p_03:.2f}{symbol} - {n_03} pessoa(s) -
responderam que <b>talvez não comprasse ou talvez comprasse
</b> dessa amostra.""".format(symbol="%",
p_03=porcentagem(ic_03, q_p), n_03=ic_03)
put_string(dictionary)
if ic_04 != 0:
dictionary['text'] = """>{p_04:.2f}{symbol} - {n_04} pessoa(s) -
responderam que <b>possivelmente
compraria</b> dessa amostra.""".format(symbol="%",
p_04=porcentagem(ic_04, q_p), n_04=ic_04)
put_string(dictionary)
if ic_05 != 0:
dictionary['text'] = """>{p_05:.2f}{symbol} - {n_05} pessoa(s) -
responderam que <b>certamente compraria</b>
dessa amostra.""".format(symbol="%",
p_05=porcentagem(ic_05, q_p), n_05=ic_05)
put_string(dictionary)
elements.append(Spacer(1, 60))
elements.append(PageBreak())
#-------------------------------------------------------------------------
arquivo.build(elements)
response.write(buff.getvalue())
buff.close()
return response
from reportlab.lib import colors
from reportlab.graphics.shapes import Drawing
from reportlab.graphics import renderPDF
from reportlab.graphics.charts.barcharts import VerticalBarChart
draw = Drawing(640, 320)
data = [
(13, 25, 35, 4, 30, 35),
(15, 15, 20, 25, 33, 38)
]
vbc = VerticalBarChart()
vbc.x = 120
vbc.y = 50
vbc.height = 125
vbc.width = 300
vbc.data = data
vbc.strokeColor = colors.black
vbc.valueAxis.valueMin = 0
vbc.valueAxis.valueMax = 50
vbc.valueAxis.valueStep = 10
vbc.categoryAxis.labels.boxAnchor = 'ne'
vbc.categoryAxis.labels.dx = 8
vbc.categoryAxis.labels.dy = -2
vbc.categoryAxis.labels.angle = 30
vbc.categoryAxis.categoryNames = ['Jan-99','Feb-99','Mar-99','Apr-99',
'May-99','Jun-99','Jul-99','Aug-99']
def makeDocument(filename, pageCallBack=None):
#the extra arg is a hack added later, so other
#tests can get hold of the canvas just before it is
#saved
global titlelist, closeit
titlelist = []
closeit = 0
c = Canvas(filename)
c.setPageCompression(0)
c.setPageCallBack(pageCallBack)
framePageForm(c) # define the frame form
framePage(c, 'PDFgen graphics API test script')
makesubsection(c, "PDFgen", 10 * inch)
story = []
#add some flowables
story.append(box(Paragraph("Champions", styleT)))
story.append(Paragraph("Philosophizing", styleH))
story.append(Paragraph("""
This is a paragraph in <i>Normal</i> style. We do understand exactly why
the system hates me. I really really hate the autocorrect. I really do
not mind the tab-complete function, but the rest of this is shit.""",
styleN))
data = [[query("cid"), query("total_price"), query("gross_margin"), '03',
'04'],
['10', '11', '12', '13', '14'],
['20', '21', '22', '23', '24'],
['30', '31', '32', '33', '34']]
t = Table(data)
t.setStyle(TableStyle([('BACKGROUND', (1, 1), (-2, -2), colors.green),
('TEXTCOLOR', (0, 0), (1, -1), colors.red)]))
story.append(t)
f = Frame(inch, inch, 6.5 * inch, 9 * inch, showBoundary=0)
f.addFromList(story, c)
c.showPage()
# END OF PAGE 1
framePage(c, 'Line Drawing Styles')
st = []
st.append(Spacer(0, 0.5 * inch))
g = Drawing(3, 4)
f2 = Frame(inch, inch, 6.5 * inch, 9 * inch, showBoundary=0)
#St.append(g.add(star(c, title="Title", aka="comments", xcenter=2 * inch,
# ycenter=3 * inch, nvertices=5)))
chart = VerticalBarChart()
# Set the starting point to be (0, 0). Changing this value changes
# the position that the chart is rendered at within it's 'Drawing'
# space, which we create below.
chart.x = 0
chart.y = 0
# This determines the width, in centimeters (you could use 'inch'
# as well) of the chart on the paper, as well as the height.
chart_width = 5 * inch
chart_height = 4 * inch
chart.height = chart_height
chart.width = chart_width
# The vertical ticks will be labeled from 0 with a value every
# 15 units, spaced so that the maximum value is 60.
chart.valueAxis.valueMin = 0
chart.valueAxis.valueMax = 60
chart.valueAxis.valueStep = 15
# Put the labels at the bottom with an interval of 8 units,
# -2 units below the axis, rotated 30 degrees from horizontal
chart.categoryAxis.labels.dx = 8
chart.categoryAxis.labels.dy = -2
chart.categoryAxis.labels.angle = 30
# The text box's NE corner (top right) is located at the above
# coordinate
chart.categoryAxis.labels.boxAnchor = 'ne'
# Our various horizontal axis labels
catNames = ['Jan-06', 'Feb-06', 'Mar-06', 'Apr-06', 'May-06',
'Jun-06', 'Jul-06', 'Aug-06']
chart.categoryAxis.categoryNames = catNames
# Some random data to populate the chart with.
chart.data = [(8, 5, 20, 22, 37, 28, 30, 47)]
# Since the 'Chart' class itself isn't a 'Flowable', we need to
# create a 'Drawing' flowable to contain it. We want the basic
# area to be the same size as the chart itself, so we will
# initialize it with the chart's size.
g = Drawing(chart_width, chart_height)
g.add(chart)
# Add the Chart containing Drawing to our elements list
st.append(box(g))
g.add(star(c, title="Right", aka="comments", xcenter=7 * inch,
ycenter=7 * inch, nvertices=5))
g.add(star(c, title="Left", aka="comments", xcenter=3 * inch,
ycenter=7 * inch, nvertices=6))
st.append(Spacer(1, 1 * inch))
st.append(box(Paragraph("""
Well, its now hard to argue that this is working pretty well. Possibly
make some nice output charts, and import an image.""", styleH)))
f2.addFromList(st, c)
c.showPage()
c.save()
return c
for algo in data:
speedup = [[]]
graphs = []
for graph in data[algo]:
cpu_time = data[algo][graph]['time_cpu']
gpu_time = data[algo][graph]['time_gpu']
speedup[0].append(cpu_time / gpu_time)
graphs.append(graph)
drawing = Drawing(400, 300)
bc = VerticalBarChart()
bc.x = 50
bc.y = 50
bc.height = 200
bc.width = 300
bc.data = speedup
bc.strokeColor = colors.black
bc.valueAxis.valueMin = 0
bc.valueAxis.valueMax = max(speedup[0]) + 1
bc.valueAxis.valueStep = max(1, int(floor(max(speedup[0]) / 5.)))
bc.valueAxis.tickRight = 300
bc.valueAxis.strokeDashArray = [2, 2]
bc.categoryAxis.labels.boxAnchor = 'ne'
bc.categoryAxis.labels.dx = 8
bc.categoryAxis.labels.dy = -2
bc.categoryAxis.labels.angle = 30
bc.categoryAxis.categoryNames = graphs
for algo in data:
speedup = [[]]
graphs = []
for graph in data[algo]:
cpu_time = data[algo][graph]['time_cpu']
gpu_time = data[algo][graph]['time_gpu']
speedup[0].append(cpu_time / gpu_time)
graphs.append(graph)
drawing = Drawing(400, 300)
bc = VerticalBarChart()
bc.x = 50
bc.y = 50
bc.height = 200
bc.width = 300
bc.data = speedup
bc.strokeColor = colors.black
bc.valueAxis.valueMin = 0
bc.valueAxis.valueMax = max(speedup[0]) + 1
bc.valueAxis.valueStep = max(1, int(floor(max(speedup[0]) / 5.)))
bc.valueAxis.tickRight = 300
bc.valueAxis.strokeDashArray = [2, 2]
bc.categoryAxis.labels.boxAnchor = 'ne'
bc.categoryAxis.labels.dx = 8
bc.categoryAxis.labels.dy = -2
bc.categoryAxis.labels.angle = 30
bc.categoryAxis.categoryNames = graphs
def _rawDraw(self, x, y):
from reportlab.lib import colors
from reportlab.graphics.shapes import Drawing, Line, String, STATE_DEFAULTS
from reportlab.graphics.charts.axes import XCategoryAxis,YValueAxis
from reportlab.graphics.charts.textlabels import Label
from reportlab.graphics.charts.barcharts import VerticalBarChart
self.originX = x
self.originY = y
self._setScale([self.dataBar])
(x1, y1, Width, Height) = self._getGraphRegion(x, y)
#Build the graph
self.drawing = Drawing(self.width, self.height)
#Size of the Axis
SizeXaxis = 14
countSteps = int(self.valueMax / self.valueStep)
SizeYaxis = 0.0
for n in range(countSteps + 1):
eachValue = self.valueMin + n * self.valueStep
textString = self._customSecondsLabelFormat( eachValue )
SizeYaxis = max(SizeYaxis, self._stringWidth(textString, STATE_DEFAULTS['fontName'], STATE_DEFAULTS['fontSize']) )
bc = VerticalBarChart()
SizeYaxis += bc.valueAxis.tickLeft
bc.x = x1 - x + SizeYaxis
bc.y = y1 - y + SizeXaxis
bc.height = Height - SizeXaxis
bc.width = Width - SizeYaxis
self.graphCenterX = bc.x + bc.width/2
self.graphCenterY = bc.y + bc.height/2
if self.validData:
# add valid data to chart
bc.data = self.dataBar
bc.categoryAxis.categoryNames = self.dataNames
# axis values
bc.valueAxis.valueMin = self.valueMin
bc.valueAxis.valueMax = self.valueMax
bc.valueAxis.valueStep = self.valueStep
# add value labels above bars
bc.barLabelFormat = self._customSecondsLabelFormat
bc.barLabels.dy = 0.08*inch
bc.barLabels.fontSize = 6
else:
# no valid data
bc.data = [ (0, ), ]
bc.categoryAxis.categoryNames = [ '' ]
bc.valueAxis.valueMin = 0
bc.valueAxis.valueMax = 1
bc.valueAxis.valueStep = 1
Nodata = Label()
Nodata.fontSize = 12
Nodata.angle = 0
Nodata.boxAnchor = 'c'
Nodata.dx = self.graphCenterX
Nodata.dy = self.graphCenterY
Nodata.setText("NO VALID DATA")
self.drawing.add(Nodata)
# chart formatting
(R,G,B) = VeriwaveYellow
bc.bars[0].fillColor = colors.Color(R,G,B)
bc.valueAxis.labelTextFormat = self._customSecondsLabelFormat
# axis labels
bc.categoryAxis.labels.boxAnchor = 'c'
bc.categoryAxis.labels.dx = 0
bc.categoryAxis.labels.dy = -10
bc.categoryAxis.labels.angle = 0
bc.categoryAxis.labels.fontSize = 8
# add chart
self.drawing.add(bc)
#Adjust the labels to be the center of the graph
self._drawLabels(self.title, "", "")
# Add Legend in upper right corner
legendHeight = 9
legendX = bc.x + 5
legendY = bc.y + bc.height - 12
self.drawing.add(Line(legendX, legendY + 3 , legendX + 20, legendY + 3, strokeColor=bc.bars[0].fillColor, strokeWidth=3 ))
self.drawing.add(String(legendX + 22, legendY, 'MIN', fontName='Helvetica', fontSize=8))
legendY -= legendHeight
self.drawing.add(Line(legendX, legendY + 3 , legendX + 20, legendY + 3, strokeColor=bc.bars[1].fillColor, strokeWidth=3 ))
self.drawing.add(String(legendX + 22, legendY, 'MAX', fontName='Helvetica', fontSize=8))
legendY -= legendHeight
self.drawing.add(Line(legendX, legendY + 3 , legendX + 20, legendY + 3, strokeColor=bc.bars[2].fillColor, strokeWidth=3 ))
self.drawing.add(String(legendX + 22, legendY, 'AVG', fontName='Helvetica', fontSize=8))
legendY -= legendHeight
def main(argv):
parser = argparse.ArgumentParser()
# the following options are provided on the commandline
parser.add_argument("-f", "--file", action="store", dest="cleanupfile",
help="path to cleanup result file", metavar="FILE")
parser.add_argument("-o", "--output", action="store", dest="outputfile",
help="path to output file", metavar="FILE")
args = parser.parse_args()
# path of the gzip compressed releases file
if args.cleanupfile is None:
parser.error("cleanup file missing")
if args.outputfile is None:
parser.error("output file missing")
if os.path.isdir(args.outputfile):
print("outputfile %s is a directory, cannot overwrite" % args.outputfile, file=sys.stderr)
sys.exit(1)
if not os.path.exists(args.cleanupfile):
print("result file missing", file=sys.stderr)
sys.exit(1)
unique_releases = set()
cleanupfile = open(args.cleanupfile, 'r')
# store the number of the last release found with a small in the
# dataset. This is to ensure that the right amount of columns will
# be generated in the end through an ugly hack
max_release_number = 0
# store the release number for releases with a smell
for l in cleanupfile:
if 'https://www.discogs.com/release/' in l and ' -- ' in l:
#release_number = int(l.rsplit('/', 1)[1])
release_number = int(l.rsplit('/', 1)[1].split()[0])
max_release_number = max(max_release_number, release_number)
unique_releases.add(release_number)
else:
print(l)
cleanupfile.close()
# count the number of releases, with a smell
statistics = collections.Counter()
statistics.update(map(lambda x: x//1000000, unique_releases))
last_index = max_release_number//1000000
bardata = (sorted(statistics.items()))
barwidth = 20
# sometimes some dummy data need to be inserted to
# ensure that empty bars are generated if needed
if len(bardata) != last_index:
for i in range(0, last_index):
if bardata[i][0] != i:
for d in range(0, bardata[i][0] - i):
bardata.append((i, 0))
bardata.sort()
print("Unique releases:", len(unique_releases))
print(bardata)
maximumvalue = max(map(lambda x: x[1], bardata))
step = int(math.log(maximumvalue, 10))
valueStep = pow(10, step)
# calculate a possible good value for startx so labels are not cut off
startx = max(10 + step * 10, 30)
# make sure that the chart is large enough
chartwidth = len(bardata) * barwidth + 10 * len(bardata)
drawheight = 225
drawwidth = chartwidth + startx + 20
# create the drawing that the barchart will be added to
drawing = Drawing(drawwidth, drawheight)
barchart = VerticalBarChart()
barchart.x = startx
barchart.y = 20
barchart.height = 200
barchart.width = chartwidth
barchart.data = [tuple(map(lambda x: x[1], bardata))]
barchart.strokeColor = colors.white
barchart.valueAxis.valueMin = 0
barchart.valueAxis.labels.fontSize = 16
barchart.valueAxis.valueMax = maximumvalue
barchart.valueAxis.valueStep = valueStep
barchart.categoryAxis.labels.boxAnchor = 'w'
barchart.categoryAxis.labels.dx = 0
barchart.categoryAxis.labels.dy = -10
#barchart.categoryAxis.labels.angle = -90
barchart.categoryAxis.labels.fontSize = 16
barchart.categoryAxis.categoryNames = list(map(lambda x: str(x[0]), bardata))
barchart.barWidth = barwidth
drawing.add(barchart)
renderPM.drawToFile(drawing, args.outputfile, fmt='PNG')
""")
from reportlab.graphics.shapes import Drawing
from reportlab.graphics.charts.barcharts import VerticalBarChart
drawing = Drawing(400, 200)
data = [
(13, 5, 20, 22, 37, 45, 19, 4),
(14, 6, 21, 23, 38, 46, 20, 5)
]
bc = VerticalBarChart()
bc.x = 50
bc.y = 50
bc.height = 125
bc.width = 300
bc.data = data
bc.strokeColor = colors.black
bc.valueAxis.valueMin = 0
bc.valueAxis.valueMax = 50
bc.valueAxis.valueStep = 10
bc.categoryAxis.labels.boxAnchor = 'ne'
bc.categoryAxis.labels.dx = 8
bc.categoryAxis.labels.dy = -2
bc.categoryAxis.labels.angle = 30
bc.categoryAxis.categoryNames = ['Jan-99','Feb-99','Mar-99',
'Apr-99','May-99','Jun-99','Jul-99','Aug-99']
from reportlab.graphics.shapes import Drawing
from reportlab.platypus import SimpleDocTemplate
from reportlab.lib.pagesizes import A4
from reportlab.lib import colors
from reportlab.graphics.charts.piecharts import Pie
d = Drawing(400, 200)
datos = [(13, 5, 14, 31, 24, 42, 7, 10), (1, 3, 6, 6, 6, 15, 27, 31),
(13, 20, 16, 26, 36, 5, 7, 31)]
gBarra = VerticalBarChart()
gBarra.x = 50
gBarra.y = 50
gBarra.height = 125
gBarra.width = 300
gBarra.data = datos
gBarra.valueAxis.valueMin = 0
gBarra.valueAxis.valueMax = 50
gBarra.valueAxis.valueStep = 10
# podemos ponerle un estilo, sino pondrá el predeterrminado
gBarra.categoryAxis.style = 'stacked'
gBarra.categoryAxis.labels.boxAnchor = 'ne' # noroeste
gBarra.categoryAxis.labels.dx = 8
gBarra.categoryAxis.labels.dy = -2
gBarra.categoryAxis.labels.angle = 30
gBarra.categoryAxis.categoryNames = [
'Xan-17', 'Feb-17', 'Mar-17', 'Abr-17', 'Mai-17', 'Xun-17', 'Xul-17',
'Ago-17'
]
def generar_pdf_usuarios_mes(request):
#print "Genero el PDF"
mes =0
anio =0
story =[]
fecha_usuarios = x
response = HttpResponse(content_type='application/pdf')
pdf_name = "reporte_usuarios_mes.pdf" # llamado clientes
# la linea 26 es por si deseas descargar el pdf a tu computadora
# response['Content-Disposition'] = 'attachment; filename=%s' % pdf_name
buff = BytesIO()
doc = SimpleDocTemplate(buff,
pagesize=letter,
rightMargin=40,
leftMargin=40,
topMargin=60,
bottomMargin=18,
)
reportes = []
styles = getSampleStyleSheet()
fichero_imagen="biblioteca/media/images/Reports-banner.jpg"
imagen_logo=Image(os.path.realpath(fichero_imagen),width=400,height=100)
story.append(imagen_logo)
reportes.append(imagen_logo)
header = Paragraph("Fecha del reporte: "+str(date.today()), styles['Heading1'])
header2 = Paragraph("Reporte de los usuarios que prestaron espacio en el mes "+str(fecha_usuarios.month)+" del "+str(fecha_usuarios.year), styles['Normal'])
salto_linea = Paragraph("\n\n", styles["Normal"])
reportes.append(Spacer(1, 12))
reportes.append(header)
#reportes.append(Spacer(1, 12))
reportes.append(header2)
reportes.append(Spacer(1, 12))
headings = ('Fecha préstamo', 'Usuario', 'Nombre del espacio', 'Fecha devolución')
mes = x.month
anio = x.year
n = mes
f = mes
allreportes = [(i.fecha_prestamo, i.usuario.nombre, i.espacio.nombre_espacio, i.fecha_devolucion) for i in Prestamo.objects.filter(fecha_prestamo__month =mes,fecha_prestamo__year = anio)]
#print allreportes
t = Table([headings] + allreportes)
t.setStyle(TableStyle(
[
('GRID', (0, 0), (3, -1), 1, colors.dodgerblue),
('LINEBELOW', (0, 0), (-1, 0), 2, colors.darkblue),
('BACKGROUND', (0, 0), (-1, 0), colors.dodgerblue)
]
))
#GRAFICA DE BARRAS
titulo1 = Paragraph("Gráfica comparativa de usuarios que prestaron espacios en el mes "+str(fecha_usuarios.month)+" y el mes anterior a éste. ", estilo['title'])
drawing = Drawing(400, 200)
data = [(u1, u2)]
bc = VerticalBarChart()
bc.x = 50
bc.y = 50
bc.height = 125
bc.width = 300
bc.data = data
bc.bars[0].fillColor = colors.blue
bc.bars[1].fillColor = colors.red
bc.strokeColor = colors.black
bc.fillColor = colors.silver
bc.valueAxis.valueMin = 0
bc.valueAxis.valueMax = u2+10
try:
o = u2 / 2
if type(o) == 'float':
bc.valueAxis.valueStep = u2+0.5
if type(o) == 'int':
bc.valueAxis.valueStep = o
except:
"No se puede"
bc.categoryAxis.labels.boxAnchor = 'ne'
bc.categoryAxis.labels.dx = 8
bc.categoryAxis.labels.dy = -2
bc.categoryAxis.labels.angle = 0
if mes == 1:
n = mes + 11
else:
f = mes - 1
bc.categoryAxis.categoryNames = [ datetime.date(anio, f, 1).strftime('%B'), datetime.date(anio, n, 1).strftime('%B')]
drawing.add(bc)
bc.barLabels.nudge = 20
bc.barLabelFormat = '%0.0f'
bc.barLabels.dx = 0
bc.barLabels.dy = 0
bc.barLabels.boxAnchor = 'n' # irrelevant (becomes 'c')
bc.barLabels.fontName = 'Helvetica'
bc.barLabels.fontSize = 14
reportes.append(t)
reportes.append(Spacer(0, inch*.1))
reportes.append(Spacer(0, inch*.1))
reportes.append(titulo1)
reportes.append(drawing)
doc.build(reportes)
response.write(buff.getvalue())
buff.close()
return response
def create_single_grade_pdf(student_id, class_id, assignment_count, grade_standard_dict, grade_student_dict, assignment_line_all, assignment_names, assignment_dict):
'''--Variables--'''
Story=[]
Elements=[]
buff = StringIO()
formatted_time = time.ctime()
minimum = 100
standard_averages=[[]]
standard_table=[]
#content_areas = []
'''------'''
styles = getSampleStyleSheet()
HeaderStyle = styles["Heading1"]
#get the student Name
#Create the name for the PDf being returned
pdfName = get_student_name(student_id).first_name+"_"+get_student_name(student_id).last_name+"_SR"+".pdf"
#set up the response headers so the browser knows to return a PDF document
response.headers['Content-Type'] = 'application/pdf'
response.headers['Content-Disposition'] ='attachment;filename=%s;'%pdfName
doc = SimpleDocTemplate(buff,pagesize=letter,rightMargin=72,leftMargin=72,topMargin=72,bottomMargin=18)
doc.title=pdfName
#Set up some styles
styles=getSampleStyleSheet()
styles.add(ParagraphStyle(name='Justify', alignment=TA_JUSTIFY))
styles.add(ParagraphStyle(name='Indent', rightIndent=3))
styles.add(ParagraphStyle(name = 'Title2',
parent = styles['Normal'],
fontName = 'DejaVuSansCondensed',
fontSize = 18,
leading = 22,
#alignment = TA_LEFT,
spaceAfter = 6),
alias = 'title2')
#Time-Stamp
ptext = '<font size=12>%s</font>' % formatted_time
Story.append(Paragraph(ptext, styles["Normal"]))
Story.append(Spacer(1, 12))
Elements.extend(ptext)
#Administrator
ptext='<font size=12><b>%s %s</b></font>'%(get_student_name(student_id).first_name, get_student_name(student_id).last_name)
Story.append(Paragraph(ptext, styles["Justify"]))
Story.append(Spacer(1, 12))
Elements.extend(ptext)
#Grade Number and Content Area
ptext = '<font size=12><b>%s Student Report</b></font>'%(get_class_name(class_id).name)
Story.append(Paragraph(ptext, styles["Justify"]))
Story.append(Spacer(1, 7))
Elements.extend(ptext)
#Total Assignments
ptext = '<font size=12>Total Assignments: %s</font>'%(assignment_count)
Story.append(Paragraph(ptext, styles["Justify"]))
Story.append(Spacer(1, 7))
Elements.extend(ptext)
Story.append(Spacer(1,20))
#Graph Title
ptext = '<font size=15><b>Current Performance by Standard</b></font>'
Story.append(Paragraph(ptext, styles["title"]))
Story.append(Spacer(1,50))
#get all the standards for a specific grade and content area
standard_query = ((db.classes.id == class_id)&
(student_id == db.student.id)&
(db.classes.id == db.student_classes.class_id)&
(db.student.id == db.student_classes.student_id)&
(db.student.id == db.student_grade.student_id)&
(db.grade.id == db.student_grade.grade_id)&
(db.grade.id == db.grade_standard.grade_id)&
(db.standard.id == db.grade_standard.standard_id)&
(db.classes.id == db.class_grade.class_id)&
(db.grade.id == db.class_grade.grade_id)&
(db.standard.content_area == db.contentarea.id))
standard_list = db(standard_query).select(db.standard.id, db.standard.short_name, db.standard.reference_number,db.student_grade.student_score, db.grade.score, db.contentarea.name)
standard_ref_list=[]
#Setup the Dictionary of standard averages
standard_dict = {}
standard_table = []
standard_averages=[[]]
for row in standard_list:
if row.standard.id in standard_dict.keys():
if((row.grade.score != 0.0) | (row.student_grade.student_score != 0.0)):
max_score = standard_dict[row.standard.id][0] + row.grade.score
student_score = standard_dict[row.standard.id][1] + row.student_grade.student_score
standard_dict[row.standard.id] = [max_score, student_score, row.standard.reference_number, row.standard.short_name]
else:
standard_dict[row.standard.id] = [row.grade.score, row.student_grade.student_score, row.standard.reference_number, row.standard.short_name]
i = 0
#set up the 2D list of Standard Averages
for standard in sorted(standard_dict.keys()):
standard_ref_list.append(standard_dict[standard][2])
standard_table.append([])
current_avg = (standard_dict[standard][1]/standard_dict[standard][0])*100
if minimum > current_avg:
minimum = current_avg
#int/round was here
standard_table[i].append(standard_dict[standard][3]+": "+format((standard_dict[standard][1]/standard_dict[standard][0])*100,'.2f')+"%")
#int/round was here
standard_averages[0].append((standard_dict[standard][1]/standard_dict[standard][0])*100)
for grade in grade_standard_dict.keys():
for standardId in grade_standard_dict[grade][1]:
if(standardId == standard):
standard_table[i].append(grade_standard_dict[grade][0]+":"+format((grade_student_dict[grade][1]/grade_student_dict[grade][0])*100, '.2f')+"%")
i+=1
sorted(standard_table,key=lambda l:l[0])
'''---Graph---'''
drawing = Drawing(600, 200)
data = standard_averages
bc = VerticalBarChart()
#location in the document (x,y)
bc.x = 10
bc.y = 30
#width and height of the graph
bc.height = 225
bc.width = 400
bc.data = data
bc.categoryAxis.drawGridLast=True
bc.categoryAxis.gridStart=0
bc.categoryAxis.gridStrokeLineCap = 2
bc.categoryAxis.gridEnd=3
#bc.barLabels =
#Update colors of the bars in the graph
bc.bars.symbol = ShadedRect()
bc.bars.symbol.fillColorStart = colors.lightblue
bc.bars.symbol.fillColorEnd = colors.lightblue
bc.bars.symbol.strokeWidth = 0
#this draws a line at the top of the graph to close it.
bc.strokeColor = colors.black
#Y-axis min, max, and steps.
if minimum != 100:
bc.valueAxis.valueMin = minimum -10
else:
bc.valueAxis.valueMin = 50
bc.valueAxis.valueMax = 100
bc.valueAxis.valueStep = 5
#where to anchor the origin of the graph
bc.categoryAxis.labels.boxAnchor = 'ne'
#Locations of labels for the X-axis
bc.categoryAxis.labels.dx = 2
bc.categoryAxis.labels.dy = -2
bc.barLabels.nudge = -10
bc.barLabelFormat = '%.2f%%'
bc.barLabels.dx = 0
bc.barLabels.dy = 0
#The angle of the lables for the X-axis
bc.categoryAxis.labels.angle = 30
#List of the categories to place on the X-axis
bc.categoryAxis.categoryNames = standard_ref_list
drawing.add(bc)
'''------'''
'''--Graph Legend--'''
#Graph Legend
legend = Legend()
legend.alignment = 'right'
legend.x = 420
legend.y = 150
legend.deltax = 60
legend.dxTextSpace = 10
legend.columnMaximum = 4
legend.colorNamePairs = [(colors.lightblue, 'grade average')]
drawing.add(legend, 'legend')
drawing_title = "Bar Graph"
Story.append(drawing)
Story.append(Spacer(1,15))
#LineGraph Title
ptext = '<font size=15><b>Class Performance by Assignment</b></font>'
Story.append(Paragraph(ptext, styles["title"]))
Story.append(Spacer(1,30))
'''
Line Plot Graph ------
'''
assignment_data_all =[[],[]]
for key in assignment_dict.keys():
assignment_data_all[0].append(assignment_dict[key][2])
assignment_data_all[1].append(assignment_dict[key][1])
drawing2 = Drawing(600, 200)
data2 = assignment_data_all
#lp = LinePlot()
#data[0] = preprocessData(data[0])
lp = HorizontalLineChart()
lp.x = -20
lp.y = 0
lp.height = 225
lp.width = 500
lp.data = data2
lp.joinedLines = 1
lp.lines.symbol = makeMarker('FilledCircle')
lp.lines[0].strokeColor = colors.grey
lp.lines[1].strokeColor = colors.lightblue
lp.strokeColor = colors.black
lp.categoryAxis.labels.fontSize = 7
lp.categoryAxis.categoryNames = assignment_names
lp.categoryAxis.labels.boxAnchor = 'ne'
lp.categoryAxis.labels.angle = 30
lp.categoryAxis.drawGridLast=True
#lp.categoryAxis.gridStart=0
lp.categoryAxis.gridStrokeLineCap = 2
#lp.categoryAxis.gridEnd=3
#lp.categoryAxis.visibleGrid = 1
lp.valueAxis.visibleGrid = 1
lp.valueAxis.visible = 1
lp.valueAxis.drawGridLast=False
#lp.valueAxis.gridStart = 0
#lp.valueAxis.gridEnd = 100
lp.valueAxis.gridStrokeColor = colors.black
lp.valueAxis.valueMin = 0
lp.valueAxis.valueMax = 105
lp.valueAxis.valueStep = 10
lp.lineLabelFormat = '%2.0f'
lp.strokeColor = colors.black
lp.fillColor = colors.white
drawing2.add(lp)
legend = Legend()
legend.alignment = 'right'
legend.x = 482
legend.y = 150
legend.deltax = 60
legend.dxTextSpace = 2
legend.colorNamePairs = [(colors.lightblue, 'Student'),(colors.grey, 'Class')]
drawing2.add(legend, 'legend')
Story.append(drawing2)
Story.append(Spacer(1,30))
ptext = '<font size=15><b>Assignments by Standard</b></font>'
Story.append(Paragraph(ptext, styles["title"]))
Story.append(Spacer(1,10))
t=Table(standard_table)
t.setStyle(t.setStyle(TableStyle([('BOX', (0,0), (-1,-1), 0.25, colors.black),
('FONTSIZE', (0,0), (-1,-1), 7),
('BACKGROUND',(0,0),(0,-1),colors.lightgrey),
('INNERGRID', (0,0), (-1,-1), 0.25, colors.black),])))
Story.append(t)
#build PDF document and return it
doc.build(Story)
pdf = buff.getvalue()
buff.close()
return pdf
def createCitationHistogram(self):
'''
Routine to create a histogram of citations:
1. refereed papers to refereed papers
2. refereed papers to non-refereed papers
3. non-refereed papers to refereed papers
4. non-refereed papers to non-refereed papers
(where 'to X' means 'to the papers of type X in the publication set, used to generate the metrics)
'''
# The vertical bar chart will get added to the 'drawing' object
drawing = Drawing(400, 200)
# Now we can start constructing the vertical bar chart
lc = VerticalBarChart()
lc.x = 30
lc.y = 50
lc.height = 125
lc.width = 350
# Record the publication years, because these values will be used as x axis labels
years = sorted(map(lambda b: int(b), filter(lambda a: a.isdigit(), self.data['citation histogram'].keys())))
# This list will hold the data points for the histogram
lc.data = []
# Record the counts for the 4 different types of citations
ref_ref = []
ref_non = []
non_ref = []
non_non = []
# The maximum number of citations will be used to scale the y axis
max_citations = 0
# Take only the first four values of each value string in the histogram data
for year in years:
values = map(lambda a: int(a),self.data['citation histogram'][str(year)].split(':')[:4])
all2all = values[0]
all2ref = values[2]
ref2ref = values[3]
ref2all = values[1]
all2non = all2all - all2ref
ref2non = ref2all - ref2ref
non2all = all2all - ref2all
non2ref = all2ref - ref2ref
non2non = non2all - non2ref
ref_ref.append(ref2ref)
ref_non.append(ref2non)
non_ref.append(non2ref)
non_non.append(non2non)
max_citations = max(max_citations,ref2ref,ref2non,non2ref,non2non)
lc.data.append(ref_ref)
lc.data.append(ref_non)
lc.data.append(non_ref)
lc.data.append(non_non)
# If there are no citations, just omit this histogram:
if max_citations == 0:
return
# Proper label placement for years: shift by (-6, -6) in x and y to have labels positioned properly
lc.categoryAxis.labels.dx = -6
lc.categoryAxis.labels.dy = -6
# and rotate the labels by 90 degrees
lc.categoryAxis.labels.angle = 90
# The label names are the publication years
lc.categoryAxis.categoryNames = map(lambda a: str(a), years)
# Define the colors for the various bars
lc.bars[0].fillColor = colors.red
lc.bars[1].fillColor = colors.green
lc.bars[2].fillColor = colors.blue
lc.bars[3].fillColor = colors.orange
# Define the value step and maximum for the y axis
lc.valueAxis.valueMax = int(math.ceil(float(max_citations)/10.0))*10
lc.valueAxis.valueStep = max(int(math.floor(float(max_citations)/10.0)),1)
# Now add the histogram to the 'drawing' object
drawing.add(lc)
# Add a legend to the histogram so that we now which color means what
legend = Legend()
legend.alignment = 'right'
legend.x = 380
legend.y = 160
legend.deltax = 60
legend.dxTextSpace = 10
legend.columnMaximum = 6
items = [(colors.red, 'refereed to refereed'), (colors.green, 'refereed to non-refereed'),(colors.blue, 'non-refereed to refereed'),(colors.orange, 'non-refereed to non-refereed')]
legend.colorNamePairs = items
drawing.add(legend, 'legend')
# Finally add a title to the histogram
drawing.add(String(200,190,"citation histogram", textAnchor="middle", fillColor='blue'))
# Append the result to the 'story'
self.story.append(drawing)
def get_pdf_results(task_id):
# Flask response
response = Response()
response.status_code = 200
task = data.get_task_result(task_id)
#Saving file to a in-memory file
output_file = StringIO.StringIO()
def header_footer(canvas, doc):
canvas.saveState()
background = 'static/img/pdf_bg.png'
canvas.drawImage(background,
1 * inch,
5.75 * inch,
width=8 * inch,
height=6 * inch,
mask='auto')
# Header
logo = Image('static/img/logo/logo.png')
logo.drawHeight = 0.5 * inch
logo.drawWidth = 1.75 * inch
date = datetime.now().strftime("%y-%m-%d %H:%M")
headerData = [[logo, '', date]]
headerTable = Table(headerData,
colWidths=[2 * inch, 3.58 * inch, 1.2 * inch],
style=[('LINEBELOW', (0, 0), (2, 0), 1,
colors.HexColor(0xcccccc)),
('TEXTCOLOR', (0, 0), (2, 0),
colors.HexColor(0x807F83)),
('VALIGN', (1, 0), (1, 0), 'MIDDLE'),
('VALIGN', (2, 0), (2, 0), 'MIDDLE')])
headerTable.wrapOn(canvas, doc.width, doc.topMargin)
headerTable.drawOn(canvas, doc.leftMargin, doc.height + doc.topMargin)
pageNum = "Page %d" % doc.page
footerData = [[
'KAPSARC Building Energy Assessment Tool (BEAT)', pageNum
]]
footerTable = Table(footerData,
colWidths=[5.76 * inch, 1 * inch],
style=[('LINEABOVE', (0, 0), (1, 0), 2,
colors.HexColor(0xcccccc)),
('TEXTCOLOR', (0, 0), (1, 0),
colors.HexColor(0x807F83)),
('ALIGN', (1, 0), (1, 0), 'RIGHT')])
footerTable.wrapOn(canvas, doc.width, doc.bottomMargin)
footerTable.drawOn(canvas, doc.leftMargin, 0.5 * inch)
canvas.restoreState()
pdfmetrics.registerFont(TTFont('Vera', 'Vera.ttf'))
pdfmetrics.registerFont(TTFont('VeraBd', 'VeraBd.ttf'))
pdfmetrics.registerFont(TTFont('VeraIt', 'VeraIt.ttf'))
pdfmetrics.registerFont(TTFont('VeraBI', 'VeraBI.ttf'))
styles = getSampleStyleSheet()
# Title
styles.add(
ParagraphStyle(name='styleTitle',
alignment=TA_CENTER,
fontSize=16,
fontName='Vera',
textColor=colors.HexColor(0x61a659),
leading=30,
spaceBefore=35,
spaceAfter=10))
# Headings
styles.add(
ParagraphStyle(name='styleHeading',
parent=styles['Heading2'],
fontSize=14,
textColor=colors.HexColor(0x807F83),
leading=20,
spaceBefore=10,
underlineProportion=1.1,
spaceAfter=10))
styles.add(
ParagraphStyle(name='styleHeading2',
parent=styles['Heading2'],
fontSize=14,
textColor=colors.HexColor(0x61a659),
leading=20,
spaceBefore=20,
underlineProportion=1.1,
spaceAfter=20))
styles.add(
ParagraphStyle(
name='styleHeading3',
#alignment= TA_CENTER,
fontSize=12,
fontName='Vera',
textColor=colors.HexColor(0x61a659),
leading=20,
spaceBefore=10,
spaceAfter=5))
# Body text
styles.add(
ParagraphStyle(name='styleBodyText',
parent=styles['Normal'],
fontSize=9,
textColor=colors.HexColor(0x666666),
spaceBefore=5,
spaceAfter=15))
styleTitle = styles['styleTitle']
styleHeading = styles['styleHeading']
styleHeading2 = styles['styleHeading2']
styleHeading3 = styles['styleHeading3']
styleBodyText = styles['styleBodyText']
pdf_chart_colors = [
"#3D6531",
"#61a24f",
"#89B97B",
"#B0D1A7",
"#cde5c7",
"#7e7f82",
"#9E9FA1",
"#BFBFC1",
"#DFDFE0",
"#ffd200",
"#FFE360",
"#FFEE9F",
]
Elements = []
doc = BaseDocTemplate(output_file,
showBoundary=0,
pagesize=A4,
title='KASPSARC BEAT Report',
author="KAPSARC",
leftMargin=0.75 * inch,
rightMargin=0.75 * inch,
topMargin=inch,
bottomMargin=inch)
frame = Frame(doc.leftMargin,
doc.topMargin,
doc.width,
doc.height,
topPadding=0.3 * inch,
showBoundary=0)
template = PageTemplate(id='template',
frames=[frame],
onPage=header_footer)
doc.addPageTemplates([template])
## PAGE 1
#add some flowables
Elements.append(
Paragraph("KAPSARC Building Energy Assessment Tool (BEAT)",
styleTitle))
Elements.append(Paragraph("Your Building Description", styleHeading))
rowHeights = 0.3 * inch
calibrationData = task['calibrationData']
Elements.append(Paragraph("General Information:", styleHeading3))
infoTableData = [
[
Paragraph('<b>- Name: </b>' + calibrationData['txtBldgName'],
styleBodyText),
Paragraph('<b>- Address: </b>' + calibrationData['txtBldgAddress'],
styleBodyText),
Paragraph('<b>- Type: </b>' + calibrationData['cmbBldgType'],
styleBodyText)
],
[
Paragraph(
'<b>- Location: </b>' + calibrationData['cmbBldgLocation'],
styleBodyText),
Paragraph('<b>- Shape: </b>' + calibrationData['cmbBldgShape'],
styleBodyText),
Paragraph(
'<b>- Floor Area (m' + u"\u00b2" + '): </b>' +
str(calibrationData['txtFloorArea']), styleBodyText)
]
]
infoTable = Table(infoTableData,
colWidths=[160, 165, 150],
rowHeights=rowHeights)
Elements.append(infoTable)
Elements.append(Paragraph('<br />', styleBodyText))
Elements.append(Paragraph("Envelope Construction Details:", styleHeading3))
envTableData = [
[
Paragraph(
'<b>- South Wall: </b>' + calibrationData['cmbSouthWall'],
styleBodyText),
Paragraph('<b>- West Wall: </b>' + calibrationData['cmbWestWall'],
styleBodyText)
],
[
Paragraph(
'<b>- North Wall: </b>' + calibrationData['cmbNorthWall'],
styleBodyText),
Paragraph('<b>- East Wall: </b>' + calibrationData['cmbEastWall'],
styleBodyText)
],
[
Paragraph('<b>- Roof: </b>' + calibrationData['cmbRoof'],
styleBodyText),
Paragraph(
'<b>- Floor: </b>' + calibrationData['cmbFirstFloorContact'],
styleBodyText)
],
[
Paragraph('<b>- Windows Type: </b>' + calibrationData['glasstype'],
styleBodyText),
Paragraph(
'<b>- Overhang Depth (m): </b>' +
str(calibrationData['txtWinSouthOverhang']), styleBodyText)
]
]
envTable = Table(envTableData, colWidths=[240, 235], rowHeights=rowHeights)
Elements.append(envTable)
Elements.append(Paragraph('<br />', styleBodyText))
Elements.append(Paragraph("Air Conditioning Systems", styleHeading3))
hvacTableData = [[
Paragraph(
'<b>- HVAC System Type: </b>' + calibrationData['cmbBldgSystem'],
styleBodyText),
Paragraph(
'<b>- Cooling Temperature Setting (' + u"\u00b0" + 'C): </b>' +
str(calibrationData['txtCoolSetTemp']), styleBodyText)
],
[
Paragraph(
'<b>- Energy Efficiency Ratio (EER): </b>' +
str(calibrationData['eir']), styleBodyText),
Paragraph(
'<b>- Heating Temperature Setting (' + u"\u00b0" +
'C): </b>' +
str(calibrationData['txtHeatSetTemp']),
styleBodyText)
]]
hvacTable = Table(hvacTableData,
colWidths=[240, 235],
rowHeights=rowHeights)
Elements.append(hvacTable)
Elements.append(Paragraph('<br />', styleBodyText))
Elements.append(Paragraph("Overall Assessment", styleHeading))
Elements.append(
Paragraph(
"Based on your description and current SASO requirements, the tool provides the following assessments:",
styleBodyText))
if task['compliant']:
compliant = "<strong><font color=green>meets</font></strong>"
else:
compliant = "<strong><font color=red>does not meet</font></strong>"
if (task['ngEnergyDiff'] < 0):
energyDiff = "<strong><font color=green>" + str(
task['energyDiff']) + " kWh/year, less</font></strong>"
else:
energyDiff = "<strong><font color=red>" + str(
task['energyDiff']) + " kWh/year, more</font></strong>"
Elements.append(
Paragraph(
"- Your building " + compliant +
" SASO requirements for all building envelope", styleBodyText))
Elements.append(
Paragraph(
"- Your building consumed " + energyDiff +
" than the SASO Baseline", styleBodyText))
if task['compliant']:
Elements.append(
Paragraph(
"- You may reduce even more your energy consumption in your building by using LED lamps and high efficient appliances and air conditioning system",
styleBodyText))
else:
Elements.append(
Paragraph(
" - You need to add more insulation to the walls and/or roof, or use more efficient window glazing to comply with SASO requirements",
styleBodyText))
if not task['compliant'] and (task['ngEnergyDiff'] >= 0):
Elements.append(
Paragraph(
" - You may also consider using LED lamps and energy efficient appliances and air conditioning system",
styleBodyText))
Elements.append(PageBreak())
Elements.append(
Paragraph("How electricity is used in your building?", styleHeading3))
Elements.append(
Paragraph(
"Your building needs electricity to operate several types of equipment including: air-conditioning, lighting, appliances and domestic hot water.",
styleBodyText))
#add image
Elements.append(
Image('static/img/results-intro.png',
width=4 * inch,
height=1.2 * inch))
#add text
Elements.append(
Paragraph(
"Based on the description you provided as well as typical lighting and appliances used in households, here how your building consumes electricity on annual basis:",
styleBodyText))
bepuPieData = task['bepuPieData']
bepuTableData = [[0 for i in xrange(len(bepuPieData[0]))]
for i in xrange(len(bepuPieData) + 1)]
bepuChartLabel = [0 for i in xrange(len(bepuPieData))]
bepuChartData = [0 for i in xrange(len(bepuPieData))]
bepuTableData[0][0] = 'End-Use'
bepuTableData[0][1] = 'Annual Electricity Use'
for i, result in enumerate(bepuPieData):
# write body cells
bepuTableData[i + 1][0] = str(result['label'])
bepuTableData[i + 1][1] = int(result['value'])
bepuChartLabel[i] = str(result['label'])
bepuChartData[i] = result['value']
#add chart
bepuChart = Drawing(400, 200)
pc = Pie()
pc.data = bepuChartData
labelc = [0 for i in xrange(len(bepuChartData))]
for i, r in enumerate(bepuChartData):
labelc[i] = str(round(r / sum(bepuChartData) * 100, 1)) + "%"
pc.labels = labelc
pc._seriesCount = len(bepuChartLabel)
pc.slices.strokeColor = colors.HexColor(0xffffff)
pc.slices.strokeWidth = 0.5
bepu_chart_colors = ['#FFC43E', '#A4A4A4', '#F67A40', '#5894D0', '#98cd99']
for i, r in enumerate(bepuChartLabel):
pc.slices[i].fillColor = colors.HexColor(bepu_chart_colors[i])
pc.width = pc.height = 120
pc.x = 40
pc.y = 30
# add_legend(d, pc)
legend = Legend()
legend.alignment = 'right'
legend.x = pc.width + pc.x + 80
legend.y = pc.height - 10
legend.dx = 8
legend.dy = 8
legend.fontName = 'Helvetica'
legend.fillColor = colors.HexColor(0x807F83)
legend.fontSize = 10
legend.boxAnchor = 'nw'
legend.columnMaximum = 8
legend.strokeWidth = 0.5
legend.strokeColor = colors.HexColor(0xffffff)
legend.deltax = 75
legend.deltay = 10
legend.autoXPadding = 10
legend.yGap = 0
legend.dxTextSpace = 5
legend.dividerLines = 1 | 2 | 4
legend.dividerOffsY = 6
legend.subCols.rpad = 70
legend.dividerColor = colors.HexColor(0xdedede)
legend.colorNamePairs = [(pc.slices[i].fillColor,
(bepuChartLabel[i][0:20],
' %s ' % "{:,}".format(int(pc.data[i]))))
for i in xrange(len(pc.data))]
legendHeader = Legend()
legendHeader.colorNamePairs = [
('', ('End-Use', 'Annual Electricity Use\n(kWh/year)'))
]
legendHeader.alignment = 'right'
legendHeader.x = legend.x - 20
legendHeader.y = legend.y + 30
legendHeader.fontName = 'Helvetica'
legendHeader.fillColor = colors.HexColor(0x807F83)
legendHeader.fontSize = 10
legendHeader.boxAnchor = 'nw'
legendHeader.subCols.rpad = 80
legendFooter = Legend()
legendFooter.colorNamePairs = [
('', ('Total', str("{:,}".format(int(sum(bepuChartData)))) + ''))
]
legendFooter.alignment = 'right'
legendFooter.x = legendHeader.x + 5
legendFooter.y = legend.y - (len(bepuChartLabel) + 1) * 10
legendFooter.fontName = 'Helvetica-Bold'
legendFooter.fillColor = colors.HexColor(0x807F83)
legendFooter.fontSize = 10
legendFooter.boxAnchor = 'nw'
legendFooter.subCols.rpad = 145
bepuChart.add(legend)
bepuChart.add(legendHeader)
bepuChart.add(legendFooter)
pc.slices.fontColor = colors.HexColor(0x807F83)
n = len(pc.data)
bepuChart.add(pc, '')
Elements.append(bepuChart)
## PAGE 2
Elements.append(
Paragraph("When electricity is consumed in your building?",
styleHeading3))
Elements.append(
Paragraph(
"Based on the weather of your location as well as typical lighting and appliances used in households, your building consumes electricity as noted in the following monthly profile:",
styleBodyText))
#add chart
pseBarData = task['pseBarData']
pseTableData = [[0 for i in xrange(len(pseBarData[0]['values']) + 1)]
for i in xrange(len(pseBarData) + 1)]
pseChartData = [[0 for i in xrange(len(pseBarData[0]['values']))]
for i in xrange(len(pseBarData))]
pseChartLegend = [0 for i in xrange(len(pseBarData))]
pseTableData[0][0] = 'Key'
month = [
'Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct',
'Nov', 'Dec'
]
for i, m in enumerate(month):
pseTableData[0][i + 1] = str(month[i])
for i, result in enumerate(pseBarData):
# write body cells
pseTableData[i + 1][0] = str(result['key'])
pseChartLegend[i] = str(result['key'])
for j, value in enumerate(result['values']):
pseTableData[i + 1][j + 1] = int(result['values'][j]['y'])
pseChartData[i][j] = int(result['values'][j]['y'])
pseChart = Drawing(400, 200)
bc = VerticalBarChart()
bc.x = 70
bc.y = 0
bc.height = 200
bc.width = 300
bc.data = pseChartData
bc.strokeColor = colors.black
bc.valueAxis.valueMin = 0
bc.strokeWidth = 0
bc.valueAxis.valueMin = 0
bc.categoryAxis.style = 'stacked'
bc.categoryAxis.labels.boxAnchor = 'ne'
bc.categoryAxis.labels.dx = 10
bc.categoryAxis.labels.dy = -2
bc.valueAxis.labels.fontName = 'Helvetica'
bc.valueAxis.labels.fontSize = 10
bc.valueAxis.strokeWidth = 0.5
bc.valueAxis.strokeColor = colors.HexColor(0x807F83)
bc.categoryAxis.strokeWidth = 0.5
bc.categoryAxis.strokeColor = colors.HexColor(0x807F83)
bc.valueAxis.labels.fillColor = colors.HexColor(0x807F83)
bc.categoryAxis.labels.fontName = 'Helvetica'
bc.categoryAxis.labels.fontSize = 10
bc.categoryAxis.labels.fillColor = colors.HexColor(0x807F83)
bc.categoryAxis.categoryNames = month
# create a list and add the elements of our document (image, paragraphs, table, chart) to it
#add our barchart and legend
bc.barWidth = .3 * inch
bc.groupSpacing = .2 * inch
bc.bars.strokeColor = colors.HexColor(0xffffff)
bc.bars.strokeWidth = 0.
pse_chart_colors = ['#FFC43E', '#A4A4A4', '#F67A40', '#5894D0']
for i, r in enumerate(pseChartLegend):
bc.bars[i].fillColor = colors.HexColor(pse_chart_colors[i])
# = colors.blue
legend = Legend()
legend.alignment = 'right'
legend.x = bc.width + bc.x + 5
legend.y = bc.height + bc.y
legend.deltax = 40
legend.dxTextSpace = 5
legend.dx = 8
legend.dy = 8
legend.fontName = 'Helvetica'
legend.fillColor = colors.HexColor(0x807F83)
legend.fontSize = 10
legend.boxAnchor = 'nw'
legend.columnMaximum = (len(bc.data) + 1) / 2
legend.strokeWidth = 0.5
legend.strokeColor = colors.HexColor(0xffffff)
legend.deltax = 75
legend.deltay = 12
legend.dividerColor = colors.HexColor(0xdedede)
legend.columnMaximum = len(pseChartLegend)
legend.colorNamePairs = [(bc.bars[i].fillColor, pseChartLegend[i])
for i in xrange(len(bc.data))]
#pseChart.hAlign = 'RIGHT'
label = Label()
label.setOrigin(10, bc.height / 2)
#label.boxAnchor = 'sw'
label.angle = 90
label.fillColor = colors.HexColor(0x807F83)
label.setText('Electricity Consumption (kWh)')
label.fontName = 'Helvetica'
pseChart.add(legend, 'legend')
pseChart.add(bc)
pseChart.add(label)
Elements.append(pseChart)
Elements.append(PageBreak())
## PAGE 3
Elements.append(
Paragraph(
"Does your building meet SASO Thermal Performance Requirements?",
styleHeading3))
Elements.append(
Paragraph(
"Based on your description, the thermal transmittance properties of the walls, roof and glazing are calculated, and compared with SASO thermal building performance requirements:",
styleBodyText))
#add chart
lvdData = task['lvdData']
lvdChartData = [[0 for i in xrange(len(lvdData[0]['values']))]
for i in xrange(len(lvdData))]
lvdChartCategoryNames = [0 for i in xrange(len(lvdData[0]['values']))]
lvdComparedObjKey = [0 for i in xrange(len(lvdData))]
for i, result in enumerate(lvdData):
# write body cells
lvdComparedObjKey[i] = str(lvdData[i]['key'])
for j, value in enumerate(result['values']):
lvdChartCategoryNames[j] = value['label']
lvdChartData[i][j] = value['value']
lvdChart = Drawing(400, 200)
bc = VerticalBarChart()
bc.x = 70
bc.y = 0
bc.height = 200
bc.width = 300
bc.data = lvdChartData
bc.strokeColor = colors.black
# bc.fillColor=colors.blue
bc.valueAxis.valueMin = 0
bc.strokeWidth = 0
bc.valueAxis.valueMin = 0
bc.categoryAxis.labels.boxAnchor = 'n'
bc.categoryAxis.labels.dx = 0
bc.categoryAxis.labels.dy = -2
# bc.categoryAxis.labels.angle = 20
bc.valueAxis.labels.fontName = 'Helvetica'
bc.valueAxis.labels.fontSize = 10
bc.valueAxis.strokeWidth = 0.5
bc.valueAxis.strokeColor = colors.HexColor(0x807F83)
bc.categoryAxis.strokeWidth = 0.5
bc.categoryAxis.strokeColor = colors.HexColor(0x807F83)
bc.valueAxis.labels.fillColor = colors.HexColor(0x807F83)
bc.categoryAxis.labels.fontName = 'Helvetica'
bc.categoryAxis.labels.fontSize = 8
bc.categoryAxis.labels.fillColor = colors.HexColor(0x807F83)
bc.categoryAxis.categoryNames = lvdChartCategoryNames
bc.categoryAxis.labels.angle = 0
# create a list and add the elements of our document (image, paragraphs, table, chart) to it
#add our barchart and legend
bc.barWidth = .3 * inch
bc.groupSpacing = .2 * inch
bc.bars.strokeColor = colors.HexColor(0xffffff)
bc.bars.strokeWidth = 0.5
lvd_chart_colors = ['#5894D0', '#F67A40']
for i, r in enumerate(lvdComparedObjKey):
bc.bars[i].fillColor = colors.HexColor(lvd_chart_colors[i])
# = colors.blue
legend = Legend()
legend.alignment = 'right'
legend.x = bc.width + bc.x + 5
legend.y = bc.height + bc.y
legend.deltax = 40
legend.dxTextSpace = 5
legend.dx = 8
legend.dy = 8
legend.fontName = 'Helvetica'
legend.fillColor = colors.HexColor(0x807F83)
legend.fontSize = 10
legend.boxAnchor = 'nw'
legend.columnMaximum = (len(bc.data) + 1) / 2
legend.strokeWidth = 0.5
legend.strokeColor = colors.HexColor(0xffffff)
legend.deltax = 75
legend.deltay = 12
legend.dividerColor = colors.HexColor(0xdedede)
legend.columnMaximum = len(lvdComparedObjKey)
legend.colorNamePairs = [(bc.bars[i].fillColor, lvdComparedObjKey[i])
for i in xrange(len(bc.data))]
#pseChart.hAlign = 'RIGHT'
label = Label()
label.setOrigin(10, bc.height / 2)
#label.boxAnchor = 'sw'
label.angle = 90
label.fillColor = colors.HexColor(0x807F83)
label.setText('Envelope U-value (W/m' + u'\u00b2' + '.k)')
label.fontName = 'Helvetica'
lvdChart.add(label)
lvdChart.add(legend, 'legend')
lvdChart.add(bc)
Elements.append(lvdChart)
#Elements.append(PageBreak())
Elements.append(Paragraph('<br /><br />', styleBodyText))
## PAGE 4
Elements.append(
Paragraph("How energy efficient is your building?", styleHeading3))
Elements.append(
Paragraph(
"Using your input specifications, the annual electricity consumption is calculated and compared with a similar building that meets SASO requirements:",
styleBodyText))
#add chart
bepuComparisonData = task['bepuComparisonData']
bepuComparisonChartData = [[
0 for i in xrange(len(bepuComparisonData[0]['values']))
] for i in xrange(len(bepuComparisonData))]
bepuChartCategoryNames = [
0 for i in xrange(len(bepuComparisonData[0]['values']))
]
bepuComparedObjKey = [0 for i in xrange(len(bepuComparisonData))]
for i, result in enumerate(bepuComparisonData):
# write body cells
bepuComparedObjKey[i] = str(bepuComparisonData[i]['key'])
for j, value in enumerate(result['values']):
bepuChartCategoryNames[j] = value['label']
bepuComparisonChartData[i][j] = value['value']
bepuComparisonChart = Drawing(400, 200)
bc = VerticalBarChart()
bc.x = 70
bc.y = 0
bc.height = 200
bc.width = 300
bc.data = bepuComparisonChartData
bc.strokeColor = colors.black
# bc.fillColor=colors.blue
bc.valueAxis.valueMin = 0
bc.strokeWidth = 0
bc.valueAxis.valueMin = 0
bc.categoryAxis.labels.boxAnchor = 'ne'
bc.categoryAxis.labels.dx = 10
bc.categoryAxis.labels.dy = -2
# bc.categoryAxis.labels.angle = 20
bc.valueAxis.labels.fontName = 'Helvetica'
bc.valueAxis.labels.fontSize = 10
bc.valueAxis.strokeWidth = 0.5
bc.valueAxis.strokeColor = colors.HexColor(0x807F83)
bc.categoryAxis.strokeWidth = 0.5
bc.categoryAxis.strokeColor = colors.HexColor(0x807F83)
bc.valueAxis.labels.fillColor = colors.HexColor(0x807F83)
bc.categoryAxis.labels.fontName = 'Helvetica'
bc.categoryAxis.labels.fontSize = 10
bc.categoryAxis.labels.fillColor = colors.HexColor(0x807F83)
bc.categoryAxis.categoryNames = bepuChartCategoryNames
bc.categoryAxis.labels.angle = 30
# create a list and add the elements of our document (image, paragraphs, table, chart) to it
#add our barchart and legend
bc.barWidth = .3 * inch
bc.groupSpacing = .2 * inch
bc.bars.strokeColor = colors.HexColor(0xffffff)
bc.bars.strokeWidth = 0.5
bepu_chart_colors = ['#5894D0', '#F67A40']
for i, r in enumerate(bepuComparedObjKey):
bc.bars[i].fillColor = colors.HexColor(bepu_chart_colors[i])
# = colors.blue
# bc.bars[1].fillColor = colors.lightblue
legend = Legend()
legend.alignment = 'right'
legend.x = bc.width + bc.x + 5
legend.y = bc.height + bc.y
legend.deltax = 40
legend.dxTextSpace = 5
legend.dx = 8
legend.dy = 8
legend.fontName = 'Helvetica'
legend.fillColor = colors.HexColor(0x807F83)
legend.fontSize = 10
legend.boxAnchor = 'nw'
legend.columnMaximum = (len(bc.data) + 1) / 2
legend.strokeWidth = 0.5
legend.strokeColor = colors.HexColor(0xffffff)
legend.deltax = 75
legend.deltay = 12
legend.dividerColor = colors.HexColor(0xdedede)
legend.columnMaximum = len(bepuComparedObjKey)
legend.colorNamePairs = [(bc.bars[i].fillColor, bepuComparedObjKey[i])
for i in xrange(len(bc.data))]
#pseChart.hAlign = 'RIGHT'
label = Label()
label.setOrigin(10, bc.height / 2)
#label.boxAnchor = 'sw'
label.angle = 90
label.fillColor = colors.HexColor(0x807F83)
label.setText('Annual Energy Use (kWh/year)')
label.fontName = 'Helvetica'
bepuComparisonChart.add(label)
bepuComparisonChart.add(legend, 'legend')
bepuComparisonChart.add(bc)
Elements.append(bepuComparisonChart)
Elements.append(PageBreak())
doc.build(Elements)
output_file.seek(0)
# Set filname and mimetype
file_name = 'K-BEAT_export_{}.pdf'.format(
datetime.now().strftime("%Y-%m-%d %H:%M:%S"))
#Returning the file from memory
return send_file(output_file,
attachment_filename=file_name,
as_attachment=True)
