Impor matplotlib.pyplot sebagai PLT
from matplotlib import pyplot as plt
import matplotlib.pyplot as plt
Foolish Flamingo
from matplotlib import pyplot as plt
import matplotlib.pyplot as plt
from matplotlib import pyplot as plt
import matplotlib.pyplot as plt1
print(dir(plt) == dir(plt1))
True
import numpy as np
import matplotlib.pyplot as plt
x = np.array([1, 3, 4, 6])
y = np.array([2, 3, 5, 1])
plt.plot(x, y)
plt.show()
import matplotlib.pyplot as plt
x=[0,10,20,30,60,90]
y=[-4.39,-4.69,-4.99,-5.30,-6.21,-7.13]
fig=plt.figure()
ax=fig.add_axes([0,0,1,1]) #grand
plt.plot(x,y)
plt.show()
#install matplotlib
pip install matplotlib
import matplotlib.pyplot as plt
import numpy as np
# Generate pseudo-random numbers:
np.random.seed(0)
# Sampling interval:
dt = 0.01
# Sampling Frequency:
Fs = 1 / dt # ex[;aom Fs]
# Generate noise:
t = np.arange(0, 10, dt)
res = np.random.randn(len(t))
r = np.exp(-t / 0.05)
# Convolve 2 signals (functions):
conv_res = np.convolve(res, r)*dt
conv_res = conv_res[:len(t)]
s = 0.5 * np.sin(1.5 * np.pi * t) + conv_res
# Create the plot:
fig, (ax) = plt.subplots()
ax.plot(t, s)
# Function plots phase spectrum:
ax.phase_spectrum(s, Fs = Fs)
plt.title(“Phase Spectrum Plot”)
plt.show()