def legend(status=True, pos=None, fontsize=None):
""" legend(status=True): Show/Hide legend.\n status = True if legend must be shown, False otherwise.\n pos = Legend position.\n fontsize = Font size """
plt = getPlot()
if not plt:
return
plt.legend = status
if pos:
plt.legPos = pos
if fontsize:
plt.legSiz = fontsize
# Hide all legends
for axes in plt.axesList:
axes.legend_ = None
# Legend must be activated on last axes
axes = plt.axesList[-1]
if status:
# Setup legend handles and names
lines = series()
handles = []
names = []
for l in lines:
if l.name != None:
handles.append(l.line)
names.append(l.name)
# Show the legend
l = axes.legend(handles, names, bbox_to_anchor=plt.legPos)
for t in l.get_texts():
t.set_fontsize(plt.legSiz)
plt.update()
def save(path, figsize=None, dpi=None):
"""Save plot.
Keyword arguments:
path -- Destination file path.
figsize -- w,h figure size tuple in inches.
dpi -- Dots per inch.
"""
plt = getPlot()
if not plt:
return
# Backup figure options
fig = plt.fig
sizeBack = fig.get_size_inches()
dpiBack = fig.get_dpi()
# Save figure with new options
if figsize:
fig.set_size_inches(figsize[0], figsize[1])
if dpi:
fig.set_dpi(dpi)
plt.canvas.print_figure(path)
# Restore figure options
fig.set_size_inches(sizeBack[0], sizeBack[1])
fig.set_dpi(dpiBack)
plt.update()
def save(path, figsize=None, dpi=None):
"""Save plot.
Keyword arguments:
path -- Destination file path.
figsize -- w,h figure size tuple in inches.
dpi -- Dots per inch.
"""
plt = getPlot()
if not plt:
return
# Backup figure options
fig = plt.fig
sizeBack = fig.get_size_inches()
dpiBack = fig.get_dpi()
# Save figure with new options
if figsize:
fig.set_size_inches(figsize[0], figsize[1])
if dpi:
fig.set_dpi(dpi)
plt.canvas.print_figure(path)
# Restore figure options
fig.set_size_inches(sizeBack[0], sizeBack[1])
fig.set_dpi(dpiBack)
plt.update()
def legend(status=True, pos=None, fontsize=None): """ legend(status=True): Show/Hide legend.\n status = True if legend must be shown, False otherwise.\n pos = Legend position.\n fontsize = Font size """ plt = getPlot() if not plt: return plt.legend = status if pos: plt.legPos = pos if fontsize: plt.legSiz = fontsize # Hide all legends for axes in plt.axesList: axes.legend_ = None # Legend must be activated on last axes axes = plt.axesList[-1] if status: # Setup legend handles and names lines = series() handles = [] names = [] for l in lines: if l.name != None: handles.append(l.line) names.append(l.name) # Show the legend l = axes.legend(handles, names, bbox_to_anchor=plt.legPos) for t in l.get_texts(): t.set_fontsize(plt.legSiz) plt.update()
def ylabel(string): """ ylabel(string): Setup y label.\n string = Title to set. """ plt = getPlot() if not plt: return axes = plt.axes axes.set_ylabel(string) plt.update()
def title(string): """ title(string): Setup plot title.\n string = Title to set. """ plt = getPlot() if not plt: return axes = plt.axes axes.set_title(string) plt.update()
def title(string):
""" title(string): Setup plot title.\n string = Title to set. """
plt = getPlot()
if not plt:
return
axes = plt.axes
axes.set_title(string)
plt.update()
def ylabel(string):
""" ylabel(string): Setup y label.\n string = Title to set. """
plt = getPlot()
if not plt:
return
axes = plt.axes
axes.set_ylabel(string)
plt.update()
def grid(status=True): """ grid(status=True): Show/Hide grid.\n status = True if grid must be shown, False otherwise. """ plt = getPlot() if not plt: return plt.grid = status axes = plt.axes axes.grid(status) plt.update()
def grid(status=True):
""" grid(status=True): Show/Hide grid.\n status = True if grid must be shown, False otherwise. """
plt = getPlot()
if not plt:
return
plt.grid = status
axes = plt.axes
axes.grid(status)
plt.update()
def ylabel(string):
"""Setup the y label.
Keyword arguments:
string -- Title to set.
"""
plt = getPlot()
if not plt:
return
axes = plt.axes
axes.set_ylabel(string)
plt.update()
def title(string):
"""Setup the plot title.
Keyword arguments:
string -- Plot title.
"""
plt = getPlot()
if not plt:
return
axes = plt.axes
axes.set_title(string)
plt.update()
def title(string):
"""Setup the plot title.
Keyword arguments:
string -- Plot title.
"""
plt = getPlot()
if not plt:
return
axes = plt.axes
axes.set_title(string)
plt.update()
def ylabel(string):
"""Setup the y label.
Keyword arguments:
string -- Title to set.
"""
plt = getPlot()
if not plt:
return
axes = plt.axes
axes.set_ylabel(string)
plt.update()
def grid(status=True):
"""Show/Hide the grid from the active plot.
Keyword arguments:
status -- True if grid must be shown, False otherwise.
"""
plt = getPlot()
if not plt:
return
plt.grid = status
axes = plt.axes
axes.grid(status)
plt.update()
def grid(status=True):
"""Show/Hide the grid from the active plot.
Keyword arguments:
status -- True if grid must be shown, False otherwise.
"""
plt = getPlot()
if not plt:
return
plt.grid = status
axes = plt.axes
axes.grid(status)
plt.update()
def legend(status=True, pos=None, fontsize=None):
"""Show/Hide the legend from the active plot.
Keyword arguments:
status -- True if legend must be shown, False otherwise.
pos -- Legend position.
fontsize -- Font size
"""
plt = getPlot()
if not plt:
return
plt.legend = status
if fontsize:
plt.legSiz = fontsize
# Hide all legends
for axes in plt.axesList:
axes.legend_ = None
# Legend must be activated on last axes
axes = plt.axesList[-1]
if status:
# Setup legend handles and names
lines = series()
handles = []
names = []
for l in lines:
if l.name is not None:
handles.append(l.line)
names.append(l.name)
# Show the legend (at selected position or at best)
if pos:
l = axes.legend(handles, names, bbox_to_anchor=pos)
plt.legPos = pos
else:
l = axes.legend(handles, names, loc='best')
# Update canvas in order to compute legend data
plt.canvas.draw()
# Get resultant position
try:
fax = axes.get_frame().get_extents()
except:
fax = axes.patch.get_extents()
fl = l.get_frame()
plt.legPos = (
(fl._x + fl._width - fax.x0) / fax.width,
(fl._y + fl._height - fax.y0) / fax.height)
# Set fontsize
for t in l.get_texts():
t.set_fontsize(plt.legSiz)
plt.update()
def legend(status=True, pos=None, fontsize=None):
"""Show/Hide the legend from the active plot.
Keyword arguments:
status -- True if legend must be shown, False otherwise.
pos -- Legend position.
fontsize -- Font size
"""
plt = getPlot()
if not plt:
return
plt.legend = status
if fontsize:
plt.legSiz = fontsize
# Hide all legends
for axes in plt.axesList:
axes.legend_ = None
# Legend must be activated on last axes
axes = plt.axesList[-1]
if status:
# Setup legend handles and names
lines = series()
handles = []
names = []
for l in lines:
if l.name is not None:
handles.append(l.line)
names.append(l.name)
# Show the legend (at selected position or at best)
if pos:
l = axes.legend(handles, names, bbox_to_anchor=pos)
plt.legPos = pos
else:
l = axes.legend(handles, names, loc='best')
# Update canvas in order to compute legend data
plt.canvas.draw()
# Get resultant position
try:
fax = axes.get_frame().get_extents()
except Exception:
fax = axes.patch.get_extents()
fl = l.get_frame()
plt.legPos = ((fl._x + fl._width - fax.x0) / fax.width,
(fl._y + fl._height - fax.y0) / fax.height)
# Set fontsize
for t in l.get_texts():
t.set_fontsize(plt.legSiz)
plt.update()
def removeSerie(index):
""" removeSerie(index): Removes a serie from plot.\n index = Index of serie to remove. """
# Get active series
plt = getPlot()
if not plt:
return
plots = plt.series
if not plots:
return
# Remove line from plot
axes = plots[index].axes
axes.lines.pop(plots[index].lid)
# Remove serie from list
del plt.series[index]
# Update GUI
plt.update()
def removeSerie(index): """ removeSerie(index): Removes a serie from plot.\n index = Index of serie to remove. """ # Get active series plt = getPlot() if not plt: return plots = plt.series if not plots: return # Remove line from plot axes = plots[index].axes axes.lines.pop(plots[index].lid) # Remove serie from list del plt.series[index] # Update GUI plt.update()
def addNewAxes(rect=None, frameon=True, patchcolor='none'):
""" addNewAxes(pos=None, frameon=True): Add new axes to plot, setting it as active one.\n rect = Axes area, None to copy last axes data.\n frameon = True to show frame, False otherwise.\n patchcolor = Patch color, 'none' for transparent plot. """
plt = getPlot()
if not plt:
return None
fig = plt.fig
if rect == None:
rect = plt.axes.get_position()
ax = fig.add_axes(rect, frameon=frameon)
ax.xaxis.set_ticks_position('bottom')
ax.spines['top'].set_color('none')
ax.yaxis.set_ticks_position('left')
ax.spines['right'].set_color('none')
ax.patch.set_facecolor(patchcolor)
plt.axesList.append(ax)
plt.setActiveAxes(-1)
plt.update()
return ax
def addNewAxes(rect=None, frameon=True, patchcolor='none'):
""" addNewAxes(pos=None, frameon=True): Add new axes to plot, setting it as active one.\n rect = Axes area, None to copy last axes data.\n frameon = True to show frame, False otherwise.\n patchcolor = Patch color, 'none' for transparent plot. """
plt = getPlot()
if not plt:
return None
fig = plt.fig
if rect == None:
rect = plt.axes.get_position()
ax = fig.add_axes(rect, frameon=frameon)
ax.xaxis.set_ticks_position('bottom')
ax.spines['top'].set_color('none')
ax.yaxis.set_ticks_position('left')
ax.spines['right'].set_color('none')
ax.patch.set_facecolor(patchcolor)
plt.axesList.append(ax)
plt.setActiveAxes(-1)
plt.update()
return ax
def removeSerie(index):
"""Remove a data serie from the active plot.
Keyword arguments:
index -- Index of the serie to remove.
"""
# Get active series
plt = getPlot()
if not plt:
return
plots = plt.series
if not plots:
return
# Remove line from plot
axes = plots[index].axes
axes.lines.pop(plots[index].lid)
# Remove serie from list
del plt.series[index]
# Update GUI
plt.update()
def removeSerie(index):
"""Remove a data serie from the active plot.
Keyword arguments:
index -- Index of the serie to remove.
"""
# Get active series
plt = getPlot()
if not plt:
return
plots = plt.series
if not plots:
return
# Remove line from plot
axes = plots[index].axes
axes.lines.pop(plots[index].lid)
# Remove serie from list
del plt.series[index]
# Update GUI
plt.update()
def tempvis(csv_file, tmax, tmin, cmap, showortell='show'):
"""This function converts the csv file into a black-and-white picture. It does not at present
have a colorbar to indicate the temperature scale."""
csv = np.genfromtxt(csv_file, delimiter=',')
title = '\n Heat map of ' + csv_file.split("/")[-1][:-4] + '\n'
fig = plt.figure()
ax1 = fig.add_subplot(121)
ax1.imshow(csv)
ax1.set(title=title)
ax2 = fig.add_subplot(122)
ax2.imshow(np.zeros_like(csv))
plt.subplots_adjust()
x, y = np.meshgrid(np.arange(csv.shape[1]), np.arange(csv.shape[0]))
pix = np.vstack((x.flatten(), y.flatten())).T
saved_localmax = []
saved_localmaxavg = []
saved_localmin = []
saved_localavg = []
saved_labels = []
def onselect(verts):
#Driver for lasso selection on images
p = Path(verts)
ind = p.contains_points(pix, radius=1)
selected = np.zeros_like(csv)
selected.flat[ind] = csv.flat[ind]
data = csv.flat[ind]
ax2.imshow(selected)
fig.canvas.draw_idle()
save = input("Save data in selection?[y/n]: ")
if (save == "y"):
cached_paths.append(p)
max = np.amax(data)
maxavg = np.average(heapq.nlargest(10, data))
min = np.amin(data)
avg = np.average(data)
saved_localmax.append(max)
saved_localmaxavg.append(maxavg)
saved_localmin.append(min)
saved_localavg.append(avg)
lab = input("Label for this region: ")
saved_labels.append(lab)
plt.show()
volt = float(input("Voltage: "))
curr = float(input("Current: "))
if (input("Use same regions as last image?[y/n]: ") == "y"):
for i, p in enumerate(cached_paths):
ind = p.contains_points(pix, radius=1)
data = csv.flat[ind]
max = np.amax(data)
maxavg = np.average(heapq.nlargest(10, data))
min = np.amin(data)
avg = np.average(data)
saved_localmax.append(max)
saved_localmaxavg.append(maxavg)
saved_localmin.append(min)
saved_localavg.append(avg)
saved_labels.append(cached_labels[i])
print("Done with processing")
print("--------------------------------------")
return (saved_localmax, saved_localmaxavg, saved_localmin,
saved_localavg, saved_labels, volt, curr)
else:
cached_paths = []
cached_labels = []
lasso = LassoSelector(ax1, onselect)
plt.update()
print("Done with processing")
print("--------------------------------------")
return (saved_localmax, saved_localmaxavg, saved_localmin, saved_localavg,
saved_labels, volt, curr)
#fftData=abs(np.fft.rfft(mic))**2
#print(fftData.__len__())
#x = np.arange(0, 4097, 1)
line, = ax.plot(fftx, ffty)
#plt.plot(fftx, ffty, 'k')
ani = animation.FuncAnimation(fig, animate, fftx, interval=25, blit=True)
plt.show()
while True:
time.sleep(0.2)
mic_data = mic_chunks.pop(0)
mic = np.array(struct.unpack("%dB" % (200), mic_data[:200]))
fftData = abs(np.fft.rfft(mic))**2
plt.plot(fftData, 'k')
plt.update()
close()
f = open("Code.txt", "w")
time.sleep(0.2)
for i in range(15):
mic_data = mic_chunks.pop(0)
mic = np.array(struct.unpack("%dB" % (bufferSize * 4), mic_data))
fftData = abs(np.fft.rfft(mic))**2
stream.write(mic_data)
#s="["
#for q in mic:
# s+=str(q) + ","
#s=s[:-1] + "]"
#print(s)
