def define_config():
"""Defines some configuration settings for the pygal plot."""
config = Config()
config.show_legend = False
config.human_readable = True
config.fill = False
config.height = 1000
config.width = 2000
config.x_label_rotation = 300
config.show_legend = False
config.x_labels_major_every = 200 # 200
config.show_minor_x_labels = False
config.show_dots = False
config.fill = True
config.logarithmic = False
return config
def make_chart_pygal(model_name, chart_id, options):
points = make_points(model_name, chart_id)
''' options '''
if options.get('color') == options.get('bg_color'):
color_to_contrast = options.get('color', '#292928')
options['bg_color'], options['color'] = get_contrasted_colors(
color_to_contrast)
scatter_plot = options.get('flag_scatter_plot', False)
show_grid = options.get('flag_show_grid', True)
logscale_y = options.get('flag_logscale_y', False)
pygal_config = PygalConfig()
pygal_config.show_dots = False
pygal_config.style = PygalStyle(colors=(options.get('color', 'black'), ),
plot_background=options.get(
'bg_color', '#cccccc'))
stroke_options = dict()
if scatter_plot:
pygal_config.stroke = True
stroke_options['dasharray'] = '10, 20'
if logscale_y:
pygal_config.logarithmic = True
stroke_options['width'] = options.get('line_width', 2)
pygal_config.stroke_style = stroke_options
pygal_config.title = options.get('title', 'Pygal')
pygal_config.show_x_guides = show_grid
pygal_config.show_y_guides = show_grid
chart = pygal.XY(pygal_config, width=600, height=600)
chart.add(options.get('y_label', 'y'), points)
return chart
def drawdensityfigure(techlist, par):
config = Config()
config.show_legend = True
config.human_readable = True
config.dots_size = 3
config.x_label_rotation = 270
config.legend_at_bottom = True
if par == "gravimetric":
power_unit = "[W/kg]"
energy_unit = "[Wh/kg]"
else:
power_unit = "[kW/m^3]"
energy_unit = "[kWh/m^3]"
config.x_title = par + " power density " + power_unit
config.y_title = par + " energy density " + energy_unit
#config.show_dots = False
config.logarithmic = True
config.fill = True
#config.show_minor_x_labels = False
config.stroke_style = {'width': 1}
config.style = pygal.style.styles['default'](
label_font_size=12,
stroke_opacity=0,
stroke_opacity_hover=0,
transition='100000000000s ease-in')
xy_chart = pygal.XY(config)
xmin = 10000
ymin = 10000
xmax = 0.001
ymax = 0.001
for tech in techlist:
power_minstring = par + "_power_density_min"
power_maxstring = par + "_power_density_max"
energy_minstring = par + "_energy_density_min"
energy_maxstring = par + "_energy_density_max"
minpowerlink = ''
maxpowerlink = ''
minenergylink = ''
maxenergylink = ''
minpowerlabel = ''
maxpowerlabel = ''
minenergylabel = ''
maxenergylabel = ''
if Source.query.filter_by(id=Parameter.query.filter_by(
technology_name=tech.name).filter_by(name=power_minstring).
first().source_id).first() is not None:
minpowerlink = Source.query.filter_by(id=Parameter.query.filter_by(
technology_name=tech.name).filter_by(
name=power_minstring).first().source_id).first().link
minpowerlabel = 'min. power density: ' + Source.query.filter_by(
id=Parameter.query.filter_by(
technology_name=tech.name).filter_by(name=power_minstring).
first().source_id).first().author + ', ' + str(
Source.query.filter_by(id=Parameter.query.filter_by(
technology_name=tech.name).filter_by(
name=power_minstring).first().source_id).first().
releaseyear)
if Source.query.filter_by(id=Parameter.query.filter_by(
technology_name=tech.name).filter_by(name=power_maxstring).
first().source_id).first() is not None:
maxpowerlink = Source.query.filter_by(id=Parameter.query.filter_by(
technology_name=tech.name).filter_by(
name=power_maxstring).first().source_id).first().link
maxpowerlabel = 'max. power density: ' + Source.query.filter_by(
id=Parameter.query.filter_by(
technology_name=tech.name).filter_by(name=power_maxstring).
first().source_id).first().author + ', ' + str(
Source.query.filter_by(id=Parameter.query.filter_by(
technology_name=tech.name).filter_by(
name=power_maxstring).first().source_id).first().
releaseyear)
if Source.query.filter_by(id=Parameter.query.filter_by(
technology_name=tech.name).filter_by(name=energy_minstring).
first().source_id).first() is not None:
minenergylink = Source.query.filter_by(
id=Parameter.query.filter_by(
technology_name=tech.name).filter_by(
name=energy_minstring).first().source_id).first().link
minenergylabel = 'min. energy density: ' + Source.query.filter_by(
id=Parameter.query.filter_by(
technology_name=tech.name).filter_by(name=energy_minstring)
.first().source_id).first().author + ', ' + str(
Source.query.filter_by(id=Parameter.query.filter_by(
technology_name=tech.name).filter_by(
name=energy_minstring).first().source_id).first().
releaseyear)
if Source.query.filter_by(id=Parameter.query.filter_by(
technology_name=tech.name).filter_by(name=energy_maxstring).
first().source_id).first() is not None:
maxenergylink = Source.query.filter_by(
id=Parameter.query.filter_by(
technology_name=tech.name).filter_by(
name=energy_maxstring).first().source_id).first().link
maxenergylabel = 'max. energy density: ' + Source.query.filter_by(
id=Parameter.query.filter_by(
technology_name=tech.name).filter_by(name=energy_maxstring)
.first().source_id).first().author + ', ' + str(
Source.query.filter_by(id=Parameter.query.filter_by(
technology_name=tech.name).filter_by(
name=energy_maxstring).first().source_id).first().
releaseyear)
xy_chart.add(f"{tech.name}", [{
'value':
(Parameter.query.filter_by(technology_name=tech.name).filter_by(
name=power_minstring).first().value,
Parameter.query.filter_by(technology_name=tech.name).filter_by(
name=energy_minstring).first().value),
'label':
minenergylabel,
'xlink': {
'href': minenergylink,
'target': '_blank'
}
}, {
'value':
(Parameter.query.filter_by(technology_name=tech.name).filter_by(
name=power_minstring).first().value,
Parameter.query.filter_by(technology_name=tech.name).filter_by(
name=energy_maxstring).first().value),
'label':
minpowerlabel,
'xlink': {
'href': minpowerlink,
'target': '_blank'
}
}, {
'value':
(Parameter.query.filter_by(technology_name=tech.name).filter_by(
name=power_maxstring).first().value,
Parameter.query.filter_by(technology_name=tech.name).filter_by(
name=energy_maxstring).first().value),
'label':
maxenergylabel,
'xlink': {
'href': maxenergylink,
'target': '_blank'
}
}, {
'value':
(Parameter.query.filter_by(technology_name=tech.name).filter_by(
name=power_maxstring).first().value,
Parameter.query.filter_by(technology_name=tech.name).filter_by(
name=energy_minstring).first().value),
'label':
maxpowerlabel,
'xlink': {
'href': maxpowerlink,
'target': '_blank'
}
}, {
'value':
(Parameter.query.filter_by(technology_name=tech.name).filter_by(
name=power_minstring).first().value,
Parameter.query.filter_by(technology_name=tech.name).filter_by(
name=energy_minstring).first().value),
'label':
minenergylabel,
'xlink': {
'href': minenergylink,
'target': '_blank'
}
}])
if Parameter.query.filter_by(technology_name=tech.name).filter_by(
name=power_minstring).first().value is not None:
xmin = min(
xmin,
Parameter.query.filter_by(technology_name=tech.name).filter_by(
name=power_minstring).first().value)
xmax = max(
xmax,
Parameter.query.filter_by(technology_name=tech.name).filter_by(
name=power_maxstring).first().value)
if Parameter.query.filter_by(technology_name=tech.name).filter_by(
name=energy_minstring).first().value is not None:
ymin = min(
ymin,
Parameter.query.filter_by(technology_name=tech.name).filter_by(
name=energy_minstring).first().value)
ymax = max(
ymax,
Parameter.query.filter_by(technology_name=tech.name).filter_by(
name=energy_maxstring).first().value)
xy_chart.xrange = (10**int(math.floor(math.log10(xmin))),
10**(int(math.floor(math.log10(xmax))) + 1) + 1)
xy_chart.range = (10**int(math.floor(math.log10(ymin))),
10**(int(math.floor(math.log10(ymax))) + 1) + 1)
xy_chart.render()
return xy_chart.render_data_uri()
chartCfg.fill = False chartCfg.x_scale = 1 chartCfg.y_scale = 1 chartCfg.x_label_rotation = 45 chartCfg.include_x_axis = True chartCfg.show_dots=False if nMaxDataCount > 0: chartCfg.show_minor_x_labels=False chartCfg.x_labels_major_count=nMaxDataCount chartCfg.js = [ 'svg.jquery.js','pygal-tooltips.js' ] # Use script from local # chartCfg.style = LightSolarizedStyle chartCfg.print_values = False chartCfg.print_zeroes = True chartCfg.no_data_text = "All values are 0" if bLogarithmicChart: chartCfg.logarithmic=True # Makes chart Y-Axis data more readable # Create Linechart if bLineChart: myChart = pygal.Line(chartCfg) myChart.title = 'Line Chart of "' + szInput + '"' myChart.x_title = "Time elasped in seconds" myChart.x_labels = map(str, aData[aFields[0]] ) # myChart.x_labels_major = map(str, aMajorXData ) for iChartNum in range(3, len(aFields) ): myChart.add(aFields[iChartNum], aData[ aFields[iChartNum] ]) # Add some values # Create BarChart elif bBarChart: myChart = pygal.Bar(chartCfg) myChart.title = 'Bar Chart of "' + szInput + '"' myChart.x_title = "Time elasped in seconds"
chartCfg.fill = False
chartCfg.x_scale = 1
chartCfg.y_scale = 1
chartCfg.x_label_rotation = 45
chartCfg.include_x_axis = True
chartCfg.show_dots = False
if nMaxDataCount > 0:
chartCfg.show_minor_x_labels = False
chartCfg.x_labels_major_count = nMaxDataCount
#chartCfg.style = DefaultStyle #LightSolarizedStyle
chartCfg.style = RotateStyle('#FF0000')
chartCfg.print_values = True #False
chartCfg.print_zeroes = True
chartCfg.no_data_text = "All values are 0"
if bLogarithmicChart:
chartCfg.logarithmic = True # Makes chart Y-Axis data more readable
# remove first item if configured!
if bDeltaIgnoreFirstValue:
for iChartNum in range(3, len(aFields)):
if aCounters is None or aFields[iChartNum] in aCounters:
aData[aFields[iChartNum]].pop(0)
# Create Linechart
if bLineChart:
myChart = pygal.Line(chartCfg)
myChart.title = 'Line Chart of "' + szChartName + '"'
myChart.x_title = "Time elasped in seconds"
myChart.x_labels = map(str, aData[aFields[0]])
# myChart.x_labels_major = map(str, aMajorXData )
for iChartNum in range(3, len(aFields)):
