Python Highstock.add_data_from_jsonpの例

コード例 #1

ファイル: Example1-basic-line.py プロジェクト: Walk-ContryRoad/python-highcharts

    4. kwargs are for parameters in series or plotOptions 
        (for detail please ref to highcharts API: http://api.highcharts.com/highcharts#)

In most examples, add_data_from_jsonp method is used to show a similar practice in Highstock Demos 

The following example is from Highstock Demos
Single line series: http://www.highcharts.com/stock/demo/basic-line
"""

from highcharts import Highstock
from highcharts.highstock.highstock_helper import jsonp_loader
H = Highstock()

data_url = 'http://www.highcharts.com/samples/data/jsonp.php?filename=aapl-c.json&callback=?'
H.add_data_from_jsonp(data_url, 'json_data', 'line', 'AAPL', tooltip = {
    'valueDecimals': 2
    }
)

options = {
    'rangeSelector' : {
            'selected' : 1
        },

    'title' : {
        'text' : 'AAPL Stock Price'
    },
}
H.set_dict_options(options)

H.htmlcontent

コード例 #2

ファイル: lazy-loading.py プロジェクト: Walk-ContryRoad/python-highcharts

Highstock Demos
1.7 million points with async loading: http://www.highcharts.com/stock/demo/lazy-loading
"""

"""
This example generates a candlestick chart, which updates (async loading) when a different time period is selected
by the navigation bar due to the large dataset.

Due to the update, this chart requires JS function in the beginning and xAxis.events options.
"""

from highcharts import Highstock
H = Highstock()

data_url = 'http://www.highcharts.com/samples/data/from-sql.php?callback=?'
H.add_data_from_jsonp(data_url, 'json_data', 'candlestick', dataGrouping = {'enabled': False})

script = """json_data = [].concat(json_data, [[Date.UTC(2011, 9, 14, 19, 59), null, null, null, null]]);"""
H.add_JSscript(script, 'head')

H.add_navi_series_from_jsonp() # not really useful, but it shows in highstock demo

options = {
    'chart' : {
        'zoomType': 'x'
    },

    'navigator' : {
        'adaptToUpdatedData': False,
    },

コード例 #3

ファイル: Example1-basic-line.py プロジェクト: e-clair-team/eclair-python-highcharts

        (for detail please ref to highcharts API: http://api.highcharts.com/highcharts#)

In most examples, add_data_from_jsonp method is used to show a similar practice in Highstock Demos 

The following example is from Highstock Demos
Single line series: http://www.highcharts.com/stock/demo/basic-line
"""

from highcharts import Highstock
from highcharts.highstock.highstock_helper import jsonp_loader

H = Highstock()

data_url = 'http://www.highcharts.com/samples/data/jsonp.php?filename=aapl-c.json&callback=?'
H.add_data_from_jsonp(data_url,
                      'json_data',
                      'line',
                      'AAPL',
                      tooltip={'valueDecimals': 2})

options = {
    'rangeSelector': {
        'selected': 1
    },
    'title': {
        'text': 'AAPL Stock Price'
    },
}
H.set_dict_options(options)

H.htmlcontent

コード例 #4

Highstock Demos
1.7 million points with async loading: http://www.highcharts.com/stock/demo/lazy-loading
"""
"""
This example generates a candlestick chart, which updates (async loading) when a different time period is selected
by the navigation bar due to the large dataset.

Due to the update, this chart requires JS function in the beginning and xAxis.events options.
"""

from highcharts import Highstock
H = Highstock()

data_url = 'http://www.highcharts.com/samples/data/from-sql.php?callback=?'
H.add_data_from_jsonp(data_url,
                      'json_data',
                      'candlestick',
                      dataGrouping={'enabled': False})

script = """json_data = [].concat(json_data, [[Date.UTC(2011, 9, 14, 19, 59), null, null, null, null]]);"""
H.add_JSscript(script, 'head')

H.add_navi_series_from_jsonp(
)  # not really useful, but it shows in highstock demo

options = {
    'chart': {
        'zoomType': 'x'
    },
    'navigator': {
        'adaptToUpdatedData': False,
    },