plotly-extension

Plotly(data: list, layout: dict)



In [8]:

    
from IPython.display import display

def Plotly(data=[], layout={}):
    bundle = {}
    bundle['application/vnd.plotly.v1+json'] = {
        'data': data,
        'layout': layout,
    }
    display(bundle, raw=True)

data = [
    {'x': [1999, 2000, 2001, 2002], 'y': [10, 15, 13, 17], 'type': 'scatter'},
    {'x': [1999, 2000, 2001, 2002], 'y': [16, 5, 11, 9], 'type': 'scatter'}
]

layout = {
    'title': 'Sales Growth',
    'xaxis': {'title': 'Year', 'showgrid': False, 'zeroline': False},
    'yaxis': {'title': 'Percent', 'showline': False}
}

Plotly(data, layout)

plotly.offline.iplot(figure: plotly.graph_objs.graph_objs.Heatmap)

Using plotly library



In [1]:

    
import plotly
    
trace = plotly.graph_objs.Heatmap(z=[[1, 20, 30],
                      [20, 1, 60],
                      [30, 60, 1]])
fig = dict(data=[trace])

plotly.offline.iplot(fig)

plotly.offline.iplot(figure: Dict)



In [2]:

    
import plotly
import numpy as np

data = [dict(
    visible=False,
    line=dict(color='00CED1', width=6),
    name='v ' + str(step),
    x=np.arange(0,10,0.01),
    y=np.sin(step+np.arange(0,10,0.01))
) for step in np.arange(0,5,0.1)]

data[10]['visible'] = True

fig = dict(data=data)

plotly.offline.iplot(fig)

plotly.offline.iplot(figure: {data: List, layout: Dict, frames: List)



In [25]:

    
import plotly
from IPython.display import display, HTML
import pandas as pd

url = 'https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv'
dataset = pd.read_csv(url)

years = ['1952', '1962', '1967', '1972', '1977', '1982', '1987', '1992', '1997', '2002', '2007']
# make list of continents
continents = []
for continent in dataset['continent']:
    if continent not in continents:
        continents.append(continent)
# make figure
figure = {
    'data': [],
    'layout': {},
    'frames': []
}

# fill in most of layout
figure['layout']['xaxis'] = {'range': [30, 85], 'title': 'Life Expectancy'}
figure['layout']['yaxis'] = {'title': 'GDP per Capita', 'type': 'log'}
figure['layout']['hovermode'] = 'closest'
figure['layout']['sliders'] = {
    'args': [
        'transition', {
            'duration': 400,
            'easing': 'cubic-in-out'
        }
    ],
    'initialValue': '1952',
    'plotlycommand': 'animate',
    'values': years,
    'visible': True
}
figure['layout']['updatemenus'] = [
    {
        'buttons': [
            {
                'args': [None, {'frame': {'duration': 500, 'redraw': False},
                         'fromcurrent': True, 'transition': {'duration': 300, 'easing': 'quadratic-in-out'}}],
                'label': 'Play',
                'method': 'animate'
            },
            {
                'args': [[None], {'frame': {'duration': 0, 'redraw': False}, 'mode': 'immediate',
                'transition': {'duration': 0}}],
                'label': 'Pause',
                'method': 'animate'
            }
        ],
        'direction': 'left',
        'pad': {'r': 10, 't': 87},
        'showactive': False,
        'type': 'buttons',
        'x': 0.1,
        'xanchor': 'right',
        'y': 0,
        'yanchor': 'top'
    }
]

sliders_dict = {
    'active': 0,
    'yanchor': 'top',
    'xanchor': 'left',
    'currentvalue': {
        'font': {'size': 20},
        'prefix': 'Year:',
        'visible': True,
        'xanchor': 'right'
    },
    'transition': {'duration': 300, 'easing': 'cubic-in-out'},
    'pad': {'b': 10, 't': 50},
    'len': 0.9,
    'x': 0.1,
    'y': 0,
    'steps': []
}

# make data
year = 1952
for continent in continents:
    dataset_by_year = dataset[dataset['year'] == year]
    dataset_by_year_and_cont = dataset_by_year[dataset_by_year['continent'] == continent]

    data_dict = {
        'x': list(dataset_by_year_and_cont['lifeExp']),
        'y': list(dataset_by_year_and_cont['gdpPercap']),
        'mode': 'markers',
        'text': list(dataset_by_year_and_cont['country']),
        'marker': {
            'sizemode': 'area',
            'sizeref': 200000,
            'size': list(dataset_by_year_and_cont['pop'])
        },
        'name': continent
    }
    figure['data'].append(data_dict)
    
# make frames
for year in years:
    frame = {'data': [], 'name': str(year)}
    for continent in continents:
        dataset_by_year = dataset[dataset['year'] == int(year)]
        dataset_by_year_and_cont = dataset_by_year[dataset_by_year['continent'] == continent]

        data_dict = {
            'x': list(dataset_by_year_and_cont['lifeExp']),
            'y': list(dataset_by_year_and_cont['gdpPercap']),
            'mode': 'markers',
            'text': list(dataset_by_year_and_cont['country']),
            'marker': {
                'sizemode': 'area',
                'sizeref': 200000,
                'size': list(dataset_by_year_and_cont['pop'])
            },
            'name': continent
        }
        frame['data'].append(data_dict)

    figure['frames'].append(frame)
    slider_step = {'args': [
        [year],
        {'frame': {'duration': 300, 'redraw': False},
         'mode': 'immediate',
       'transition': {'duration': 300}}
     ],
     'label': year,
     'method': 'animate'}
    sliders_dict['steps'].append(slider_step)

    
figure['layout']['sliders'] = [sliders_dict]

plotly.offline.iplot(figure)



In [ ]: