In [6]:

    

import nvd3
                                                                                       
def example_data():
    return [
        {
            "key": "Cumulative Return",
            "values": [
                {
                    "label" : "A Label" ,
                    "value" : -29.765957771107
                },
                {
                    "label" : "B Label" ,
                    "value" : 0
                },
                {
                    "label" : "C Label" ,
                    "value" : 32.807804682612
                },
                {
                    "label" : "D Label" ,
                    "value" : 196.45946739256
                },
                {
                    "label" : "E Label" ,
                    "value" : 0.19434030906893
                },
                {
                    "label" : "F Label" ,
                    "value" : -98.079782601442
                },
                {
                    "label" : "G Label" ,
                    "value" : -13.925743130903
                },
                {
                    "label" : "H Label" ,
                    "value" : -5.1387322875705
                }
            ]
        }
    ]

chart = nvd3.DiscreteBarChart()
chart.x("function(d) { return d.label }")  # Specify the data
                                           # accessors.
chart.y("function(d) { return d.value }")
chart.staggerLabels(True)  # Too many bars and not enough room? Try
                           # staggering labels.
chart.tooltip.enabled(False)  # Don't show tooltips
chart.discretebar.showValues(True)  # ...instead, show the bar value
                                    # right on top of each bar.
chart.duration(350)
                     
data_supplier = nvd3.StaticDataSupplier(example_data())
nvd3.IPythonContainer(chart, data_supplier, width=600, height=400)


    

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