def __init__(self, data):
self.X = data.T[0]
self.Y = data.T[1]
pframe = wxmplot.PlotFrame()
pframe.plot(self.X,
self.Y,
title="Counts per voltage",
xlabel="Voltage (V)",
ylabel="Counts",
marker='+',
size=5,
color='Black')
pframe.Show()
def plot_wxmplot(self, arg=None):
frame = wxmplot.PlotFrame()
filename = os.path.join(self.result_dir, self.result_name,
self.result.filename)
f = open(filename, 'r')
names = f.readline().split(',')
columns = len(names)
value_arrays = []
for i in range(columns):
value_arrays.append([])
base_time = None
for line in f:
values = line.split(',')
if base_time is None:
base_time = float(values[0])
t = round(float(values[0]) - base_time, 2)
value_arrays[0].append(t)
for i in range(1, columns):
try:
v = float(values[i])
value_arrays[i].append(v)
except Exception as e:
value_arrays[i].append(0)
pass
time_array = numpy.array(value_arrays[0])
for i in range(1, columns):
value_array = numpy.array(value_arrays[i])
frame.oplot(time_array, value_array, label=names[i])
'''
r = numpy.recfromcsv(filename, case_sensitive=True)
print(repr(r))
print r.dtype
names = r.dtype.names
x = names[0]
print r[x]
for name in names[1:]:
# print name, r[x], r[name]
frame.oplot(r[x], r[name])
'''
# pframe.plot(x, y1, title='Test 2 Axes with different y scales',
# xlabel='x (mm)', ylabel='y1', ymin=-0.75, ymax=0.75)
# pframe.oplot(x, y2, y2label='y2', side='right', ymin=0)
frame.SetTitle(self.result.name)
frame.Show()
def demo_simplest():
noise = np.random.normal
n = 201
x = np.linspace(0, 100, n)
y1 = np.sin(x / 3.4) / (0.2 * x + 2) + noise(size=n, scale=0.1)
y2 = 92 + 65 * np.cos(x / 16.) * np.exp(-x * x / 7e3) + noise(size=n,
scale=0.3)
app = wx.App()
pframe = wxmplot.PlotFrame()
pframe.plot(x,
y1,
title='Test 2 Axes with different y scales',
xlabel='x (mm)',
ylabel='y1',
ymin=-0.75,
ymax=0.75)
pframe.oplot(x, y2, y2label='y2', side='right', ymin=0)
pframe.Show()
app.MainLoop()
def plot_wxmplot(self, arg=None):
frame = wxmplot.PlotFrame()
filename = os.path.join(self.result_dir, self.result_name, self.result.filename)
f = open(filename, 'r')
names = f.readline().split(',')
columns = len(names)
value_arrays = []
for i in range(columns):
value_arrays.append([])
base_time = None
for line in f:
values = line.split(',')
if base_time is None:
base_time = float(values[0])
t = round(float(values[0]) - base_time, 2)
value_arrays[0].append(t)
for i in range(1, columns):
try:
v = float(values[i])
value_arrays[i].append(v)
except Exception, e:
value_arrays[i].append('nan')
pass
def SetupPlot(self):
'''
this sets up the plots
using the xmplot described on
https://newville.github.io/wxmplot/plotpanel.html
'''
self.PL_FRAME = PL.PlotFrame(parent=None)
self.PL_FRAME.set_title('tank level ')
# here I play with a datetime array which will be the x
start = dt.datetime(2000, 1, 1)
starty = 10.
startx = 2.
#dt_array = np.array([start + dt.timedelta(hours=i) for i in range(24)])
#Create emtpy numpy arrays
x_array = np.array([])
y_array = np.array([])
dt_array = np.array([])
# now append elements
for k in range(10000):
x_array = np.append(x_array, startx + k)
dt_array = np.append(dt_array, start + dt.timedelta(hours=k))
#y_array = np.append(y_array,starty+k)
y = np.random.random()
y_array = np.append(y_array, np.sin(k) * y)
print
self.PL_FRAME.plot(x_array,
y_array,
marker='*',
markersize=4,
drawstyles='steps-mid')
self.PL_FRAME.Show()
#!/usr/bin/python
#
# simple example of wxMPlot
import sys
import wx
import numpy
import wxmplot
x = numpy.arange(0.0, 10.0, 0.1)
y = numpy.sin(2 * x) / (x + 2)
app = wx.App()
pframe = wxmplot.PlotFrame(output_title='simple')
pframe.plot(x, y, title='Test Plot', xlabel=r' ${ R \mathrm{(\AA)}}$ ')
pframe.write_message('WXMPlot PlotFrame example: Try Help->Quick Reference')
pframe.Show()
#
app.MainLoop()
inputs = kl.Input((INPUT_DIM, 1))
prev = TemporalConvNet([160], 8, 0.1)(inputs, training=True)
prev = kl.Dense(1, activation='softmax')(prev)
model = tf.keras.Model(inputs, prev)
model.summary()
model.compile(optimizer=optimizer, loss='mse')
tlosses = list(np.linspace(0, 0, 1000))
vlosses = list(np.linspace(0, 0, 1000))
ilosses = np.linspace(0, 1000, 1000)
i = 0
app = wx.App()
frame = wxmplot.PlotFrame()
frame.plot(ilosses, tlosses, color='red')
frame.oplot(ilosses, vlosses, color='darkgreen')
frame.Show()
threading.Thread(target=app.MainLoop).start()
epoch_range = trange(100)
for e in epoch_range:
batch_range = trange(100)
train_gen = None
valid_gen = None
for b in batch_range:
train_block = next_block(train_files, train_gen, INPUT_DIM)
valid_block = next_block(valid_files, valid_gen, INPUT_DIM)
#!/usr/bin/python
#
import wx
import numpy as np
import wxmplot
x = np.linspace(0, 5, 201)
traces = []
for i in range(20):
traces.append(
(x, np.sqrt(x) * np.sin(0.25 * (i + 1) * x) * np.exp(-x / 2)))
app = wx.App()
pframe = wxmplot.PlotFrame(output_title='Plot Multiple')
pframe.plot_many(traces,
title='Test Plotting 20 traces with plot_many()',
xlabel=r'x (mm)')
pframe.write_message('WXMPlot PlotFrame example: Try Help->Quick Reference')
pframe.Show()
#
app.MainLoop()