CoCalc -- 12-6-21 Participation_by_Erik

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Project: Erik Yan - Fall 2021 MAT1630

Path: Participation/12-6-21 Participation_by_Erik_Yan.ipynb

Views: ³²
Image: ubuntu2004

Kernel: Python 3 (system-wide)

In [1]:

import numpy as np
import matplotlib.pyplot as plt

In [3]:

picture = plt.imread('DSCF0867.JPG')

In [4]:

plt.imshow(picture)

Out[4]:

<matplotlib.image.AxesImage at 0x7fb637860c40>

In [6]:

picture_2 = np.array(picture)
picture_2[:,:,:] = picture_2[::-1,::-1,::]
plt.imshow(picture_2)

Out[6]:

<matplotlib.image.AxesImage at 0x7fb631542670>

The code above is the 180 degree rotation of the first image. You take the original image and you take the second to last value with -1. This then rotates your image and you get picture_2.

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all in one place. Commercial Alternative to JupyterHub.