In [1]:

    

from pycharts.charts.pie_chart import PieChart
from pycharts.highcharts_plotter import HighChartsPlotter

data = [
                    ['Firefox',   45.0],
                    ['IE',       26.8],
                    ['Chrome', 12.8],
                    ['Safari',    8.5],
                    ['Opera',     6.2],
                    ['Others',   0.7]
        ]

data_label = "Browser share"

title = "Browser market shares at a specific website, 2014"

piechart = PieChart(title, data_label, data)

print piechart.to_javascript()

plotter = HighChartsPlotter()
plotter.plot(piechart)


    

    




{chart: {type: 'pie', backgroundColor: '#FFFFFF'}, title: {text: 'Browser market shares at a specific website, 2014'}, plotOptions: {pie: {allowPointSelect: true, cursor: 'pointer', dataLabels: {enabled: false}, showInLegend: true},}, series: [{name: 'Browser share',data: [['Firefox', 45.0], ['IE', 26.8], ['Chrome', 12.8], ['Safari', 8.5], ['Opera', 6.2], ['Others', 0.7]]},]}






    
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In [2]:

    

from pycharts.charts.stacked_bar_chart import StackedBarChart

title = "How do tourists spend their money?"

categories = ['Americans', 'Italians', 'Chinese', 'Brazilians', 'Germans']

data = [
                ('Bakery', [5, 3, 4, 7, 2]),
                ('Bars and Restaurants', [2, 2, 4, 3, 8]),
                ('Shopping', [10, 8, 7, 6, 9]),
                ('Jewelry', [5, 5, 2, 3, 3]),
                ('Hotel', [8, 8, 6, 7, 6])
]

y_title = 'Total money spent'

# stackedchart = StackedBarChart(title, categories, data, y_title=y_title, stacking="normal")
stackedchart = StackedBarChart(title, categories, data, y_title=y_title, stacking="percent") 

print stackedchart.to_javascript()

plotter = HighChartsPlotter()
plotter.plot(stackedchart)


    

    




{chart: {type: 'bar', backgroundColor: '#FFFFFF'}, title: {text: 'How do tourists spend their money?'}, xAxis: {categories: ['Americans', 'Italians', 'Chinese', 'Brazilians', 'Germans'], title: {text: ''}}, yAxis: {title: {text: 'Total money spent'}}, legend: {reversed: true}, plotOptions: {bar: {stacking: 'percent'},}, series: [{name: 'Bakery',data: [5, 3, 4, 7, 2]},{name: 'Bars and Restaurants',data: [2, 2, 4, 3, 8]},{name: 'Shopping',data: [10, 8, 7, 6, 9]},{name: 'Jewelry',data: [5, 5, 2, 3, 3]},{name: 'Hotel',data: [8, 8, 6, 7, 6]},]}






    
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In [3]:

    

from pycharts.charts.bubble_chart import BubbleChart
from pycharts.highcharts_plotter import HighChartsPlotter

title = "How does income, life expectancy and population size relate in each continent?"
x_title = "income"
y_title = "life expectancy"

data = [('Latin America', [[97, 36, 79], [94, 74, 60], [68, 76, 58], [64, 87, 56], [68, 27, 73], [74, 99, 42], [7, 93, 87], [51, 69, 40], [38, 23, 33], [57, 86, 31]]),
        ('Asia', [[25, 10, 180], [2, 75, 190], [11, 54, 8], [86, 55, 93], [5, 3, 58], [90, 63, 44], [91, 33, 17], [97, 3, 56], [15, 67, 48], [54, 25, 81]]),
        ('Africa', [[47, 47, 10], [20, 12, 4], [6, 76, 17], [38, 30, 6], [57, 98, 8], [61, 17, 10], [83, 60, 13], [67, 78, 50], [64, 12, 10], [30, 77, 82]])]


bubblechart = BubbleChart(title, data, x_title, y_title)
print bubblechart.to_javascript()
plotter = HighChartsPlotter()
plotter.plot(bubblechart)


    

    




{chart: {type: 'bubble', backgroundColor: '#FFFFFF'}, title: {text: 'How does income, life expectancy and population size relate in each continent?'}, xAxis: {title: {text: 'income'}}, yAxis: {title: {text: 'life expectancy'}}, series: [{name: 'Latin America',data: [[97, 36, 79], [94, 74, 60], [68, 76, 58], [64, 87, 56], [68, 27, 73], [74, 99, 42], [7, 93, 87], [51, 69, 40], [38, 23, 33], [57, 86, 31]]},{name: 'Asia',data: [[25, 10, 180], [2, 75, 190], [11, 54, 8], [86, 55, 93], [5, 3, 58], [90, 63, 44], [91, 33, 17], [97, 3, 56], [15, 67, 48], [54, 25, 81]]},{name: 'Africa',data: [[47, 47, 10], [20, 12, 4], [6, 76, 17], [38, 30, 6], [57, 98, 8], [61, 17, 10], [83, 60, 13], [67, 78, 50], [64, 12, 10], [30, 77, 82]]},]}






    
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In [4]:

    

from pycharts.charts.area_chart import AreaChart
from pycharts.highcharts_plotter import HighChartsPlotter

title = "What is the browser market share across time?"

data = [('Firefox', [[2009, 30], [2010, 47], [2011, 35], [2012, 46], [2013, 34], [2014, 40]]),
        ('IE', [[2009, 50], [2010, 45], [2011, 46], [2012, 40], [2013, 35], [2014, 30]]),
        ('Chrome', [[2009, 10], [2010, 14], [2011, 20], [2012, 26], [2013, 34], [2014, 40]]),
        ('Safari', [[2009, 10], [2010, 11], [2011, 12], [2012, 11], [2013, 13], [2014, 15]])]

x_title = "years"
y_title = "share"

# areachart = AreaChart(title, data, stacking=None, x_title=x_title, y_title=y_title)
# areachart = AreaChart(title, data, stacking="normal", x_title=x_title, y_title=y_title)
areachart = AreaChart(title, data, stacking="percent", x_title=x_title, y_title=y_title)
print areachart.to_javascript()
plotter = HighChartsPlotter()
plotter.plot(areachart)


    

    




{chart: {type: 'area', backgroundColor: '#FFFFFF'}, title: {text: 'What is the browser market share across time?'}, xAxis: {title: {text: 'years'}}, yAxis: {title: {text: 'share'}}, plotOptions: {area: {stacking: 'percent'},}, series: [{name: 'Firefox',data: [[2009, 30], [2010, 47], [2011, 35], [2012, 46], [2013, 34], [2014, 40]]},{name: 'IE',data: [[2009, 50], [2010, 45], [2011, 46], [2012, 40], [2013, 35], [2014, 30]]},{name: 'Chrome',data: [[2009, 10], [2010, 14], [2011, 20], [2012, 26], [2013, 34], [2014, 40]]},{name: 'Safari',data: [[2009, 10], [2010, 11], [2011, 12], [2012, 11], [2013, 13], [2014, 15]]},]}






    
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In [5]:

    

from pycharts.charts.bubble_map import BubbleMap
from pycharts.highcharts_plotter import HighChartsPlotter

title = "Where do tourists spend money?"

data = [('Americans', [[10, 47.23, 8.04], [14, 47.33, 8.14], [15, 46.48, 9.49]]),
        ('Italians', [[7, 46.48, 08.49], [9, 46.12, 6.09], [20, 46.10, 8.47]]),
        ('Chinese', [[20, 47.22, 8.32], [23, 47.0, 8.18], [19, 47.1, 8.31]])]

country_code = 'ch'

bubblemap = BubbleMap(title, data, country_code)
print bubblemap.to_javascript()
plotter = HighChartsPlotter()
plotter.plot(bubblemap)


    

    




'Map', {title: {text: 'Where do tourists spend money?'}, series: [ { type: 'map', showInLegend: false,mapData: Highcharts.maps['countries/ch/ch-all'] },{ type: 'mapbubble', name: 'Americans', maxSize: '12%',data: [{ z: 10,lat: 47.23,lon: 8.04,}, { z: 14,lat: 47.33,lon: 8.14,}, { z: 15,lat: 46.48,lon: 9.49,}, ]},{ type: 'mapbubble', name: 'Italians', maxSize: '12%',data: [{ z: 7,lat: 46.48,lon: 8.49,}, { z: 9,lat: 46.12,lon: 6.09,}, { z: 20,lat: 46.1,lon: 8.47,}, ]},{ type: 'mapbubble', name: 'Chinese', maxSize: '12%',data: [{ z: 20,lat: 47.22,lon: 8.32,}, { z: 23,lat: 47.0,lon: 8.18,}, { z: 19,lat: 47.1,lon: 8.31,}, ]},], }






    
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In [7]:

    

from pycharts.charts.heat_map_chart import HeatMapChart
from pycharts.highcharts_plotter import HighChartsPlotter

title = "How many sales per employee per weekday?"

data = [('Sales per Employee',[['Alex', 'Monday', 130], ['Alex', 'Tuesday', 19], ['Alex', 'Wednesday', 8], ['Alex', 'Thursday', 24],['Alex','Friday',67],
 ['Mary', 'Monday', 54], ['Mary', 'Tuesday', 32], ['Mary', 'Wednesday', 12], ['Mary', 'Thursday', 23],['Mary','Friday',80],
 ['Max', 'Monday', 10], ['Max', 'Tuesday', 9], ['Max', 'Wednesday', 28], ['Max', 'Thursday', 44],['Max','Friday',90],
 ['Sophie', 'Monday', 140], ['Sophie', 'Tuesday', 80], ['Sophie', 'Wednesday', 68], ['Sophie', 'Thursday', 55],['Sophie','Friday',70]])]

heatmap = HeatMapChart(title, data)

print heatmap.to_javascript()

plotter = HighChartsPlotter()
plotter.plot(heatmap)


    

    




{chart: {type: 'heatmap', backgroundColor: '#FFFFFF'}, title: {text: 'How many sales per employee per weekday?'}, colorAxis: { min: 0 }, xAxis: {categories: ['Alex', 'Mary', 'Max', 'Sophie'], title: {text: ''}}, yAxis: {categories: ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday'], title: {text: ''}}, series: [{name: 'Sales per Employee',data: [[0, 0, 130], [0, 1, 19], [0, 2, 8], [0, 3, 24], [0, 4, 67], [1, 0, 54], [1, 1, 32], [1, 2, 12], [1, 3, 23], [1, 4, 80], [2, 0, 10], [2, 1, 9], [2, 2, 28], [2, 3, 44], [2, 4, 90], [3, 0, 140], [3, 1, 80], [3, 2, 68], [3, 3, 55], [3, 4, 70]]},]}






    
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In [7]:

    

from pycharts.charts.column_chart import ColumnChart
from pycharts.highcharts_plotter import HighChartsPlotter

title = "Who spends more money in Zurich?"
x_title = ""
x_categories = ['Chinese', 'Italians', 'Americans', 'Germans']
y_title = "Money in CHF"

data = [('Money per Nationality', [270, 155, 100, 80])]

columnchart = ColumnChart(title, data, x_title, y_title, x_categories)
print columnchart.to_javascript()
plotter = HighChartsPlotter()
plotter.plot(columnchart)


    

    




{chart: {type: 'column', backgroundColor: '#FFFFFF'}, title: {text: 'Who spends more money in Zurich?'}, xAxis: {categories: ['Chinese', 'Italians', 'Americans', 'Germans'], title: {text: ''}}, yAxis: {title: {text: 'Money in CHF'}}, series: [{name: 'Money per Nationality',data: [270, 155, 100, 80]},]}






    
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In [8]:

    

from pycharts.charts.line_chart import LineChart
from pycharts.highcharts_plotter import HighChartsPlotter

title = "What is the monthly average temperature in each city?"
y_title = "Temperature"
x_categories = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun',
                'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']
data = [('Tokyo',[7.0, 6.9, 9.5, 14.5, 18.2, 21.5, 25.2, 26.5, 23.3, 18.3, 13.9, 9.6]),
         ('New York',[-0.2, 0.8, 5.7, 11.3, 17.0, 22.0, 24.8, 24.1, 20.1, 14.1, 8.6, 2.5]),
         ('Berlin',[-0.9, 0.6, 3.5, 8.4, 13.5, 17.0, 18.6, 17.9, 14.3, 9.0, 3.9, 1.0]), 
         ('London',[3.9, 4.2, 5.7, 8.5, 11.9, 15.2, 17.0, 16.6, 14.2, 10.3, 6.6, 4.8])]

linechart = LineChart(title=title, data=data, y_title=y_title, x_categories=x_categories)
print linechart.to_javascript()
plotter = HighChartsPlotter()
plotter.plot(linechart)


    

    




{chart: {type: 'line', backgroundColor: '#FFFFFF'}, title: {text: 'What is the monthly average temperature in each city?'}, xAxis: {categories: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'], title: {text: ''}}, yAxis: {title: {text: 'Temperature'}}, series: [{name: 'Tokyo',data: [7.0, 6.9, 9.5, 14.5, 18.2, 21.5, 25.2, 26.5, 23.3, 18.3, 13.9, 9.6]},{name: 'New York',data: [-0.2, 0.8, 5.7, 11.3, 17.0, 22.0, 24.8, 24.1, 20.1, 14.1, 8.6, 2.5]},{name: 'Berlin',data: [-0.9, 0.6, 3.5, 8.4, 13.5, 17.0, 18.6, 17.9, 14.3, 9.0, 3.9, 1.0]},{name: 'London',data: [3.9, 4.2, 5.7, 8.5, 11.9, 15.2, 17.0, 16.6, 14.2, 10.3, 6.6, 4.8]},]}






    
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In [9]:

    

from pycharts.charts.scatter_chart import ScatterChart
from pycharts.highcharts_plotter import HighChartsPlotter

title = "How does height and weight relate for each gender?"
x_title = "Height (cm)"
y_title = "Weight (kg)"

data = [('Female', [[161.2, 51.6], [167.5, 59.0], [159.5, 49.2], [157.0, 63.0], [155.8, 53.6],
                [170.0, 59.0], [159.1, 47.6], [166.0, 69.8], [176.2, 66.8], [160.2, 75.2],
                [172.5, 55.2], [170.9, 54.2], [172.9, 62.5], [153.4, 42.0], [160.0, 50.0],
                [147.2, 49.8], [168.2, 49.2], [175.0, 73.2], [157.0, 47.8], [167.6, 68.8],
                [159.5, 50.6], [175.0, 82.5], [166.8, 57.2], [176.5, 87.8], [170.2, 72.8],
                [174.0, 54.5], [173.0, 59.8], [179.9, 67.3], [170.5, 67.8], [160.0, 47.0],
                [154.4, 46.2], [162.0, 55.0], [176.5, 83.0], [160.0, 54.4], [152.0, 45.8],
                [162.1, 53.6], [170.0, 73.2], [160.2, 52.1], [161.3, 67.9], [166.4, 56.6],
                [168.9, 62.3], [163.8, 58.5], [167.6, 54.5], [160.0, 50.2], [161.3, 60.3],
                [167.6, 58.3], [165.1, 56.2], [160.0, 50.2], [170.0, 72.9], [157.5, 59.8],
                [167.6, 61.0], [160.7, 69.1], [163.2, 55.9], [152.4, 46.5], [157.5, 54.3],
                [168.3, 54.8], [180.3, 60.7], [165.5, 60.0], [165.0, 62.0], [164.5, 60.3],
                [156.0, 52.7], [160.0, 74.3], [163.0, 62.0], [165.7, 73.1], [161.0, 80.0],
                [162.0, 54.7], [166.0, 53.2], [174.0, 75.7], [172.7, 61.1], [167.6, 55.7],
                [151.1, 48.7], [164.5, 52.3], [163.5, 50.0], [152.0, 59.3], [169.0, 62.5],
                [164.0, 55.7], [161.2, 54.8], [155.0, 45.9], [170.0, 70.6], [176.2, 67.2],
                [170.0, 69.4], [162.5, 58.2], [170.3, 64.8], [164.1, 71.6], [169.5, 52.8],
                [163.2, 59.8], [154.5, 49.0], [159.8, 50.0], [173.2, 69.2], [170.0, 55.9],
                [161.4, 63.4], [169.0, 58.2], [166.2, 58.6], [159.4, 45.7], [162.5, 52.2],
                [159.0, 48.6], [162.8, 57.8], [159.0, 55.6], [179.8, 66.8], [162.9, 59.4],
                [161.0, 53.6], [151.1, 73.2], [168.2, 53.4], [168.9, 69.0], [173.2, 58.4],
                [171.8, 56.2], [178.0, 70.6], [164.3, 59.8], [163.0, 72.0], [168.5, 65.2],
                [166.8, 56.6], [172.7, 105.2], [163.5, 51.8], [169.4, 63.4], [167.8, 59.0],
                [159.5, 47.6], [167.6, 63.0], [161.2, 55.2], [160.0, 45.0], [163.2, 54.0],
                [162.2, 50.2], [161.3, 60.2], [149.5, 44.8], [157.5, 58.8], [163.2, 56.4],
                [172.7, 62.0], [155.0, 49.2], [156.5, 67.2], [164.0, 53.8], [160.9, 54.4],
                [162.8, 58.0], [167.0, 59.8], [160.0, 54.8], [160.0, 43.2], [168.9, 60.5],
                [158.2, 46.4], [156.0, 64.4], [160.0, 48.8], [167.1, 62.2], [158.0, 55.5],
                [167.6, 57.8], [156.0, 54.6], [162.1, 59.2], [173.4, 52.7], [159.8, 53.2],
                [170.5, 64.5], [159.2, 51.8], [157.5, 56.0], [161.3, 63.6], [162.6, 63.2],
                [160.0, 59.5], [168.9, 56.8], [165.1, 64.1], [162.6, 50.0], [165.1, 72.3],
                [166.4, 55.0], [160.0, 55.9], [152.4, 60.4], [170.2, 69.1], [162.6, 84.5],
                [170.2, 55.9], [158.8, 55.5], [172.7, 69.5], [167.6, 76.4], [162.6, 61.4],
                [167.6, 65.9], [156.2, 58.6], [175.2, 66.8], [172.1, 56.6], [162.6, 58.6],
                [160.0, 55.9], [165.1, 59.1], [182.9, 81.8], [166.4, 70.7], [165.1, 56.8],
                [177.8, 60.0], [165.1, 58.2], [175.3, 72.7], [154.9, 54.1], [158.8, 49.1],
                [172.7, 75.9], [168.9, 55.0], [161.3, 57.3], [167.6, 55.0], [165.1, 65.5],
                [175.3, 65.5], [157.5, 48.6], [163.8, 58.6], [167.6, 63.6], [165.1, 55.2],
                [165.1, 62.7], [168.9, 56.6], [162.6, 53.9], [164.5, 63.2], [176.5, 73.6],
                [168.9, 62.0], [175.3, 63.6], [159.4, 53.2], [160.0, 53.4], [170.2, 55.0],
                [162.6, 70.5], [167.6, 54.5], [162.6, 54.5], [160.7, 55.9], [160.0, 59.0],
                [157.5, 63.6], [162.6, 54.5], [152.4, 47.3], [170.2, 67.7], [165.1, 80.9],
                [172.7, 70.5], [165.1, 60.9], [170.2, 63.6], [170.2, 54.5], [170.2, 59.1],
                [161.3, 70.5], [167.6, 52.7], [167.6, 62.7], [165.1, 86.3], [162.6, 66.4],
                [152.4, 67.3], [168.9, 63.0], [170.2, 73.6], [175.2, 62.3], [175.2, 57.7],
                [160.0, 55.4], [165.1, 104.1], [174.0, 55.5], [170.2, 77.3], [160.0, 80.5],
                [167.6, 64.5], [167.6, 72.3], [167.6, 61.4], [154.9, 58.2], [162.6, 81.8],
                [175.3, 63.6], [171.4, 53.4], [157.5, 54.5], [165.1, 53.6], [160.0, 60.0],
                [174.0, 73.6], [162.6, 61.4], [174.0, 55.5], [162.6, 63.6], [161.3, 60.9],
                [156.2, 60.0], [149.9, 46.8], [169.5, 57.3], [160.0, 64.1], [175.3, 63.6],
                [169.5, 67.3], [160.0, 75.5], [172.7, 68.2], [162.6, 61.4], [157.5, 76.8],
                [176.5, 71.8], [164.4, 55.5], [160.7, 48.6], [174.0, 66.4], [163.8, 67.3]]), 
        ('Male', [[174.0, 65.6], [175.3, 71.8], [193.5, 80.7], [186.5, 72.6], [187.2, 78.8],
                [181.5, 74.8], [184.0, 86.4], [184.5, 78.4], [175.0, 62.0], [184.0, 81.6],
                [180.0, 76.6], [177.8, 83.6], [192.0, 90.0], [176.0, 74.6], [174.0, 71.0],
                [184.0, 79.6], [192.7, 93.8], [171.5, 70.0], [173.0, 72.4], [176.0, 85.9],
                [176.0, 78.8], [180.5, 77.8], [172.7, 66.2], [176.0, 86.4], [173.5, 81.8],
                [178.0, 89.6], [180.3, 82.8], [180.3, 76.4], [164.5, 63.2], [173.0, 60.9],
                [183.5, 74.8], [175.5, 70.0], [188.0, 72.4], [189.2, 84.1], [172.8, 69.1],
                [170.0, 59.5], [182.0, 67.2], [170.0, 61.3], [177.8, 68.6], [184.2, 80.1],
                [186.7, 87.8], [171.4, 84.7], [172.7, 73.4], [175.3, 72.1], [180.3, 82.6],
                [182.9, 88.7], [188.0, 84.1], [177.2, 94.1], [172.1, 74.9], [167.0, 59.1],
                [169.5, 75.6], [174.0, 86.2], [172.7, 75.3], [182.2, 87.1], [164.1, 55.2],
                [163.0, 57.0], [171.5, 61.4], [184.2, 76.8], [174.0, 86.8], [174.0, 72.2],
                [177.0, 71.6], [186.0, 84.8], [167.0, 68.2], [171.8, 66.1], [182.0, 72.0],
                [167.0, 64.6], [177.8, 74.8], [164.5, 70.0], [192.0, 101.6], [175.5, 63.2],
                [171.2, 79.1], [181.6, 78.9], [167.4, 67.7], [181.1, 66.0], [177.0, 68.2],
                [174.5, 63.9], [177.5, 72.0], [170.5, 56.8], [182.4, 74.5], [197.1, 90.9],
                [180.1, 93.0], [175.5, 80.9], [180.6, 72.7], [184.4, 68.0], [175.5, 70.9],
                [180.6, 72.5], [177.0, 72.5], [177.1, 83.4], [181.6, 75.5], [176.5, 73.0],
                [175.0, 70.2], [174.0, 73.4], [165.1, 70.5], [177.0, 68.9], [192.0, 102.3],
                [176.5, 68.4], [169.4, 65.9], [182.1, 75.7], [179.8, 84.5], [175.3, 87.7],
                [184.9, 86.4], [177.3, 73.2], [167.4, 53.9], [178.1, 72.0], [168.9, 55.5],
                [157.2, 58.4], [180.3, 83.2], [170.2, 72.7], [177.8, 64.1], [172.7, 72.3],
                [165.1, 65.0], [186.7, 86.4], [165.1, 65.0], [174.0, 88.6], [175.3, 84.1],
                [185.4, 66.8], [177.8, 75.5], [180.3, 93.2], [180.3, 82.7], [177.8, 58.0],
                [177.8, 79.5], [177.8, 78.6], [177.8, 71.8], [177.8, 116.4], [163.8, 72.2],
                [188.0, 83.6], [198.1, 85.5], [175.3, 90.9], [166.4, 85.9], [190.5, 89.1],
                [166.4, 75.0], [177.8, 77.7], [179.7, 86.4], [172.7, 90.9], [190.5, 73.6],
                [185.4, 76.4], [168.9, 69.1], [167.6, 84.5], [175.3, 64.5], [170.2, 69.1],
                [190.5, 108.6], [177.8, 86.4], [190.5, 80.9], [177.8, 87.7], [184.2, 94.5],
                [176.5, 80.2], [177.8, 72.0], [180.3, 71.4], [171.4, 72.7], [172.7, 84.1],
                [172.7, 76.8], [177.8, 63.6], [177.8, 80.9], [182.9, 80.9], [170.2, 85.5],
                [167.6, 68.6], [175.3, 67.7], [165.1, 66.4], [185.4, 102.3], [181.6, 70.5],
                [172.7, 95.9], [190.5, 84.1], [179.1, 87.3], [175.3, 71.8], [170.2, 65.9],
                [193.0, 95.9], [171.4, 91.4], [177.8, 81.8], [177.8, 96.8], [167.6, 69.1],
                [167.6, 82.7], [180.3, 75.5], [182.9, 79.5], [176.5, 73.6], [186.7, 91.8],
                [188.0, 84.1], [188.0, 85.9], [177.8, 81.8], [174.0, 82.5], [177.8, 80.5],
                [171.4, 70.0], [185.4, 81.8], [185.4, 84.1], [188.0, 90.5], [188.0, 91.4],
                [182.9, 89.1], [176.5, 85.0], [175.3, 69.1], [175.3, 73.6], [188.0, 80.5],
                [188.0, 82.7], [175.3, 86.4], [170.5, 67.7], [179.1, 92.7], [177.8, 93.6],
                [175.3, 70.9], [182.9, 75.0], [170.8, 93.2], [188.0, 93.2], [180.3, 77.7],
                [177.8, 61.4], [185.4, 94.1], [168.9, 75.0], [185.4, 83.6], [180.3, 85.5],
                [174.0, 73.9], [167.6, 66.8], [182.9, 87.3], [160.0, 72.3], [180.3, 88.6],
                [167.6, 75.5], [186.7, 101.4], [175.3, 91.1], [175.3, 67.3], [175.9, 77.7],
                [175.3, 81.8], [179.1, 75.5], [181.6, 84.5], [177.8, 76.6], [182.9, 85.0],
                [177.8, 102.5], [184.2, 77.3], [179.1, 71.8], [176.5, 87.9], [188.0, 94.3],
                [174.0, 70.9], [167.6, 64.5], [170.2, 77.3], [167.6, 72.3], [188.0, 87.3],
                [174.0, 80.0], [176.5, 82.3], [180.3, 73.6], [167.6, 74.1], [188.0, 85.9],
                [180.3, 73.2], [167.6, 76.3], [183.0, 65.9], [183.0, 90.9], [179.1, 89.1],
                [170.2, 62.3], [177.8, 82.7], [179.1, 79.1], [190.5, 98.2], [177.8, 84.1],
                [180.3, 83.2], [180.3, 83.2]])]
scatterchart = ScatterChart(title, data, x_title, y_title)
plotter = HighChartsPlotter()
plotter.plot(scatterchart)


    

    
Out[9]:




 
        
        
        
Re-run cell if chart is not shown ...
        
        

In [ ]: