I am trying to draw digital signal waveform graph for bits like 01010101010101 using pyplot in python, like
Is it possible with Pyplot?
As noted by tcaswell, the right function to use is step
. Here an example that approximates your given plot:
import matplotlib.pyplot as plt
import numpy as np
def my_lines(ax, pos, *args, **kwargs):
if ax == 'x':
for p in pos:
plt.axvline(p, *args, **kwargs)
else:
for p in pos:
plt.axhline(p, *args, **kwargs)
bits = [0,1,0,1,0,0,1,1,1,0,0,1,0]
data = np.repeat(bits, 2)
clock = 1 - np.arange(len(data)) % 2
manchester = 1 - np.logical_xor(clock, data)
t = 0.5 * np.arange(len(data))
plt.hold(True)
my_lines('x', range(13), color='.5', linewidth=2)
my_lines('y', [0.5, 2, 4], color='.5', linewidth=2)
plt.step(t, clock + 4, 'r', linewidth = 2, where='post')
plt.step(t, data + 2, 'r', linewidth = 2, where='post')
plt.step(t, manchester, 'r', linewidth = 2, where='post')
plt.ylim([-1,6])
for tbit, bit in enumerate(bits):
plt.text(tbit + 0.5, 1.5, str(bit))
plt.gca().axis('off')
plt.show()
Just use plt.step
plt.step(x, y, where='pre')
See the docs and Linestyle in matplotlib step function and Step function in matplotlib for examples.
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