sabopy

%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.mplot3d import Axes3D 
import matplotlib.animation as animation
from IPython.display import HTML

def midpoints(x):
    sl = ()
    for i in range(x.ndim):

sabopy

sabopy

%matplotlib widget
import matplotlib.pyplot as plt
from matplotlib import cm
import numpy as np
from mpl_toolkits.mplot3d import Axes3D

#make data
delta = 0.08
x = y = np.arange(-4.0, 4.04, delta)
X, Y = np.meshgrid(x, y)

sabopy

%matplotlib widget
from mpl_toolkits.mplot3d import Axes3D 
import matplotlib.pyplot as plt 
import matplotlib.animation as animation
from IPython.display import HTML
import numpy as np
from matplotlib import cm

#make data
u=np.linspace(0,2*np.pi,100)

sabopy

sabopy

from matplotlib import cm
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np

u=np.linspace(0,2*np.pi,100)
v=np.linspace(0,2*np.pi,100)
u,v=np.meshgrid(u,v)
a = 2
b = 9

sabopy

%matplotlib
import matplotlib.pyplot as plt
from skimage.transform import swirl
import matplotlib.animation as animation
from IPython.display import HTML

#load image
img = plt.imread('kabutomaru.jpg')

#make swirled images

sabopy

import matplotlib.pyplot as plt
import numpy as np

fig, (ax1, ax2) = plt.subplots(1,2,figsize=(9,4))

ind = np.arange(1,5,1)

ax1.bar(ind,ind, color='m', edgecolor='black', hatch="/")
ax1.bar(ind, np.ones(4) * 4, bottom=ind,
        color='c', edgecolor='black', hatch='//')

sabopy

sabopy

import matplotlib.pyplot as plt

from skimage import data, color, img_as_ubyte
from skimage.feature import canny
from skimage.transform import hough_ellipse
from skimage.draw import ellipse_perimeter
from skimage.color import rgb2gray,rgba2rgb


# Load picture, convert to grayscale and detect edges