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pip matplotlib

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Athul Mathew answered on March 21, 2020 Popularity 10/10 Helpfulness 4/10

answer pip matplotlib

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pip matplotlib

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! pip install matplotlib

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Contributed on Aug 18 2022

Athul Mathew

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python pip install matplotlib

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pip install matplotlib

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Tags: matplotlib m

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Contributed on Mar 21 2020

Tremendous Enceladus

0 Answers Avg Quality 2/10

matplotlib install

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pip3 install matplotlib

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Tags: matplotlib m

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Contributed on Mar 26 2021

Salo Hopeless

0 Answers Avg Quality 2/10

install matplotlib pip

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// install matplotlib

pip install matplotlib

// using conda

conda install -c conda-forge matplotlib

Popularity 10/10 Helpfulness 6/10 Language python

Source: Grepper

Tags: matplotlib m

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Contributed on Nov 07 2020

Dhrey112

0 Answers Avg Quality 2/10

Use matplotlib in python

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import matplotlib.pyplot as plt # Import the matplotlib module
from matplotlib import style # Optionally you dont need to use style
style.use('ggplot') # Just for style

x = [10, 20, 30, 40, 50] # Get points to plot on graph

plt.plot(x) # We want to plot x on our graph
plt.show()

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Tags: matplotlib m

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Contributed on Jul 08 2020

Homely Hawk

0 Answers Avg Quality 2/10

python matplotlib

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#install matplotlib
pip install matplotlib

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Tags: matplotlib m

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Contributed on Apr 17 2021

alws34

0 Answers Avg Quality 2/10

matplotlib.pyplot

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import numpy as np
import matplotlib.pyplot as plt

x = np.arange(0, 5, 0.1);
y = np.sin(x)
plt.plot(x, y)

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Source: matplotlib.org

Tags: python py

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Contributed on Jun 04 2020

Friendly Flatworm

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matplotlib.pyplot

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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()

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Tags: python py

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Contributed on May 04 2022

Mouad En-naciry

0 Answers Avg Quality 2/10

matplotlib.pyplot

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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()

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Source: www.activestate.com

Tags: python py

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Contributed on Jun 04 2022

Funny Fly

0 Answers Avg Quality 2/10

matplotlib.pyplot

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plt.plot([1, 2, 3, 4], [1, 4, 9, 16]) # plot x against y

Popularity 10/10 Helpfulness 2/10 Language python

Source: Grepper

Tags: python py

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Contributed on Apr 03 2020

Open Opossum

0 Answers Avg Quality 2/10

pip matplotlib

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