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{"nodes":[ | ||
{"name":"Agricultural 'waste'"}, | ||
{"name":"Bio-conversion"}, | ||
{"name":"Liquid"}, | ||
{"name":"Losses"}, | ||
{"name":"Solid"}, | ||
{"name":"Gas"}, | ||
{"name":"Biofuel imports"}, | ||
{"name":"Biomass imports"}, | ||
{"name":"Coal imports"}, | ||
{"name":"Coal"}, | ||
{"name":"Coal reserves"}, | ||
{"name":"District heating"}, | ||
{"name":"Industry"}, | ||
{"name":"Heating and cooling - commercial"}, | ||
{"name":"Heating and cooling - homes"}, | ||
{"name":"Electricity grid"}, | ||
{"name":"Over generation / exports"}, | ||
{"name":"H2 conversion"}, | ||
{"name":"Road transport"}, | ||
{"name":"Agriculture"}, | ||
{"name":"Rail transport"}, | ||
{"name":"Lighting & appliances - commercial"}, | ||
{"name":"Lighting & appliances - homes"}, | ||
{"name":"Gas imports"}, | ||
{"name":"Ngas"}, | ||
{"name":"Gas reserves"}, | ||
{"name":"Thermal generation"}, | ||
{"name":"Geothermal"}, | ||
{"name":"H2"}, | ||
{"name":"Hydro"}, | ||
{"name":"International shipping"}, | ||
{"name":"Domestic aviation"}, | ||
{"name":"International aviation"}, | ||
{"name":"National navigation"}, | ||
{"name":"Marine algae"}, | ||
{"name":"Nuclear"}, | ||
{"name":"Oil imports"}, | ||
{"name":"Oil"}, | ||
{"name":"Oil reserves"}, | ||
{"name":"Other waste"}, | ||
{"name":"Pumped heat"}, | ||
{"name":"Solar PV"}, | ||
{"name":"Solar Thermal"}, | ||
{"name":"Solar"}, | ||
{"name":"Tidal"}, | ||
{"name":"UK land based bioenergy"}, | ||
{"name":"Wave"}, | ||
{"name":"Wind"} | ||
], | ||
"links":[ | ||
{"source": "Agricultural 'waste'", "target": "Bio-conversion", "value": 124.729}, | ||
{"source": "Bio-conversion", "target": "Liquid", "value": 0.597}, | ||
{"source": "Bio-conversion", "target": "Losses", "value": 26.862}, | ||
{"source": "Bio-conversion", "target": "Solid", "value": 280.322}, | ||
{"source": "Bio-conversion", "target": "Gas", "value": 81.144}, | ||
{"source": "Biofuel imports", "target": "Liquid", "value": 35}, | ||
{"source": "Biomass imports", "target": "Solid", "value": 35}, | ||
{"source": "Coal imports", "target": "Coal", "value": 11.606}, | ||
{"source": "Coal reserves","target": "Coal", "value": 63.965}, | ||
{"source": "Coal", "target": "Solid", "value": 75.571}, | ||
{"source": "District heating", "target": "Industry", "value": 10.639}, | ||
{"source": "District heating", "target": "Heating and cooling - commercial", "value": 22.505}, | ||
{"source": "District heating", "target": "Heating and cooling - homes", "value": 46.184}, | ||
{"source": "Electricity grid", "target": "Over generation / exports", "value": 104.453}, | ||
{"source": "Electricity grid", "target": "Heating and cooling - homes", "value": 113.726}, | ||
{"source": "Electricity grid", "target": "H2 conversion", "value": 27.14}, | ||
{"source": "Electricity grid", "target": "Industry", "value": 342.165}, | ||
{"source": "Electricity grid", "target": "Road transport", "value": 37.797}, | ||
{"source": "Electricity grid", "target": "Agriculture", "value": 4.412}, | ||
{"source": "Electricity grid", "target": "Heating and cooling - commercial", "value": 40.858}, | ||
{"source": "Electricity grid", "target": "Losses", "value": 56.691}, | ||
{"source": "Electricity grid", "target": "Rail transport", "value": 7.863}, | ||
{"source": "Electricity grid", "target": "Lighting & appliances - commercial", "value": 90.008}, | ||
{"source": "Electricity grid", "target": "Lighting & appliances - homes", "value": 93.494}, | ||
{"source": "Gas imports", "target": "Ngas", "value": 40.719}, | ||
{"source": "Gas reserves", "target": "Ngas", "value": 82.233}, | ||
{"source": "Gas", "target": "Heating and cooling - commercial", "value": 0.129}, | ||
{"source": "Gas", "target": "Losses", "value": 1.401}, | ||
{"source": "Gas", "target": "Thermal generation", "value": 151.891}, | ||
{"source": "Gas", "target": "Agriculture", "value": 2.096}, | ||
{"source": "Gas", "target": "Industry", "value": 48.58}, | ||
{"source": "Geothermal", "target": "Electricity grid", "value": 7.013}, | ||
{"source": "H2 conversion", "target": "H2", "value": 20.897}, | ||
{"source": "H2 conversion", "target": "Losses", "value": 6.242}, | ||
{"source": "H2", "target": "Road transport", "value": 20.897}, | ||
{"source": "Hydro", "target": "Electricity grid", "value": 6.995}, | ||
{"source": "Liquid", "target": "Industry", "value": 121.066}, | ||
{"source": "Liquid", "target": "International shipping", "value": 128.69}, | ||
{"source": "Liquid", "target": "Road transport", "value": 135.835}, | ||
{"source": "Liquid", "target": "Domestic aviation", "value": 14.458}, | ||
{"source": "Liquid", "target": "International aviation", "value": 206.267}, | ||
{"source": "Liquid", "target": "Agriculture", "value": 3.64}, | ||
{"source": "Liquid", "target": "National navigation", "value": 33.218}, | ||
{"source": "Liquid", "target": "Rail transport", "value": 4.413}, | ||
{"source": "Marine algae", "target": "Bio-conversion", "value": 4.375}, | ||
{"source": "Ngas", "target": "Gas", "value": 122.952}, | ||
{"source": "Nuclear", "target": "Thermal generation", "value": 839.978}, | ||
{"source": "Oil imports", "target": "Oil", "value": 504.287}, | ||
{"source": "Oil reserves", "target": "Oil", "value": 107.703}, | ||
{"source": "Oil", "target": "Liquid", "value": 611.99}, | ||
{"source": "Other waste", "target": "Solid", "value": 56.587}, | ||
{"source": "Other waste", "target": "Bio-conversion", "value": 77.81}, | ||
{"source": "Pumped heat", "target": "Heating and cooling - homes", "value": 193.026}, | ||
{"source": "Pumped heat", "target": "Heating and cooling - commercial", "value": 70.672}, | ||
{"source": "Solar PV", "target": "Electricity grid", "value": 59.901}, | ||
{"source": "Solar Thermal", "target": "Heating and cooling - homes", "value": 19.263}, | ||
{"source": "Solar", "target": "Solar Thermal", "value": 19.263}, | ||
{"source": "Solar", "target": "Solar PV", "value": 59.901}, | ||
{"source": "Solid", "target": "Agriculture", "value": 0.882}, | ||
{"source": "Solid", "target": "Thermal generation", "value": 400.12}, | ||
{"source": "Solid", "target": "Industry", "value": 46.477}, | ||
{"source": "Thermal generation", "target": "Electricity grid", "value": 525.531}, | ||
{"source": "Thermal generation", "target": "Losses", "value": 787.129}, | ||
{"source": "Thermal generation", "target": "District heating", "value": 79.329}, | ||
{"source": "Tidal", "target": "Electricity grid", "value": 9.452}, | ||
{"source": "UK land based bioenergy", "target": "Bio-conversion", "value": 182.01}, | ||
{"source": "Wave", "target": "Electricity grid", "value": 19.013}, | ||
{"source": "Wind", "target": "Electricity grid", "value": 289.366} | ||
]} |
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#!/usr/bin/env python | ||
# coding=utf-8 | ||
|
||
from pyecharts.base import Base | ||
from pyecharts.option import get_all_options | ||
|
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|
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class Sankey(Base): | ||
""" | ||
<<< Sankey chart >>> | ||
Sankey graphs are a specific type of streamgraphs, in which the width of each branch is | ||
shown proportionally to the flow quantity. These graphs are typically used to | ||
visualize energy or material or cost transfers between processes. | ||
They can also visualize the energy accounts, material flow accounts on a regional or | ||
national level, and also the breakdown of cost of item or services. | ||
""" | ||
|
||
def __init__(self, title="", subtitle="", **kwargs): | ||
super(Sankey, self).__init__(title, subtitle, **kwargs) | ||
|
||
def add(self, *args, **kwargs): | ||
self.__add(*args, **kwargs) | ||
|
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def __add(self, name, nodes, links, | ||
sankey_node_width=20, | ||
sankey_node_gap=8, | ||
**kwargs): | ||
""" | ||
:param name: | ||
Series name used for displaying in tooltip and filtering with legend, | ||
or updating data and configuration with setOption. | ||
:param nodes: | ||
Relational nodes data | ||
name:Name of data item. # required!! | ||
value: Value of data item. # required!! | ||
:param links: | ||
Relational data between nodes | ||
source:name of source node on edge # required!! | ||
target:name of target node on edge # required!! | ||
value:value of edge,It can be used in the force layout to map to the length of the edge | ||
:param sankey_node_width: | ||
The node width of rectangle in graph. | ||
:param sankey_node_gap: | ||
The gap between any two regtangles in each column from the graph. | ||
:param kwargs: | ||
:return: | ||
""" | ||
chart = get_all_options(**kwargs) | ||
self._option.get('legend')[0].get('data').append(name) | ||
self._option.get('series').append({ | ||
"type": "sankey", | ||
"name": name, | ||
"layout": None, | ||
"data": nodes, | ||
"links": links, | ||
"nodeWidth": sankey_node_width, | ||
"nodeGap": sankey_node_gap, | ||
"label": chart['label'], | ||
"lineStyle": chart['line_style'], | ||
}) | ||
self._legend_visualmap_colorlst(**kwargs) |
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