importar matplotlib.pyplot como 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 import matplotlib.pyplot as plt
plt.plot([1,2,3,4])
plt.ylabel('some numbers')
plt.show()from matplotlib import pyplot as plt
import matplotlib.pyplot as plt1
print(dir(plt) == dir(plt1))
Trueimport 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()from matplotlib import pyplot as plt
df.plot()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()