“matplotlib.pyplot” Respostas de código

importar matplotlib.pyplot como pLT

from matplotlib import pyplot as plt

import matplotlib.pyplot as plt 
Foolish Flamingo

importar matplotlib.pyplot como pLT

from matplotlib import pyplot as plt

import matplotlib.pyplot as plt1

print(dir(plt) == dir(plt1))
True
Foolish Flamingo

pyplot python

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()
Witty Willet

matplotlib.pyplot

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()
Mouad En-naciry

python matplotlib

#install matplotlib
pip install matplotlib
alws34

matplotlib.pyplot

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()
Funny Fly

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