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%matplotlib widget
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
plt.rcParams['font.size']=20
#data
x = np.linspace(1,9,9)[:,np.newaxis]
y = np.linspace(1,9,9)[:,np.newaxis].T
kuku = x*y
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import numpy as np
import matplotlib.pyplot as plt
from scipy import ndimage
import matplotlib.animation as animation
from IPython.display import HTML
from mpl_toolkits.axes_grid1 import make_axes_locatable
cmaps = ['turbo','viridis', 'plasma', 'inferno', 'magma', 'cividis','Greys', 'Purples',
'Blues', 'Greens', 'Oranges', 'Reds','YlOrBr', 'YlOrRd', 'OrRd', 'PuRd', 'RdPu',
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import matplotlib.pyplot as plt
from skimage.filters import threshold_sauvola
from skimage.color import rgb2gray
from mpl_toolkits.axes_grid1 import ImageGrid
import numpy as np
from skimage.morphology import opening,square
from skimage.measure import label, regionprops
#load image
image = rgb2gray(plt.imread('sisioumaru_seeds.jpg'))
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import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import CirclePolygon
import matplotlib.animation as animation
from IPython.display import HTML
fig, ax = plt.subplots(figsize=(6,6),subplot_kw={'aspect': 'equal'})
arttists=[]
def update(num):
if len(arttists)>0:
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import numpy as np
import matplotlib.pyplot as plt
x,y = np.meshgrid(np.linspace(0.1,0.9,9),np.linspace(0.1,0.9,9))
#xlabel position
fig,ax = plt.subplots(1,3,figsize=(8,3))
ax = ax.ravel()
fig.patch.set_facecolor('white')
loc=['left','center','right']