/
plot_classes.py
617 lines (522 loc) · 25.9 KB
/
plot_classes.py
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# coding=utf8
import numpy as np
import seaborn as sns
import pandas as pd
import matplotlib.pyplot as plt
import defaults
from matplotlib.colors import Normalize
from matplotlib.patches import Wedge, Rectangle
NUM_TIMESTEPS = defaults.NUM_TIMESTEPS
class Production_Consumption_Plot:
def __init__(self, ax, width=24*4):
self.ax = ax
self.width = width
self.load_data()
self.plot_init()
def load_data(self):
# Load price data...
# TEMP: Load fixed wind/solar data
resultstore = pd.HDFStore('Data/tempstore.h5')
self.energydf = resultstore['energydf']
resultstore.close()
resultstore = pd.HDFStore('Data/outputdatastore.h5')
scenarios = resultstore['scenarios']
windpens = resultstore['windpens']
solarpens = resultstore['solarpens']
self.resdict = {}
for scenario in scenarios[:2]:
for windpen in windpens:
for solarpen in solarpens:
resdir = '/'.join(map(str, (scenario, windpen, solarpen)))
self.resdict[scenario, windpen, solarpen] = resultstore[resdir + '/energydf']
resultstore.close()
self.wind = windpens[0]
self.solar = solarpens[0]
self.scenario = scenarios[0]
self.energydf = self.resdict[self.scenario, self.wind, self.solar]
self.xtimes = np.arange(len(self.energydf.index))
self.yload = self.energydf.demand.values/1000.
self.ywind = self.energydf.windused.values/1000.
self.ysolar = self.energydf.solarused.values/1000.
pass
def plot_init(self):
self.areas = self.draw_netloadgraph()
self.curtime_line = self.ax.axvline(0, c='k', alpha=0.5, lw=3, zorder=10)
self.ax.set_xlim(0, self.width)
self.ax.set_ylim(0, 400)
def animate(self, i):
self.curtime_line.set_xdata([i, i])
left_border = min(max(i-self.width/2, 0)+self.width, len(self.xtimes))-self.width
self.ax.set_xlim((left_border, left_border+self.width))
return [self.ax]
def update_wind(self, val):
self.wind = float(str(val))
self.load_new_data()
self.update_areaplot()
def update_solar(self, val):
self.solar = float(str(val))
self.load_new_data()
self.update_areaplot()
def update_scenario(self, val):
self.scenario = val
self.load_new_data()
self.update_areaplot()
def load_new_data(self):
self.energydf = self.resdict[self.scenario, self.wind, self.solar]
self.ywind = self.energydf.windused.values/1000.
self.ysolar = self.energydf.solarused.values/1000.
def update_areaplot(self):
fbw, fbs, fbl = self.areas
update_fill_between(fbw, self.xtimes, 0*self.ywind, self.ywind)
update_fill_between(fbs, self.xtimes, self.ywind, self.ywind + self.ysolar)
update_fill_between(fbl, self.xtimes, self.ywind + self.ysolar, self.yload)
def draw_netloadgraph(self):
graphs = []
graphs.append(self.ax.fill_between(self.xtimes, 0*self.ywind, self.ywind, color=sns.xkcd_rgb['sky blue'], zorder=0))
graphs.append(self.ax.fill_between(self.xtimes, self.ywind, self.ywind + self.ysolar, color=sns.xkcd_rgb['pale yellow'], zorder=1))
graphs.append(self.ax.fill_between(self.xtimes, self.ywind + self.ysolar, self.yload, color=sns.xkcd_rgb['pale red'], zorder=-1))
self.areas = graphs
return graphs
def update_fill_between(fb, x, y1, y2):
import numpy as np
p = fb.get_paths()[0]
# Length of fill_between
l = (p.vertices.shape[0]-3)/2.
if not (len(x) == l and len(y1) == l and len(y2) == l):
print l
print len(x)
print len(y1)
print len(y2)
raise ValueError('Length of arrays do not correspond to fill_between\'s vertices.')
p.vertices[:, 0] = np.concatenate(([x[0]], x, [x[-1]], x[::-1], [x[0]]))
p.vertices[:, 1] = np.concatenate(([y2[0]], y1, [y2[-1]], y2[::-1], [y2[0]]))
class WindMap:
def __init__(self, ax):
self.ax = ax
self.i = 0
self.load_data()
self.plot_init()
def load_data(self):
store = pd.HDFStore('Data/presstore.h5')
self.solarp = store['/bg/solar']
self.windp = store['/bg/wind']
store.close()
self.times = self.solarp.items.values
self.lats = self.solarp.major_axis.values
self.lons = self.solarp.minor_axis.values
self.loncut = [self.lons.searchsorted(defaults.LLCRNRLON), self.lons.searchsorted(defaults.URCRNRLON)+1]
self.latcut = [self.lats.searchsorted(defaults.LLCRNRLAT), self.lats.searchsorted(defaults.URCRNRLAT)+1]
self.lats = self.lats[self.latcut[0]:self.latcut[1]]
self.lons = self.lons[self.loncut[0]:self.loncut[1]]
self.windp = self.windp.iloc[:, self.latcut[0]:self.latcut[1], self.loncut[0]:self.loncut[1]]
self.solarp = self.solarp.iloc[:, self.latcut[0]:self.latcut[1], self.loncut[0]:self.loncut[1]]
self.curtype = 'wind'
self.update_curarray()
self.zeroarray = np.zeros_like(self.windp.values[0, :-1, :-1])
def plot_init(self):
self.bgcontour = self.ax.pcolormesh(
self.lons, self.lats,
self.windp.values[self.i], cmap=plt.cm.Blues,
zorder=1, vmin=defaults.MINWIND, vmax=defaults.MAXWIND)
def set_bg(self, val):
self.curtype = val
self.update_curarray()
self.update_cmap()
self.update_range()
self.update_plot()
def animate(self, i):
self.i = i
self.update_plot()
if self.curtype in ['wind', 'solar']:
return [self.bgcontour]
else:
return []
def update_plot(self):
if self.curtype == 'wind' or self.curtype == 'solar':
self.bgcontour.set_array(self.curarray[self.i, :-1, :-1].ravel())
else:
self.bgcontour.set_array(self.zeroarray.ravel())
def update_curarray(self):
if self.curtype == 'wind':
self.curarray = self.windp.values
elif self.curtype == 'solar':
self.curarray = self.solarp.values
else:
self.curarray = self.zeroarray
def update_cmap(self):
if self.curtype == 'wind':
self.bgcontour.set_cmap(plt.cm.Blues)
elif self.curtype == 'solar':
self.bgcontour.set_cmap(plt.cm.YlOrBr_r)
else:
self.bgcontour.set_cmap(plt.cm.gray)
def update_range(self):
if self.curtype == 'wind':
self.bgcontour.set_norm(Normalize(defaults.MINWIND, defaults.MAXWIND))
elif self.curtype == 'solar':
self.bgcontour.set_norm(Normalize(defaults.MINSOLAR, defaults.MAXSOLAR))
else:
self.bgcontour.set_norm(Normalize(-1, 0))
class Network_Plot:
def __init__(self, ax):
self.ax = ax
self.i = 0
self.load_data()
self.plot_init()
def load_data(self):
import networkx as nx
from load_fnct import load_network
self.nx = nx
self.G = load_network()
self.pos = nx.get_node_attributes(self.G, 'pos')
self.nodelist = self.G.nodes()
self.edgelist = self.G.edges()
resultstore = pd.HDFStore('Data/outputdatastore.h5')
scenarios = resultstore['scenarios']
windpens = resultstore['windpens']
solarpens = resultstore['solarpens']
self.pricesdict = {}
for scenario in scenarios[:2]:
for windpen in windpens:
for solarpen in solarpens:
resdir = '/'.join(map(str, (scenario, windpen, solarpen)))
self.pricesdict[scenario, windpen, solarpen] = resultstore[resdir + '/prices'][self.nodelist]
resultstore.close()
self.wind = windpens[0]
self.solar = solarpens[0]
self.scenario = scenarios[0]
self.prices = self.pricesdict[self.scenario, self.wind, self.solar]
def plot_init(self):
nx = self.nx
self.nodeplot = nx.draw_networkx_nodes(
self.G, pos=self.pos,
node_color=self.prices.values[0], nodelist=self.nodelist,
node_size=30, zorder=10, cmap=plt.cm.RdYlGn_r,
vmin=defaults.MINPRICE, vmax=defaults.MAXPRICE)
darkpal = sns.dark_palette(sns.xkcd_rgb['blood red'], as_cmap=True)
self.edgeplot = nx.draw_networkx_edges(
self.G, pos=self.pos,
edge_color=sns.xkcd_rgb['dark grey'],
# edge_color=self.relflows.values[0], edge_cmap=darkpal,
edgelist=self.edgelist, zorder=9,
width=2.0, vmin=0, vmax=1)
def animate(self, i):
self.nodeplot.set_array(self.prices.values[i])
# self.edgeplot.set_array(self.relflows.values[i])
return [self.edgeplot, self.nodeplot]
def update_wind(self, val):
self.wind = float(str(val))
self.prices = self.pricesdict[self.scenario, self.wind, self.solar]
def update_solar(self, val):
self.solar = float(str(val))
self.prices = self.pricesdict[self.scenario, self.wind, self.solar]
def update_scenario(self, val):
self.scenario = val
self.prices = self.pricesdict[self.scenario, self.wind, self.solar]
class Network_Plot_Edge_Flows:
def __init__(self, ax):
self.ax = ax
self.i = 0
self.load_data()
self.plot_init()
def load_data(self):
import networkx as nx
from load_fnct import load_network
self.nx = nx
self.G = load_network()
self.pos = nx.get_node_attributes(self.G, 'pos')
self.nodelist = self.G.nodes()
self.edgelist = self.G.edges()
resultstore = pd.HDFStore('Data/tempstore.h5')
self.prices = resultstore['prices'][self.nodelist]
self.flows = resultstore['flows'][self.edgelist]
self.flowmaxes = resultstore['flowmaxes'][self.edgelist]
resultstore.close()
self.relflows = self.flows.abs()/self.flowmaxes
def plot_init(self):
nx = self.nx
self.nodeplot = nx.draw_networkx_nodes(
self.G, pos=self.pos,
node_color=self.prices.values[0], nodelist=self.nodelist,
node_size=30, zorder=10, cmap=plt.cm.RdYlGn_r,
vmin=defaults.MINPRICE, vmax=defaults.MAXPRICE)
darkpal = sns.dark_palette(sns.xkcd_rgb['blood red'], as_cmap=True)
self.edgeplot = nx.draw_networkx_edges(
self.G, pos=self.pos,
# edge_color=sns.xkcd_rgb['dark grey'],
edge_color=self.relflows.values[0], edge_cmap=darkpal,
edgelist=self.edgelist, zorder=9,
width=2.0, vmin=0, vmax=1)
def animate(self, i):
self.nodeplot.set_array(self.prices.values[i])
self.edgeplot.set_array(self.relflows.values[i])
return [self.edgeplot, self.nodeplot]
def update_wind(self, val):
pass
def update_solar(self, val):
pass
def update_scenario(self, val):
pass
class Pieplots:
def __init__(self, ax):
self.ax = ax
ax.set_ylim([0, 10])
ax.set_xlim([-10, 32])
self.fontsize = 16
self.initial_offset = 90
self.formatspec = '{:.00f}%'
self.load_data()
self.plot_init()
def load_data(self):
self.bbox_props = dict(boxstyle="round", fc="w", ec="0.5", alpha=0.9)
resultstore = pd.HDFStore('Data/outputdatastore.h5')
scenarios = resultstore['scenarios']
windpens = resultstore['windpens']
solarpens = resultstore['solarpens']
resultstore.close()
meanstore = pd.HDFStore('Data/meandatastore.h5')
self.energydfdict = {}
self.profitdict = {}
for scenario in scenarios[:2]:
for windpen in windpens:
for solarpen in solarpens:
resdir = '/'.join(map(str, (scenario, windpen, solarpen)))
self.energydfdict[scenario, windpen, solarpen] = meanstore[resdir + '/energydfsum']
self.profitdict[scenario, windpen, solarpen] = meanstore[resdir + '/profitsum']
meanstore.close()
self.wind = windpens[0]
self.solar = solarpens[0]
self.scenario = scenarios[0]
self.load_new_dfs()
pass
def update_wind(self, val):
self.wind = float(str(val))
self.load_new_dfs()
self.update_plots()
def update_solar(self, val):
self.solar = float(str(val))
self.load_new_dfs()
self.update_plots()
def update_scenario(self, val):
self.scenario = val
self.load_new_dfs()
self.update_plots()
def load_new_dfs(self):
self.energydfsum = self.energydfdict[self.scenario, self.wind, self.solar]
self.profitsum = self.profitdict[self.scenario, self.wind, self.solar]
self.windused_rel = min(self.energydfsum.windused, self.energydfsum.windavailable)/(self.energydfsum.windavailable + 0.1)
self.solarused_rel = min(self.energydfsum.solarused, self.energydfsum.solaravailable)/(self.energydfsum.solaravailable + 0.1)
self.solardemand_rel = self.energydfsum.solarused/self.energydfsum.demand
self.winddemand_rel = self.energydfsum.windused/self.energydfsum.demand
self.renewdemand_rel = (self.energydfsum.windused + self.energydfsum.solarused)/self.energydfsum.demand
pass
def update_plots(self):
self.update_wedges()
self.update_rects()
self.update_texts()
def get_artists(self):
artists = [
self.ax.patch,
self.windtitle, self.solartitle, self.loadtitle, self.costtitle,
self.windused_W, self.windspill_W,
self.solarused_W, self.solarspill_W,
self.loadused_wind_W, self.loadused_solar_W, self.loadspill_W,
self.loadrect, self.fuelrect, self.gensrect, self.windrect, self.solarrect, self.tsorect,
self.ploadtext, self.pfueltext, self.pgenstext, self.pwindtext, self.psolartext, self.ploadtext,
self.windtext, self.solartext, self.loadtext]
return artists
def update_wedges(self):
wtheta = self.initial_offset+360*self.windused_rel
stheta = self.initial_offset+360*self.solarused_rel
wltheta = self.initial_offset+360*self.winddemand_rel
sltheta = self.initial_offset+360*(self.winddemand_rel + self.solardemand_rel)
self.windused_W.set_theta2(wtheta)
self.windspill_W.set_theta1(wtheta)
self.solarused_W.set_theta2(stheta)
self.solarspill_W.set_theta1(stheta)
self.loadused_wind_W.set_theta2(wltheta)
self.loadused_solar_W.set_theta1(wltheta)
self.loadused_solar_W.set_theta2(sltheta)
self.loadspill_W.set_theta1(sltheta)
def update_rects(self):
ptot, pfuel, pgens, pwind, psolar = self.profitsum.load, self.profitsum.gencost, self.profitsum.genrevenue-self.profitsum.gencost, self.profitsum.wind, self.profitsum.solar
hfuel, hgens, hwind, hsolar = self.rect_height*pfuel/ptot, self.rect_height*pgens/ptot, self.rect_height*pwind/ptot, self.rect_height*psolar/ptot
self.update_rectangle(self.fuelrect, [3.3+20, 10+-9.7], 2, hfuel)
self.update_rectangle(self.gensrect, [3.3+20, 10+-9.7+hfuel], 2, hgens,)
self.update_rectangle(self.windrect, [3.3+20, 10+-9.7+hfuel+hgens], 2, hwind)
self.update_rectangle(self.solarrect, [3.3+20, 10+-9.7+hfuel+hgens+hwind], 2, hsolar)
self.update_rectangle(self.tsorect, [3.3+20, 10+-9.7+hfuel+hgens+hwind+hsolar], 2, self.rect_height-(hfuel+hgens+hwind+hsolar))
def update_rectangle(self, rect, xy, w, h):
rect.set_xy(xy)
rect.set_height(h)
rect.set_width(w)
def update_texts(self):
ptot, pfuel, pgens, pwind, psolar = self.profitsum.load, self.profitsum.gencost, self.profitsum.genrevenue-self.profitsum.gencost, self.profitsum.wind, self.profitsum.solar
self.pfueltext.set_text(u'Fuel {:.00f}M€'.format(pfuel/1e6))
self.pgenstext.set_text(u'Gens {:.00f}M€'.format(pgens/1e6))
self.pwindtext.set_text(u'Wind {:.00f}M€'.format(pwind/1e6))
self.psolartext.set_text(u'Solar {:.00f}M€'.format(psolar/1e6))
self.ploadtext.set_text(u'{:.00f}M€'.format(ptot/1e6))
self.windtext.set_text(self.formatspec.format(100*self.windused_rel))
self.solartext.set_text(self.formatspec.format(100*self.solarused_rel))
self.loadtext.set_text(self.formatspec.format(100*self.renewdemand_rel))
def plot_init(self):
self.rect_height = 7.6
self.plot_wind_pie()
self.plot_solar_pie()
self.plot_load_pie()
self.plot_cost_share()
def plot_wind_pie(self):
wind_center = [-5, 4]
winduse_color = sns.xkcd_rgb['sky blue']
windspill_color = sns.xkcd_rgb['pale blue']
self.windused_W = Wedge(
center=wind_center, r=3.9,
theta1=self.initial_offset, theta2=self.initial_offset+360*self.windused_rel,
facecolor=winduse_color)
self.windspill_W = Wedge(
center=wind_center, r=3.7,
theta1=self.initial_offset+360*self.windused_rel, theta2=360+self.initial_offset,
facecolor=windspill_color)
self.ax.add_patch(self.windused_W)
self.ax.add_patch(self.windspill_W)
self.windtext = self.ax.annotate(self.formatspec.format(100*self.windused_rel), xy=[20+-10+5, 1], xytext=[-5, 1], va='bottom', ha='center', fontsize=self.fontsize, bbox=self.bbox_props)
self.windtitle = self.ax.annotate('Wind used', xy=[-5, 8.1], xytext=[-5, 8.1], va='bottom', ha='center', fontsize=self.fontsize)
pass
def plot_solar_pie(self):
solar_center = [5, 4]
solaruse_color = sns.xkcd_rgb['pale yellow']
solarspill_color = sns.xkcd_rgb['sunflower']
self.solarused_W = Wedge(
center=solar_center, r=3.9,
theta1=self.initial_offset, theta2=self.initial_offset+360*self.solarused_rel,
facecolor=solaruse_color)
self.solarspill_W = Wedge(
center=solar_center, r=3.7,
theta1=self.initial_offset+360*self.solarused_rel, theta2=360+self.initial_offset,
facecolor=solarspill_color)
self.ax.add_patch(self.solarused_W)
self.ax.add_patch(self.solarspill_W)
self.solartext = self.ax.annotate(self.formatspec.format(100*self.solarused_rel), xy=[5, 1], xytext=[5, 1], va='bottom', ha='center', fontsize=self.fontsize, bbox=self.bbox_props)
self.solartitle = self.ax.annotate('Solar used', xy=[5, 8.1], xytext=[5, 8.1], va='bottom', ha='center', fontsize=self.fontsize)
pass
def plot_load_pie(self):
load_center = [-5+20, -6+10]
solaruse_color = sns.xkcd_rgb['pale yellow']
winduse_color = sns.xkcd_rgb['sky blue']
loaduse_color = sns.xkcd_rgb['pale green']
loadspill_color = sns.xkcd_rgb['pale brown']
self.loadused_wind_W = Wedge(
center=load_center, r=3.9,
theta1=self.initial_offset, theta2=self.initial_offset+360*self.winddemand_rel,
facecolor=winduse_color)
self.loadused_solar_W = Wedge(
center=load_center, r=3.9,
theta1=self.initial_offset+360*self.winddemand_rel, theta2=self.initial_offset+360*self.winddemand_rel+360*self.solardemand_rel,
facecolor=solaruse_color)
self.loadspill_W = Wedge(
center=load_center, r=3.7,
theta1=self.initial_offset+360*self.renewdemand_rel, theta2=360+self.initial_offset,
facecolor=loadspill_color)
self.ax.add_patch(self.loadused_wind_W)
self.ax.add_patch(self.loadused_solar_W)
self.ax.add_patch(self.loadspill_W)
self.loadtext = self.ax.annotate(self.formatspec.format(100*self.renewdemand_rel), xy=[-5+20, -9+10], xytext=[-5+20, -9+10], va='bottom', ha='center', fontsize=self.fontsize, bbox=self.bbox_props)
self.loadtitle = self.ax.annotate('Load share', xy=[-5+20, 8.1-10+10], xytext=[-5+20, 8.1-10+10], va='bottom', ha='center', fontsize=self.fontsize)
pass
def plot_cost_share(self):
ptot, pfuel, pgens, pwind, psolar = self.profitsum.load, self.profitsum.gencost, self.profitsum.genrevenue-self.profitsum.gencost, self.profitsum.wind, self.profitsum.solar
hfuel, hgens, hwind, hsolar = self.rect_height*pfuel/ptot, self.rect_height*pgens/ptot, self.rect_height*pwind/ptot, self.rect_height*psolar/ptot
self.loadrect = self.ax.add_patch(Rectangle([0.3+20, 10+-9.7], 2, self.rect_height, facecolor=sns.xkcd_rgb['pale red']))
self.fuelrect = self.ax.add_patch(Rectangle([3.3+20, 10+-9.7], 2, hfuel, facecolor=sns.xkcd_rgb['brown']))
self.gensrect = self.ax.add_patch(Rectangle([3.3+20, 10+-9.7+hfuel], 2, hgens, facecolor=sns.xkcd_rgb['pale brown']))
self.windrect = self.ax.add_patch(Rectangle([3.3+20, 10+-9.7+hfuel+hgens], 2, hwind, facecolor=sns.xkcd_rgb['pale blue']))
self.solarrect = self.ax.add_patch(Rectangle([3.3+20, 10+-9.7+hfuel+hgens+hwind], 2, hsolar, facecolor=sns.xkcd_rgb['pale yellow']))
self.tsorect = self.ax.add_patch(Rectangle([3.3+20, 10+-9.7+hfuel+hgens+hwind+hsolar], 2, 7.6-(hfuel+hgens+hwind+hsolar), facecolor=sns.xkcd_rgb['dark grey']))
self.pfueltext = self.ax.annotate(u'Fuel {:.00f}M€'.format(pfuel/1e6), xy=[20+5.5, 10+-9.7], xytext=[20+5.5, 10+-9.7], va='bottom', ha='left', fontsize=self.fontsize)
self.pgenstext = self.ax.annotate(u'Gens {:.00f}M€'.format(pgens/1e6), xy=[20+5.5, 10+-9.7+1.9], xytext=[20+5.5, 10+-9.7+1.9], va='bottom', ha='left', fontsize=self.fontsize)
self.pwindtext = self.ax.annotate(u'Wind {:.00f}M€'.format(pwind/1e6), xy=[20+5.5, 10+-9.7+2*1.9], xytext=[20+5.5, 10+-9.7+2*1.9], va='bottom', ha='left', fontsize=self.fontsize)
self.psolartext = self.ax.annotate(u'Solar {:.00f}M€'.format(psolar/1e6), xy=[20+5.5, 10+-9.7+3*1.9], xytext=[20+5.5, 10+-9.7+3*1.9], va='bottom', ha='left', fontsize=self.fontsize)
self.ploadtext = self.ax.annotate(u'{:.00f}M€'.format(ptot/1e6), xy=[20+0.3, 10+-9.7], xytext=[20+0.3, 10+-9.7], va='bottom', ha='left', fontsize=self.fontsize, bbox=self.bbox_props)
self.costtitle = self.ax.annotate(u'Payments', xy=[23, 8.1], va='bottom', ha='center', fontsize=self.fontsize)
pass
class Priceplot:
def __init__(self, ax, width=24*4):
self.ax = ax
self.width = width
self.load_data()
self.plot_init()
def load_data(self):
resultstore = pd.HDFStore('Data/outputdatastore.h5')
scenarios = resultstore['scenarios']
windpens = resultstore['windpens']
solarpens = resultstore['solarpens']
resultstore.close()
meanstore = pd.HDFStore('Data/meandatastore.h5')
self.pricemeandict = {}
self.pricestddict = {}
self.priceqsdict = {}
for scenario in scenarios[:2]:
for windpen in windpens:
for solarpen in solarpens:
resdir = '/'.join(map(str, (scenario, windpen, solarpen)))
self.pricemeandict[scenario, windpen, solarpen] = meanstore[resdir + '/pricemean']
self.pricestddict[scenario, windpen, solarpen] = meanstore[resdir + '/pricemean']
self.priceqsdict[scenario, windpen, solarpen] = meanstore[resdir + '/priceqs']
meanstore.close()
self.wind = windpens[0]
self.solar = solarpens[0]
self.scenario = scenarios[0]
self.yprice = self.pricemeandict[self.scenario, self.wind, self.solar]
self.xtimes = np.arange(len(self.yprice))
self.ypricestd = self.pricestddict[self.scenario, self.wind, self.solar]
self.ypriceqs = self.priceqsdict[self.scenario, self.wind, self.solar]
pass
def load_new_prices(self):
self.yprice = self.pricemeandict[self.scenario, self.wind, self.solar]
self.ypricestd = self.pricestddict[self.scenario, self.wind, self.solar]
self.ypriceqs = self.priceqsdict[self.scenario, self.wind, self.solar]
pass
def plot_init(self):
self.areas = self.draw_quantile_areas()
self.lines = self.draw_pricegraph()
self.curtime_line = self.ax.axvline(0, c='k', alpha=0.5, lw=3, zorder=10)
self.ax.set_xlim(0, self.width)
def animate(self, i):
self.curtime_line.set_xdata([i, i])
left_border = min(max(i-self.width/2, 0)+self.width, len(self.xtimes))-self.width
self.ax.set_xlim((left_border, left_border+self.width))
return [self.ax]
def update_wind(self, val):
self.wind = float(str(val))
self.load_new_prices()
self.update_priceplot()
def update_solar(self, val):
self.solar = float(str(val))
self.load_new_prices()
self.update_priceplot()
def update_scenario(self, val):
self.scenario = val
self.load_new_prices()
self.update_priceplot()
def update_priceplot(self):
lm, lplus, lminus = self.lines
lm.set_ydata(self.yprice)
lplus.set_ydata(self.yprice + self.ypricestd)
lminus.set_ydata(self.yprice - self.ypricestd)
a10, a25 = self.areas
update_fill_between(a10, self.xtimes, self.ypriceqs.q10, self.ypriceqs.q90)
update_fill_between(a25, self.xtimes, self.ypriceqs.q25, self.ypriceqs.q75)
def draw_pricegraph(self):
lines = []
lines.append(self.ax.plot(self.xtimes, self.yprice, ls='-', lw=3, color=sns.xkcd_rgb['charcoal'])[0])
lines.append(self.ax.plot(self.xtimes, self.yprice+self.ypricestd, ls='-', lw=2, color=sns.xkcd_rgb['charcoal'], alpha=0.5)[0])
lines.append(self.ax.plot(self.xtimes, self.yprice-self.ypricestd, ls='-', lw=2, color=sns.xkcd_rgb['charcoal'], alpha=0.5)[0])
self.lines = lines
return lines
def draw_quantile_areas(self):
areas = []
areas.append(self.ax.fill_between(self.xtimes, self.ypriceqs.q10, self.ypriceqs.q90, color=sns.xkcd_rgb['deep green'], alpha=0.3))
areas.append(self.ax.fill_between(self.xtimes, self.ypriceqs.q25, self.ypriceqs.q75, color=sns.xkcd_rgb['deep green'], alpha=0.3))
self.areas = areas
return areas