How can I change the values dislayed in the top right corner of matplot figure? By default it is showing coordinates of the current cursor position but I’d prefer it to show the value of displayed data for current x cursor’s coordinate. I marked these values in the attached picure. diagram
Here’s a simple code. Pls tell me how to solve described problem for this example:
from matplotlib import pyplot as plt
import soundfile as sf
data_mono = []
x_click = 0
# Loding an audio signal
data, sps = sf.read("stereo_v2.wav")
# Signal loaded by sf.read() is stereo (after plotting there are going to be
# 2 values for every sample) so we need to make it mono. This is what a loop
# down below is doing.
for i in range(0,len(data)):
bufor = ((data[i][0] + data[i][1])/2)
data_mono.append(bufor)
fig, ax = plt.subplots()
ax = plt.plot(data_mono)
# Below function is creating a vertical line in a place of left mouse click.
# Right click is deleting recently created line.
def click(event):
global x_click
x_click = event.xdata
if event.button == plt.MouseButton.LEFT:
global line
line = plt.axvline(event.xdata)
elif event.button == plt.MouseButton.RIGHT:
plt.gca().lines[-1].remove()
# "Connecting" the cursor to above function.
cid = fig.canvas.mpl_connect('button_press_event', click)
# Loop displaying the plot and refreshing it every 0.05 second. When x coordinate
# of registered click is bigger than 0.9999 of the maximal x value loop
# will break.
while True:
plt.pause(0.05)
if x_click >= (len(data_mono))*0.9999:
break
>Solution :
You have to retrieve the x-value and use it as the index of your sound data list. As you have to check for the validity of the index, we define now a function NavigCoordin():
import numpy as np
from matplotlib import pyplot as plt
import soundfile as sf
data_mono = []
x_click = 0
# Loding an audio signal
data, sps = sf.read("test.wav")
# Signal loaded by sf.read() is stereo (after plotting there are going to be
# 2 values for every sample) so we need to make it mono. This is what a loop
# down below is doing.
for i in range(0,len(data)):
bufor = ((data[i][0] + data[i][1])/2)
data_mono.append(bufor)
fig, ax = plt.subplots(figsize=(15, 4))
#don't overwrite your axis object - you need it later on
ax.plot(data_mono)
#the function to determine the x-index and the corresponding y-value from the array
#and return a string depending on the x-value
def NavigCoordin(x, y):
if x>=0 and x<=len(data_mono):
return f"x: {int(x+0.5)}, y: {data_mono[int(x+0.5)]:.4f}"
else:
return "outside the range"
#link the function to the axis object
ax.format_coord = NavigCoordin
# Below function is creating a vertical line in a place of left mouse click.
# Right click is deleting recently created line.
def click(event):
global x_click
x_click = event.xdata
if event.button == plt.MouseButton.LEFT:
global line
line = ax.axvline(event.xdata)
elif event.button == plt.MouseButton.RIGHT:
ax.lines[-1].remove()
# "Connecting" the cursor to above function.
cid = fig.canvas.mpl_connect('button_press_event', click)
# Loop displaying the plot and refreshing it every 0.05 second. When x coordinate
# of registered click is bigger than 0.9999 of the maximal x value loop
# will be break.
while True:
plt.pause(0.05)
if x_click >= (len(data_mono))*0.9999:
break
Sample output:
