nn/plot.ipynb

In [4]:

import matplotlib
import numpy as np

print(matplotlib.__version__)

3.10.8

In [5]:

from matplotlib import pyplot as plt

In [6]:

xpoints = np.array([0,6])
ypoints = np.array([0,100])

In [7]:

plt.plot(xpoints,ypoints)

Out [7]:

[<matplotlib.lines.Line2D at 0x7f670479bcb0>]

In [8]:

xpoints = np.array([1, 8])
ypoints = np.array([3, 10])

plt.plot(xpoints, ypoints)
plt.show()

In [9]:

xpoints = np.array([1, 8])
ypoints = np.array([3, 10])

plt.plot(xpoints, ypoints, 'o')
plt.show()

In [10]:

xpoints = np.array([1, 2, 6, 8])
ypoints = np.array([3, 8, 1, 10])

plt.plot(xpoints, ypoints)
plt.show()

In [11]:

ypoints = np.array([3, 10])

plt.plot(ypoints)
plt.show()

In [12]:

x = np.arange(0,4*np.pi,0.1)   # start,stop,step
y = np.sin(x)
z = np.cos(x)
plt.plot(x,y,x,z)
plt.show()

In [13]:

x = np.array([1, 2, 3, 4])
y = np.array([1, 4, 9, 16])
plt.plot(x, y)

plt.xlabel("x - label")
plt.ylabel("y - label")

Out [13]:

Text(0, 0.5, 'y - label')

In [16]:

x = np.array([1, 2, 3, 4])
y = np.array([1, 4, 9, 16])
plt.plot(x, y)

plt.title("tittle")
plt.xlabel("x - label")
plt.ylabel("y - label")

plt.show()

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