I have this kind of an animation and I want to integrate it to my GUI. here is the plot
But, the background color is set to black right now. Here is the code. I am using Windows 10 and for GUI I am mostly using PyQt6 but for the matplotlib I used mlp.use("TkAgg") because it didn't create output if I dont use TkAgg.
I want to make it transparent. I only want the curves. I searched on the internet but everything is about save() function. Isn't there another solution for this? I don't want to save it, I am using animation, therefore it should be transparent everytime, not in a image.
import queue
import sys
from matplotlib.animation import FuncAnimation
import PyQt6.QtCore
import matplotlib as mlp
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg
as FigureCanvas
mlp.use("TkAgg")
import matplotlib.pyplot as plt
import numpy as np
import sounddevice as sd
plt.rcParams['toolbar'] = 'None'
plt.rcParams.update({
"figure.facecolor": "black", # red with alpha = 30%
})
# Lets define audio variables
# We will use the default PC or Laptop mic to input the sound
device = 0 # id of the audio device by default
window = 1000 # window for the data
downsample = 1 # how much samples to drop
channels = [1] # a list of audio channels
interval = 40 # this is update interval in miliseconds for plot
# lets make a queue
q = queue.Queue()
# Please note that this sd.query_devices has an s in the end.
device_info = sd.query_devices(device, 'input')
samplerate = device_info['default_samplerate']
length = int(window*samplerate/(1000*downsample))
plotdata = np.zeros((length,len(channels)))
# next is to make fig and axis of matplotlib plt
fig,ax = plt.subplots(figsize=(2,1))
fig.subplots_adjust(0,0,1,1)
ax.axis("off")
fig.canvas.manager.window.overrideredirect(1)
# lets set the title
ax.set_title("On Action")
# Make a matplotlib.lines.Line2D plot item of color green
# R,G,B = 0,1,0.29
lines = ax.plot(plotdata,color = "purple")
# We will use an audio call back function to put the data in
queue
def audio_callback(indata,frames,time,status):
q.put(indata[::downsample,[0]])
# now we will use an another function
# It will take frame of audio samples from the queue and update
# to the lines
def update_plot(frame):
global plotdata
while True:
try:
data = q.get_nowait()
except queue.Empty:
break
shift = len(data)
plotdata = np.roll(plotdata, -shift,axis = 0)
# Elements that roll beyond the last position are
# re-introduced
plotdata[-shift:,:] = data
for column, line in enumerate(lines):
line.set_ydata(plotdata[:,column])
return lines
# Lets add the grid
ax.set_yticks([0])
# ax.yaxis.grid(True)
""" INPUT FROM MIC """
stream = sd.InputStream(device = device, channels = max(channels),
samplerate = samplerate, callback = audio_callback)
""" OUTPUT """
ani = FuncAnimation(fig,update_plot,interval=interval,blit=True, )
plt.get_current_fig_manager().window.wm_geometry("200x100+850+450")
with stream:
plt.show()
