Accessing in memory
+The floating-point samples within a SignalFlow Buffer can be read and written directly from Python.
Using get and set methods
+The get() and set() methods can be used to access individual samples, indexed by channel and frame offset.
# Create a 2-channel buffer
+buf = Buffer(2, 256)
+
+# Set the sample in channel 1 at index 20 to 0.5
+buf.set(1, 20, 0.5)
+
+# Confirm that the sample is set correctly
+assert buf.get(1, 20) == 0.5
+As a numpy array
+The .data property of a Buffer points to a numpy array of shape (num_channels, num_frames), which can be used to read or write the buffer's data in real time.
import time
+
+# Create and play a one-second silent buffer
+buf = Buffer(2, graph.sample_rate)
+player = BufferPlayer(buf, loop=True)
+player.play()
+
+# Gradually add crackles to the buffer, which will be heard in real-time
+while True:
+ buf.data[0][np.random.randint(0, graph.sample_rate)] = 1.0
+ buf.data[1][np.random.randint(0, graph.sample_rate)] = 1.0
+ time.sleep(1)
+Filling a buffer with the result of a function
+Just like when creating a buffer, an existing buffer can be filled with the output of a Python function.
++ + +
+
+
+
+ Last update:
+ 2024-01-14
+
+
+ Created: + 2024-01-14 + + + +
+
+
+
+
+
+
+ + Created: + 2024-01-14 + + + +