def subplotSingle2x(self,
figNum,
plotNum,
numRows,
numCols,
time,
data,
title='',
units='',
options=''):
print("subplotSingle2x")
plt.figure(figNum)
if title:
self.title = title
if not units:
self.units = units
if self.preTitle:
fig = plt.gcf()
fig.canvas.set_window_title("%s" % (figNum, self.preTitle))
if not figNum in self.sharex.keys():
self.sharex[figNum] = plt.subplot(numRows, numCols, plotNum)
plt.plot(time, data, options)
plt.subplot(numRows, numCols, plotNum, sharex=self.sharex[figNum])
# plt.hold(True);
plt.grid(True)
plt.title("%s" % (self.title))
plt.plot(time, data, options)
plt.ylabel('(%s)' % (self.units))
plt.margins(0.04)
def plot2(self,
figNum,
time1,
data1,
time2,
data2,
title='',
units='',
options=''):
plt.figure(figNum)
# plt.hold(True);
plt.grid(True)
if title:
self.title = title
if not units:
self.units = units
# plt.cla()
if self.preTitle:
fig = plt.gcf()
fig.canvas.set_window_title("Figure %d - %s" %
(figNum, self.preTitle))
plt.title("%s" % (self.title))
plt.plot(time1, data1, options)
plt.plot(time2, data2, options)
plt.ylabel('(%s)' % (self.units))
plt.xlabel('Time (s)')
plt.margins(0.04)
def draw_predictions(self, data, predictions):
from pylab import plt
true, lstm, bp = [], [], []
for i in range(len(predictions)):
true.append(predictions[i][0])
bp.append(predictions[i][1])
lstm.append(predictions[i][2])
x = [1, 2, 3, 4, 5]
plt.plot(x, true, 'cx--', label='true')
plt.plot(x, bp, 'mo:', label='fusion')
plt.plot(x, lstm, 'kp-.', label='lstm')
plt.legend()
plt.margins(0)
plt.subplots_adjust(bottom=0.15)
plt.xlabel(u"days")
plt.ylabel("price")
plt.title("tendency predictions of different models")
plt.savefig('blog/static/blog/bootstrap/img/presult.jpg')
def plot3Axes(self,
figNum,
time,
data,
title='',
units='',
xlabel='Time (s)',
options='',
xlim=None,
ylim=None):
fig = plt.figure(figNum)
# plt.cla()
if title:
self.title = title
if units:
self.units = units
if self.preTitle:
fig.canvas.set_window_title("Figure %d - %s" %
(figNum, self.preTitle))
if not figNum in self.sharex.keys():
self.sharex[figNum] = plt.subplot(3, 1, 1)
# plt.plot(time, data[:,0], options)
# Plot 1
subplt = plt.subplot(3, 1, 1, sharex=self.sharex[figNum])
# plt.hold(True);
plt.grid(True)
plt.title("%s" % (self.title))
plt.ylabel('(%s)' % (self.units))
plt.xlabel(xlabel)
plt.margins(0.04)
if xlim:
subplt.set_xlim(xlim)
if ylim:
subplt.set_ylim(ylim)
if self.timeIsUtc:
dates = [dt.datetime.fromtimestamp(ts) for ts in time]
datenums = md.date2num(dates)
# plt.subplots_adjust(bottom=0.2)
plt.xticks(rotation=25)
ax = plt.gca()
if self.timeIsUtc == 2:
xfmt = md.DateFormatter('%H:%M:%S.%f')
else:
xfmt = md.DateFormatter('%H:%M:%S')
ax.xaxis.set_major_formatter(xfmt)
plt.plot(datenums, data[:, 0], options)
else:
plt.plot(time, data[:, 0], options)
# Plot 2
subplt = plt.subplot(3, 1, 2, sharex=self.sharex[figNum])
# plt.hold(True);
plt.grid(True)
plt.ylabel('(%s)' % (self.units))
plt.xlabel(xlabel)
plt.margins(0.04)
if xlim:
subplt.set_xlim(xlim)
if ylim:
subplt.set_ylim(ylim)
if self.timeIsUtc:
dates = [dt.datetime.fromtimestamp(ts) for ts in time]
datenums = md.date2num(dates)
# plt.subplots_adjust(bottom=0.2)
plt.xticks(rotation=25)
ax = plt.gca()
if self.timeIsUtc == 2:
xfmt = md.DateFormatter('%H:%M:%S.%f')
else:
xfmt = md.DateFormatter('%H:%M:%S')
ax.xaxis.set_major_formatter(xfmt)
plt.plot(datenums, data[:, 1], options)
else:
plt.plot(time, data[:, 1], options)
# Plot 3
subplt = plt.subplot(3, 1, 3, sharex=self.sharex[figNum])
# plt.hold(True);
plt.grid(True)
plt.ylabel('(%s)' % (self.units))
plt.xlabel(xlabel)
plt.margins(0.04)
if xlim:
subplt.set_xlim(xlim)
if ylim:
subplt.set_ylim(ylim)
if self.timeIsUtc:
dates = [dt.datetime.fromtimestamp(ts) for ts in time]
datenums = md.date2num(dates)
# plt.subplots_adjust(bottom=0.2)
plt.xticks(rotation=25)
ax = plt.gca()
if self.timeIsUtc == 2:
xfmt = md.DateFormatter('%H:%M:%S.%f')
else:
xfmt = md.DateFormatter('%H:%M:%S')
ax.xaxis.set_major_formatter(xfmt)
plt.plot(datenums, data[:, 2], options)
else:
plt.plot(time, data[:, 2], options)
# legend(['desire','actual','e/10','e2/10'])
return fig